Post on 20-Oct-2021
MINAT GENERASI MILENIAL DAN GENERASI Z BERINVESTASI DI
PASAR MODAL SYARIAH : PENGEMBANGAN MODEL TPB
Artikel ini disusun untuk mengikuti
“Call For Paper Capital Market Competition 2021’
Oleh:
Ketua Tim :Nurfania Sukma 20180610081
Anggota Tim :Ali Asidik 20190610002
:Nurul Hafifah 20190610072
FAKULTAS EKONOMI UNIVERSITAS KUNINGAN
Jalan Cut Nyak Dien No. 36A Cijoho-Kuningan 4551
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MINAT GENERASI MILENIAL DAN GENERASI Z BERINVESTASI DI
PASAR MODAL SYARIAH : PENGEMBANGAN MODEL TPB
1Nurfania Sukma,
2Ali Asidik,
3Nurul Hafifah
Fakultas Ekonomi, Universitas Kuningan, Jln. Cut Nyak Dhien No.36A Cijoho,
Kuningan 45513
* E-mail: nurfaniasukma9074@gmail.com
ABSTRAK
Indonesia sebagai negara dengan mayoritas penduduk muslim dan sebagai negara
yang diuntungkan dengan adanya fenomena bonus demografi, hal tersebut tentu
menjadi sebuah peluang yang baik bagi pertumbuhan pasar modal syariah di
Indonesia. Namun pada kenyataannya jumlah market share pasar modal syariah
masih tertinggal dari jumlah market share pasar modal konvensional. Pada tahun
2019 tingkat literasi keuangan syariah di Indonesia mencapai 8,93% dengan
tingkat inklusi keuangan syariah mencapai 9,1% dan masih tergolong rendah.
Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang
memengaruhi minat Generasi Milenial dan Generasi Z untuk berinvestasi di pasar
modal syariah. Jenis penelitian yang digunakan dalam penelitian ini adalah
penelitian kuantitatif, dengan metode penelitian deskriptif dan verifikatif. Data
primer dalam penelitian ini diperoleh dengan menggunakan kuesioner yang
disebarkan melalui Google Form. Populasi dalam penelitian ini adalah Generasi
Milenial dan Generasi Z yang merupakan Mahasiswa Fakultas Ekonomi
Universitas Kuningan tahun angkatan 2017 sampai dengan tahun angkatan 2020,
dengan jumlah sampel penelitian sebanyak 106 responden. Metode pengambilan
sampel yang digunakan dalam penelitian ini adalah non-probability sampling
dengan teknik pengambilan sampel purposive sampling. Data dalam penelitian
ini dianalisis dengan menggunakan model analisis regresi linear berganda. Hasil
penelitian ini menunjukkan bahwa secara parsial sikap investasi, norma subjektif,
persepsi kontrol perilaku dan literasi keuangan syariah tidak berpengaruh positif
terhadap minat berinvestasi di pasar modal syariah, sedangkan motivasi investasi
berpengaruh positif terhadap minat berinvestasi di pasar modal syariah. Secara
simultan sikap investasi, norma subjektif, persepsi kontrol perilaku, literasi
keuangan syariah dan motivasi investasi berpengaruh positif terhadap minat
berinvestasi di pasar modal syariah.
Kata Kunci: Literasi Keuangan Syariah, Minat Berinvestasi, Motivasi Investasi,
Theory of Planned Behavior (TPB).
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1. Pendahuluan
Saat ini industri keuangan syariah mengalami perkembangan yang cukup
signifikan salah satunya adalah sektor pasar modal syariah. Pasar modal syariah
dapat di definisikan sebagai pasar modal yang menjalankan seluruh aktivitasnya
dengan mematuhi prinsip-prinsip syariah. Pada dasarnya pasar modal syariah
memiliki fungsi intermediasi yang menghubungkan antara pihak yang
membutuhkan dana dengan pihak yang memiliki kelebihan dana. Hal ini tentunya
menjadi sumber pendanaan bagi perusahaan dan menjadi sarana berinvestasi
dengan efek syariah. Adapun produk efek syariah yang ada di dalam pasar modal
syariah saat ini yaitu: sukuk, efek syariah berupa saham, reksadana syariah, efek
beragun saham, dana investasi real estat syariah, dan efek syariah lainnya. Dalam
berita IBTimes.id, Indonesia merupakan negara dengan mayoritas penduduk
muslim terbesar di dunia, dengan jumlah 229 juta jiwa. Tentu hal tersebut menjadi
salah satu peluang bagi perkembangan industri pasar modal syariah di Indonesia.
Pasar modal syariah pada dasarnya memberikan kesempatan kepada kalangan
muslim maupun non muslim untuk berinvestasi sesuai dengan prinsip syariah, dan
dapat memberikan ketenangan dan keyakinan atas transaksi yang halal di dalam
setiap aset yang mereka investasikan.
Dalam pelaksanaannya kegiatan pasar modal syariah di Indonesia diawasi oleh
Otoritas Jasa Keuangan (OJK) yang diatur dalam Undang-Undang Nomor 21
Tahun 2011 tentang OJK. Kemudian dalam kegiatannya pasar modal syariah
menerapkan prinsip-prinsip syariah dan mengacu kepada Undang-Undang Nomor
8 Tahun 1995 tentang pasar modal. Menurut fatwa DSN-MUI Nomor: 80/DSN-
MUI/III/2011 dalam kegiatannya penyelenggaraan pasar modal syariah harus
terhindar dari unsur tadlis, taghrir, tanajusy, ikhtikar, ghisysy, ghabn,
Bai’Alma’dum, dan riba. Kegiatan pasar modal syariah harus dilaksanakan sesuai
dengan akad yang di perbolehkan dalam ajaran islam. Hal itu sesuai dengan Al
Quran surat Al-Maidah ayat 1:
“Hai orang orang yang beriman penuhilah akad-akad itu….”. (QS. 5:1).
Ayat di atas menjelaskan jika dalam Al-Quran sangat menekankan untuk
memenuhi akad ataupun janji secara sempurna, dengan terpenuhinya akad maka
akan memberikan rasa aman dan ketenangan. Adapun akad yang digunakan dalam
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kegiatan pasar modal syariah yaitu Akad Jual Beli, Akad Ijarah, Akad
Musyarakah, Akad Mudharabah, Akad Istisna, Akad Wakalah, dan Akad Kafalah.
Saat ini industri pasar modal syariah di Indonesia sedang mengalami
pertumbuhan, hal tersebut ditunjang oleh peningkatan institusi pasar dan
beragamnya jenis instrumen di pasar modal syariah di Indonesia. Direktur Utama
Bursa Efek Indonesia (BEI), Inarno Djajadi dalam Webinar Sharia Investment:
Gaining Momentum in Indonesia Economic Recovery. Mengatakan jika jumlah
investor saham syariah pada 2020 mecapai 81.413 investor. Hal tersebut
mengalami pertumbuhan lebih dari 6 kali lipat di dalam waktu 4 tahun terakhir.
Angka tersebut merupakan kenaikan dari posisi jumlah investor di tahun 2016
yang mengalami peningkatan sebesar 563 % dari 12,283 investor (KUMPARAN,
2020).
Namun harus diakui jika perkembangan pasar modal syariah di Indonesia
masih tergolong rendah jika dibandingkan dengan pasar modal konvensional. Hal
ini dapat dibuktikan dengan rendahnya market share keuangan syariah di
Indonesia per juni 2020 yang hanya mencapai angka 9,63 % dari total aset
industri keuangan Indonesia. Dalam hal ini Market share keuangan syariah di
bantu oleh sektor pasar modal syariah sebesar Rp955,89 triliun (BAREKSA,
2020). Hal tersebut disebabkan oleh rendahnya tingkat literasi pasar modal syariah
di masyarakat, serta belum meratanya pemahaman dan pengetahuan masyarakat
Indonesia tentang investasi di pasar modal syariah (Nurafiati, 2019). Berdasarkan
Survei Nasional Literasi Keuangan (SNLK) 2019 tercatat tingkat literasi keuangan
syariah mengalami kenaikan tipis dari 8,1 persen menjadi 8,93 persen. Sementara
tingkat inklusi keuangan syariah mengalami penurunan dari 11,1 % menjadi 9,1 %
(REPUBLIKA, 2019).
Secara demografis, Indonesia saat ini sedang diuntungkan oleh bonus
demografi. Pada tahun 2020 jumlah usia produktif di Indonesia mencapai angka
191,1 juta jiwa atau 70,72 persen dari total populasi penduduk Indonesia sebanyak
270,2 juta jiwa, dimana saat ini komposisi penduduk Indonesia di dominasi oleh
generasi milenial dan generasi Z, dengan nilai generasi milenial sebesar 25,87%
dan generasi Z sebesar 27,94% dari total penduduk Indonesia yang mencapai
270,2 jiwa (DATABOKS, 2021). PT Bursa Efek Indonesia (BEI) mencatat bahwa
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generasi milenial mendominasi jumlah investor di pasar modal sepanjang 2019.
Porsinya hampir mencapai setengahnya dari total keseluruhan investor di pasar
modal. Inarno Djajadi (Direktur BEI) dalam acara Penutupan Perdagangan Bursa
Efek Indonesia 2019 menyatakan bahwa jumlah investor milenial di pasar modal
menempati urutan teratas hingga mencapai 44.62%. Adapun jumlah investor yang
tercatat pada tahun 2019 yaitu sebanyak 2.47 juta investor (REPUBLIKA, 2019).
Berdasarkan pada penelitian yang dilakukan oleh Seni & Ratnadi (2017) yang
dilakukan pada generasi milenial di Kota Denpasar, hasil penelitiannya
menunjukkan jika sikap pada perilaku, kontrol perilaku persepsian dan norma
subjektif berpengaruh positif dan signifikan terhadap variabel penelitian niat
generasi muda untuk berinvestasi saham di pasar modal. Penelitian lain dari
Hikmah dan Rustam (2020) hasil penelitiannya menunjukan bahwa pengetahuan
investasi, motivasi investasi, literasi keuangan berpengaruh positif terhadap minat
investasi. Sementara persepsi resiko berpengaruh negatif terhadap minat investasi
di Kota Batam.
Berdasarkan pada uraian pemasalahan di atas peneliti tertarik untuk dapat
mengidentifikasikan faktor-faktor yang mempengaruhi minat generasi milenial
dan generasi z untuk berinvestasi di pasar modal syariah. Di dalam penelitian ini
peneliti menggunakan model Theory Of Planned Behavior (TPB) dengan
menambahkan dua variabel penelitian seperti literasi keuangan syariah dan
motivasi investasi. Tujuan dari penelitian ini adalah sebagai berikut: (1)
Menganalisis pengaruh sikap investor terhadap minat berinvestasi di pasar modal
syariah. (2) Menganalisis pengaruh norma subjektif terhadap minat berinvestasi
di pasar modal syariah. (3) Menganalisis pengaruh persepsi kontrol perilaku
terhadap minat berinvestasi di pasar modal syariah. (4) Menganalisis pengaruh
literasi keuangan syariah terhadap minat berinvestasi di pasar modal syariah. (5)
Menganalisis pengaruh motivasi investasi terhadap minat berinvestasi di pasar
modal syariah.
2. Literatur dan Pengembangan Hipotesis
Theory of Planned Behavior (TPB)
Theory of Planned Behavior (TPB) atau yang biasa disebut dengan teori
perilaku terencana merupakan perkembangan dari Theory of Reasoned Action
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(TRA). Di dalam Theory of Planned Behavior terdapat penambahan satu variabel
baru yang sebelumnya tidak ada di dalam Theory of Reasoned Action, variabel
tersebut adalah Perceived Control Behavior (PBC). Penambahan satu variabel ini
memiliki tujuan untuk menilai keterbatasan individu dalam berperilaku, menurut
teori ini minat seorang individu untuk melakukan atau tidak melakukan suatu
tindakan, bukan hanya di tentukan oleh attitude dan subjective norms saja namun
juga di tentukan oleh perceived control behavior yang dimiliki oleh individu
tersebut.
Sikap Investasi
Menurut Ajzen, 1991; Akhtar & Das, 2018; Alleyne & Broome, 2011 dalam
penelitian Salisa (2020) yang dimaksud dengan sikap adalah sebuah penilaian
individu terhadap ketertarikannya atau keinginannya untuk berinvestasi di pasar
modal. Dalam hal ini setiap individu akan memiliki minat untuk dapat
berinvestasi di pasar modal syariah ketika mereka memiliki penilaian dan
pandangan positif jika dengan berinvestasi di pasar modal syariah dapat
memberikan keuntungan bagi mereka. Berdasarkan pada penelitian yang
dilakukan oleh Seni & Ratnadi (2017) hasil penelitiannya menunjukkan jika sikap
berpengaruh terhadap minat berinvestasi di pasar modal. Hasil penelitian tersebut
sejalan dengan beberapa penelitian yang dilakukan oleh Pangestika & Ruslianti,
2019; Rahmawati & Maslichah, 2018; Pranyoto & Siregar, 2015.
H1: Sikap investasi berpengaruh positif terhadap minat berinvestasi di pasar
modal syariah.
Norma Subjektif
Menurut Ajzen (1991) dalam penelitian Salisa (2020) yang dimaksud dengan
norma subjektif adalah sebuah tekanan yang bersifat sosial yang dapat mendorong
individu untuk terlibat ataupun tidak terlibat dalam sebuah perilaku tertentu.
Ketika individu berada dalam lingkungan sosial yang memiliki pandangan positif
dan bersikap positif terhadap investasi pasar modal syariah maka hal tersebut
secara langsung ataupun tidak langsung dapat berpengaruh terhadap minat
individu untuk berinvestasi di dalam dunia pasar modal syariah. Berdasarkan pada
penelitian yang dilakukan oleh Seni & Ratnadi (2017) hasil penelitiannya
menunjukkan jika norma subjektif berpengaruh terhadap minat berinvestasi di
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pasar modal. Hasil penelitian tersebut sejalan dengan beberapa penelitian yang
dilakukan oleh Deviyanti, Purnamawati & Yasa, 2017; Pranyoto & Siregar, 2015;
Junainato, Sabtohadi & Hendriani, 2020; Listyarti, 2017; Septyanto, 2013;
Pranyoto & Siregar, 2015; Rahmawati & Maslichah, 2018.
H2: Norma subjektif berpengaruh positif terhadap minat berinvestasi di
pasar modal syariah.
Persepsi Kontrol Perilaku
Menurut Hogg dan Vaughan (2005) dalam penelitian yang di lakukan oleh
Seni & Ratnadi (2017) yang dimaksud dengan persepsi kontrol perilaku adalah
ukuran kepercayaan individu mengenai seberapa sederhana dan kompleksnya
untuk melaksanakan suatu perbuatan. Ketika sesorang memiliki sumber daya yang
cukup untuk berinvestasi baik dari sisi materi, kemampuan, dan pengetahuan
investasi maka ia dapat mengendalikan dirinya, sehingga ia memiliki minat untuk
dapat berinvestasi di pasar modal syariah. Berdasarkan pada penelitian yang
dilakukan oleh Seni & Ratnadi (2017) hasil penelitiannya menunjukkan jika
persepsi kontrol perilaku berpengaruh positif terhadap minat berinvestasi di pasar
modal. Hasil penelitian tersebut sejalan dengan beberapa penelitian yang
dilakukan oleh Junianto, Sabtohadi & Hendriani, 2020; Njuguna, Namusonge &
Kanali, 2016; Rahmawati & Maslichah, 2018; Salisa, 2020.
H3: Persepsi kontrol perilaku berpengaruh positif terhadap minat
berinvestasi di pasar modal syariah
Literasi Keuangan Syariah
Menurut Irin (2017) literasi keuangan merupakan kegiatan yang bertujuan
untuk memberikan pengetahuan dan pemahaman serta kepercayaan diri kepada
masyarakat sehingga mereka mampu untuk melakukan pengelolaan berkaitan
dengan keuangan yang akan jauh lebih baik pada waktu yang akan datang
(Hikmah & Rustam, 2020). Mengacu pada pengertian literasi keuangan menurut
Otoritas Jasa Keuangan, yang dimaksud dengan literasi keuangan syariah yaitu
merupakan konsumen dari produk dan jasa keuangan syariah dengan tujuan untuk
mengetahui dan memahami tentang lembaga jasa keuangan syariah dan mengelola
keuangan syariah sehingga mampu meningkatkan kemaslahatan (Ramadhani &
Cahyono, 2020). Berdasarkan pada penelitian yang dilakukan oleh Pranyoto &
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Siregar (2015) hasil penelitiannya menunjukkan bahwa literasi keuangan
berpengaruh signifikan terhadap minat investasi, yang artinya semakin tinggi
tingkat literasi ekonominya maka akan semakin baik pula minat masyarakat untuk
melakukan investasi di pasar modal. Hasil penelitian tersebut sejalan dengan
beberapa penelitian yang dilakukan oleh Deviyanti, Purnamawati & Yasa, 2017;
Pangestika & Rusliati, 2019; Salisa, 2020; Darmawan, Kurnia & Rejeki, 2019.
H4: Literasi keuangan syariah berpengaruh positif terhadap minat
berinvestasi di pasar modal syariah
Motivasi Investasi
Menurut Silalahi (2017) motivasi diartikan sebagai dorongan dari dalam diri
individu berdasarkan mana ia berusaha dan berperilaku dengan cara tertentu untuk
memenuhi keinginan atau kebutuhnnya (Cahya & Kusuma, 2019). Sementara
menurut Yuli (2005) motivasi merupakan suatu pembentukan perilaku yang
ditandai oleh bentuk-bentuk aktivitas atau kegiatan melalui proses psikologis, baik
yang berpengaruh oleh faktor intrinsik dan ekstrinsik yang dapat mengarahkannya
dalam mencapai apa yang diinginkanya yaitu tujuan (Saraswati & Wirakusuma,
2018). Dalam penelitian ini yang dimaksud dengan motivasi investasi adalah
suatu keadaan dimana dalam diri seseorang adanya dorongan terhadap keinginan
untuk berusaha atau berperilaku dengan cara tertentu dalam melakukan kegiatan-
kegiatannya untuk berinvestasi. Berdasarkan pada penelitian yang dilakukan oleh
Darmawan, Kurnia & Rejeki (2019) hasil penelitiannya menunjukkan jika
motivasi investasi berpengaruh positif terhadap minat berinvestasi. Hasil
penelitian tersebut sejalan dengan beberapa penelitian yang dilakukan oleh
Hikmah & Rustam, 2020; Wi & Anggraeni, 2020; Situmorang, Andreas &
Natariasari, 2014.
H5: Motivasi investasi berpengaruh positif terhadap minat berinvestasi di
pasar modal syariah
Minat Berinvestasi
Menurut Yulianti (2011) yang dimaksud dengan minat adalah kecenderungan
individu untuk memilih aktivitas kegiatan, ataupun kondisi yang bersifat personal
yang dapat merubah minat individu tersebut (Hati & Harefa, 2019). Dalam hal
investasi, minat merupakan keinginan ataupun kecenderungan yang bersifat kuat
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untuk melakukan kegiatan berinvestasi di pasar modal syariah yang disertai
perasaan senang dengan harapan untuk mendapatkan keuntungan di masa yang
akan datang.
Gambar 1: Kerangka Konseptual
3. Metode Penelitian
3.1 Pengumpulan data dan Pengukuran
Penelitian ini berjenis penelitian kuantitatif yang diartikan sebagai metode
penelitian berdasarkan filsafat positivisme yang digunakan untuk meneliti
populasi atau sampel tertentu. Pengumpulan data dalam penelitian ini
menggunakan instrumen penelitian dan analisis data bersifat kuantitatif yang
bertujuan menguji hipotesis yang telah ditetapkan. Pada suatu penelitian,
dibutuhkan suatu metode yang digunakan guna mencapai suatu tujuan yang telah
ditentukan dari penelitian tersebut. Metode penelitian adalah suatu cara yang
ditempuh oleh peneliti dalam mengumpulkan, menganalisa dan
menginterpretasikan data. Adapun metode penelitian yang digunakan dalam
penelitian ini yaitu metode deskriptif dan verifikatif.
Populasi yang digunakan dalam penelitian ini adalah Mahasiswa dan
Mahasiswi Fakultas Ekonomi Universitas Kuningan tahun angkatan 2017 sampai
2020 yang berjumlah 2.376 orang. Sampel dalam penelitian ini dihitung dengan
menggunakan rumus Roscoe ( 10 × 6) dengan jumlah sampel minimal 60 orang.
Metode yang digunakan dalam pengambilan sampel dalam penelitian ini adalah
non probability sampling dengan teknik pengambilan sampel purposive sampling.
Sumber data dalam penelitian ini terdiri dari data primer dan data sekunder.
Data primer di dalam penelitian ini adalah data yang diperoleh langsung dari
responden melalui kuesioner. Kuesioner di dalam penelitian ini menggunakan
skala likert 1 sampai dengan 5 untuk menentukan skor pada setiap item
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pernyataannya. Adapun proses penyebaran kuesioner yang dilakukan dalam
penelitian ini, dilakukan secara tidak langsung dengan menggunakan Google
Forms untuk pengisiannya. Penelitian ini juga menggunakan data sekunder yang
bersumber dari jurnal dan artikel ilmiah yang berhubungan dengan masalah yang
diteliti.
Analisis data dalam penelitian ini meliputi beberapa tahapan dasar seperti
proses editing, proses coding, proses scoring, dan tabulasi. Kemudian agar hasil
penelitian tidak bias dan juga tidak diragukan kebenarannya maka alat ukur dari
penelitian tersebut harus valid dan reliable. Untuk itu terhadap kuesioner yang
diberikan kepada responden dilakukan 2 (dua) macam tes, yaitu tes validitas dan
tes reliabilitas. Penelitian ini juga melakukan beberapa pengujian sebelum
melakukan pengujian hipotesis meliputi uji normalitas, uji multikolinearitas, uji
heteroskedastisitas, dan uji autokorelasi. Teknik analisis data yang digunakan di
dalam penelitian ini adalah analisis regresi linier berganda yang digunakan untuk
mengetahui pengaruh sikap investasi, norma subjektif, persepsi perilaku kontrol,
literasi keuangan syariah dan motivasi investasi terhadap minat berinvestasi. Uji
hipotesis yang di gunakan dalam penelitian ini adalah uji T dan uji F. Uji T
digunakan untuk menguji pengaruh variabel bebas terhadap variabel terikat secara
parsial dengan membandingkan ttabel dan thitung. Sementara Uji F digunakan untuk
menguji besarnya pengaruh dari seluruh variabel independen secara simultan
terhadap variabel dependen.
3.2 Analisis data dan Hasil
Berdasarkan hasil kuesioner dari 106 responden, melalui daftar pertanyaan
didapat gambaran tentang responden berdasarkan pengalaman responden dalam
berinvestasi di pasar modal syariah, jenis kelamin responden, pendapatan setiap
bulannya, pengeluaran setiap bulannya, program studi responden, jenjang tahun
angkatan, dan usia responden.
a. Uji Instrumen
Dari hasil perhitungan menggunakan Program SPSS 22 dilihat dari kolom
Corrected Item Total Correlation bahwa setiap item pernyataan untuk semua
variabel independen dan variabel dependen, jika dibandingkan rhitung > rtabel
(0,1909) menunjukkan bahwa setiap item pernyataan yang diajukan kepada
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responden untuk setiap variabel semuanya dikategorikan valid. Pada bagian
Realibility Statistic di dapat nilai Cronbach’s Alpha sebesar 0,958 nilai tersebut
berada di atas nilai 0,6 maka dapat disimpulkan jika alat ukur di dalam penelitian
ini reliabel.
b. Uji Asumsi Klasik
Hasil uji normalitas dengan menggunakan program aplikasi SPSS 22 dapat
dilihat pada kolom Kolmogorov-Smirnov dan dapat diketahui bahwa nilai
signifikansi dalam penelitian ini sebesar 0,144, karena signifikansi lebih besar dari
0,05 maka dapat disimpulkan bahwa data yang digunakan telah memenuhi asumsi
normalitas atau data berdistribusi normal. Uji multikolinearitas dengan
menggunakan Variance Inflation Factors (VIF) melalui program aplikasi SPSS
22 dapat diketahui nilai VIF untuk variabel sikap investasi sebesar 3.010, norma
subjektif sebesar 2.406, persepsi perilaku kontrol sebesar 2.987, literasi keuangan
syariah sebesar 1.996, dan motivasi investasi sebesar 2.200. Nilai VIF lebih kecil
dari 5 (VIF < 5), sehingga dapat dikatakan bahwa pada model regresi tidak
ditemukan adanya masalah multikolinearitas. Uji heteroskedastisitas
menggunakan Uji Spearman’s rho melalui program aplikasi SPSS 22 dapat
diketahui korelasi antara sikap investasi, norma subjektif, persepsi kontrol
perilaku, literasi keuangan syariah, motivasi investasi dengan Unstandardized
Residual menghasilkan nilai 0.861; 0,896; 0,684; 0.234; 0,802 dan 0,958. Karena
nilai dari signifikansi korelasi > 0,05, maka dapat ditarik kesimpulan bahwa pada
model regresi tidak ditemukan adanya masalah heteroskedastisitas. Uji
autokorelasi menggunakan uji Durbin Watson (DW) melalui program aplikasi
SPSS 22 didapat nilai DW (Durbin-Watson) yang dihasilkan dari model regresi
adalah 1.928. Sedangkan dari tabel DW dengan signifikansi 0,05 dan jumlah data
(n) = 106, seta k = 5 (k adalah jumlah variabel bebas) diperoleh nilai dL sebesar
1,5861 dan dU sebesar 1,7832 sehingga dapat ditentukan nilai d (Durbin-Watson)
= 1.928 berada pada daerah antara dU dan (4-dU) maka Ho diterima yang berarti
tidak ada autokorelasi.
c. Analisis Regresi Linear Berganda
Untuk mengetahui persamaan regresi dapat dilihat pada tabel berikut:
11
Tabel Analisis Regresi Linier Berganda
Berdasarkan hasil perhitungan SPSS 22 dapat diketahui persamaan regresinya
yaitu: Y = -5,329+0,202 X1 + 0,130 X2 + 0,225 X3 - 0,103 X4 + 0,599 X5.
Keterangan:
Y
a
b1
b2
b3
b4
=Minat Berinvestasi
=Konstanta
=Koefisien regresi Sikap
=Koefisien regresi Norma
Subjektif
=Koefisien regresi Persepsi
Perilaku Kontrol
=Koefisien regresi Literasi
b5
X1
X2
X3
X4
X5
Keuangan Syariah
= Koefisien regresi motivasi
investasi
= Sikap Investasi
= Norma Subjektif
= Persepsi Perilaku Kontrol
= Literasi Keuangan Syariah
= Motivasi Investasi
Artinya: Jika konstanta sebesar -5,329; artinya jika sikap investasi, norma
subjektif, persepsi perilaku kontrol, literasi keuangan syariah, dan motivasi
investasi nilainya adalah 0, maka minat berinvestasi nilainya adalah -5,329.
Koefisien regresi variable sikap investasi sebesar 0,202; artinya jika sikap
investasi mengalami kenaikan 1% maka minat berinvestasi akan mengalami
peningkatan sebesar 0,202 dengan asumsi variabel independen lain nilainya tetap.
Koefisien regresi variable norma subjektif sebesar 0,130; artinya jika norma
subjektif mengalami kenaikan 1% maka minat berinvestasi akan mengalami
peningkatan sebesar 0,130 dengan asumsi variabel independen lain nilainya tetap.
Koefisien regresi variable persepsi perilaku kontrol sebesar 0,225; artinya jika
persepsi perilaku kontrol mengalami kenaikan 1% maka minat berinvestasi akan
mengalami peningkatan sebesar 0,225 dengan asumsi variabel independen lain
nilainya tetap. Koefisien regresi variable literasi keuangan syariah sebesar -0,103;
12
artinya jika literasi keuangan syariah mengalami kenaikan 1% maka minat
berinvestasi akan mengalami penurunan sebesar 0,103 dengan asumsi variabel
independen lain nilainya tetap. Koefisien regresi variable motivasi investasi
sebesar 0,559; artinya jika motivasi investasi mengalami kenaikan 1% maka minat
berinvestasi akan mengalami peningkatan sebesar 0,559 dengan asumsi variabel
independen lain nilainya tetap.
d. Koefisien Determinasi
Hasil perhitungan Koefisien Determinasi diperoleh menggunakan SPSS 22
terlihat bahwa rsquare (koefisien determinasi) sebesar 0,615. Hal ini berarti 61,5%
minat berinvestasi dipengaruhi oleh sikap investasi, norma subjektif, persepsi
perilaku kontrol, literasi keuangan syariah, dan motivasi investasi, sisanya 38,5%
dipengaruhi oleh faktor lain.
e. Pengujian Hipotesis
Uji T
Berdasarkan hasil perhitungan SPSS 22 diperoleh nilai thitung pada sikap
investasi, norma subjektif, persepsi perilaku kontrol, literasi keuangan syariah dan
motivasi investasi adalah 1,558; 1,259; 1,940; -1,057; 5,245. Pada derajat bebas
(df) = n-k-1 = 106-2-1 = 103 nilai ttabel pada taraf kepercayaan 95% (signifikansi
5%) adalah 1,98326. Karena thitung variabel sikap investasi, norma subjektif,
persepsi perilaku kontrol, literasi keuangan syariah < ttabel, maka H1, H2, H3, dan
H4 ditolak artinya variabel sikap investasi, norma subjektif, persepsi perilaku
kontrol, literasi keuangan syariah secara parsial tidak memiliki pengaruh yang
signifikan terhadap minat berinvestasi. Sementara thitung variabel motivasi investasi
> ttabel maka H5 diterima artinya variabel motivasi investasi secara parsial
memiliki pengaruh yang signifikan terhadap minat berinvestasi.
Uji F
Dari uji Anova atau uji F didapat Fhitung = 31,915 dengan signifikansi 0,000,
karena probabilitas < 0,05 maka persamaan regresi Y = -5,329+0,202 X1 + 0,130
X2 + 0,225 X3 - 0,103 X4 + 0,599 X5 adalah signifikan, artinya dapat dipakai
untuk memprediksi minat berinvestasi. Dengan demikian maka hipotesis yang
menyatakan sikap investasi, norma subjektif, persepsi perilaku kontrol, literasi
13
keuangan syariah dan motivasi investasi secara bersama-sama berpengaruh
terhadap minat berinvestasi
Pembahasan Hipotesis
Pengaruh Sikap Investor Terhadap Minat Berinvestasi di Pasar Modal
Syariah.
Dari 106 responden yang mempersepsikan mengenai sikap investor pada
Mahasiswa dan Mahasiswi Fakultas Ekonomi Universitas Kuningan menunjukkan
bahwa secara parsial variabel sikap investor tidak berpengaruh positif terhadap
minat berinvestasi Mahasiswa dan Mahasiswi Fakultas Ekonomi Universitas
Kuningan. Hal tersebut berdasarkan hasih uji t, dimana variabel Sikap (X1)
memiliki nilai thitung sebesar 1,558 yang lebih kecil dari nilai ttabel yang memiliki
nilai sebesar 1,98326. Hasil penelitian ini mendukung penelitian yang dilakukan
oleh Salisa (2020).
Pengaruh Norma Subjektif Terhadap Minat Berinvestasi di Pasar Modal
Syariah.
Dari 106 responden yang mempersepsikan mengenai norma subjektif pada
Mahasiswa dan Mahasiswi Fakultas Ekonomi Universitas Kuningan menunjukkan
bahwa variabel norma subjektif tidak berpengaruh positif terhadap minat
berinvestasi Mahasiswa dan Mahasiswi Fakultas Ekonomi Universitas Kuningan.
Hal tersebut berdasarkan hasih uji t, dimana variabel Norma Subjektif (X2)
memiliki nilai thitung sebesar 1,259 yang lebih kecil dari nilai ttabel yang memiliki
nilai sebesar 1,98326. Hasil penelitian ini mendukung penelitian yang dilakukan
oleh Luky, 2016; Pangestika & Rusliati, 2019; Rahmawati & Maslichah, 2018;
Salisa, 2020.
Pengaruh Persepsi Kontrol Perilaku Terhadap Minat Berinvestasi di Pasar
Modal Syariah.
Dari 106 responden yang mempersepsikan mengenai persepsi kontrol
perilaku pada Mahasiswa dan Mahasiswi Fakultas Ekonomi Universitas Kuningan
menunjukkan bahwa variabel persepsi kontrol perilaku tidak berpengaruh positif
terhadap minat berinvestasi Mahasiswa dan Mahasiswi Fakultas Ekonomi
Universitas Kuningan. Hal tersebut berdasarkan hasih uji t, dimana variabel
Persepsi Kontrol Perilaku (X3) memiliki nilai thitung sebesar 1,940 yang lebih kecil
14
dari nilai ttabel yang memiliki nilai sebesar 1,98326. Hasil penelitian ini
mendukung penelitian yang dilakukan oleh Luky, 2016; Pangestika & Rusliati,
2019; Pranyoto & Siregar, 2015.
Pengaruh Literasi Keuangan Syariah Terhadap Minat Berinvestasi di Pasar
Modal Syariah.
Dari 106 responden yang mempersepsikan mengenai literasi keuangan
syariah pada Mahasiswa dan Mahasiswi Fakultas Ekonomi Universitas Kuningan
menunjukkan bahwa variabel literasi keuangan syariah tidak berpengaruh positif
terhadap minat berinvestasi mahasiswa dan mahasiswi Fakultas Ekonomi
Universitas Kuningan. Hal tersebut berdasarkan hasih uji t, dimana variabel
Literasi Keuangan Syariah (X4) memiliki nilai thitung sebesar –1,057 yang lebih
kecil dari nilai ttabel yang memiliki nilai sebesar 1,98326. Hasil penelitian ini
mendukung penelitian yang dilakukan oleh Taufiqoh, Diana, & Junaidi (2019)
dan penelitian Arianti (2018).
Pengaruh Motivasi Investasi Terhadap Minat Berinvestasi di Pasar Modal
Syariah.
Dari 106 responden yang mempersepsikan mengenai motivasi investasi
pada Mahasiswa dan Mahasiswi Fakultas Ekonomi Universitas Kuningan
menunjukkan bahwa variabel motivasi investasi berpengaruh positif terhadap
minat berinvestasi Mahasiswa dan Mahasiswi Fakultas Ekonomi Universitas
Kuningan. Hal tersebut berdasarkan hasih uji t, dimana variabel Motivasi
Investasi (X5) memiliki nilai thitung sebesar 5,245 yang lebih besar dari nilai ttabel
yang memiliki nilai sebesar 1,98326. Hasil penelitian ini searah dengan hasil
penelitian yang dilakukan oleh Darmawan, Kurnia, & Rejeki, 2019; Hikmah &
Rustam, 2020; Putri & Simanjuntak, 2020; Taufiqoh, Diana & Junaidi, 2019;
Saraswati & Wirakusuma, 2018; Lubis, 2019; Cahya & Kusuma W, 2019;
Amhalmad & Irianto, 2019; Situmorang, Andreas & Natariasari, 2014; Shofwa ,
2017; Wi & Anggraeni, 2020.
4. Implikasi, Simpulan, dan Keterbatasan Penelitian
4.1 Implikasi Teoritis dan Praktis
Adapun implikasi teoritis dan praktisi dari penelitian ini adalah sebagai berikut:
15
1 Penelitian ini memberikan pengetahuan dalam bidang pasar modal syariah
mengenai pengaruh sikap investor, norma subjektif, persepsi kontrol perilaku,
literasi keuangan syariah dan motivasi investasi tehadap minat berinvestasi di
pasar modal syariah. Penelitian ini dapat dijadikan sebagai sumber acuan
baagi peneliti lain sebagai referensi untuk kegiatan penelitian mendatang
mengenai faktor-faktor yang mempengaruhi minat berinvestasi di pasar
modal syariah.
2 Penelitian ini diharapkan dapat memberikan pengetahuan sebagai bahan
pertimbangan mengenai minat berinvestasi di pasar modal syariah.
4.2 Kesimpulan
Berdasarkan hasil penelitian yang dilakukan oleh penulis, maka dapat ditarik
kesimpulannya yaitu bahwa:
1. Secara parsial sikap investasi (X1), norma subjektif (X2), persepsi kontrol
perilaku (X3), dan literasi keuangan syariah (X4) tidak berpengaruh positif
terhadap minat berinvestasi di pasar modal syariah. Sementara secara parsial
motivasi investasi (X5) berpengaruh positif terhadap minat berinvestasi di
pasar modal syariah.
2. Secara simultan sikap investasi, norma subjektif, persepsi kontrol perilaku,
literasi keuangan syariah dan motivasi investasi berpengaruh positif terhadap
minat berinvestasi di pasar modal syariah.
4.3 Keterbatasan Penelitian
Berdasarkan penelitian yang dilakukan oleh penulis, ada beberapa hal yang
menjadi keterbatasan dari penulis, diantaranya yaitu :
1. Jumlah responden dalam penelitian ini hanya 106 orang, hal ini tentunya
masih kurang untuk mendapatkan hasil penelitian yang lebih akurat.
2. Objek dari penelitian ini masih terfokus pada Mahasiswa Fakultas Ekonomi
Universitas Kuningan saja. Sehingga sampel yang didapat juga belum cukup
banyak untuk bisa menggambarkan keadaan yang sesungguhnya.
3. Dalam proses pengambilan data melalui kuesioner responden terkadang tidak
memberikan jawaban atas pendapat yang sesungguhnya. Karena adanya
perbedaan pandangan, pemikiran dan pemahaman dari para responden.
16
5. Daftar Pustaka
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Motivasi Investasi, Literasi Keuangan Dan Lingkungan Keluarga
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Akuntansi dan Keuangan 8(2): 44–56.
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Indonesia. Retrieved February 8, 2021, from Databoks.katadata.co.id:
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2020-penduduk-indonesia-didominasi-gen-z-dan-milenial
17
Deviyanti, Luh Putu Ayu Eka, I Gusti Ayu Purnamawati, and I Nyoman Putra
Yasa. 2017. “Pengaruh Norma Subjektif, Persepsi Return Dan Literasi
Keuangan Terhadap Minat Mahasiswa Untuk Berinvestasi Saham Di Pasar
Modal (Studi Pada Mahasiswa Jurusan Akuntansi Program S1 Universitas
Pendidikan Ganesha).” e-Journal S1 Ak Universitas Pendidikan Ganesha
8(2): 1–12.
Hati, Shinta Wahyu, and Windy Septiani Harefa. 2019. “Analisis Faktor-Faktor
Yang Mempengaruhi Minat Berivestasi Di Pasar Modal Bagi Generasi
Milenial (Studi Pada Mahasiswi Jurusan Manajemen Bisnis Di Politeknik
Negeri Batam).” Business Administration 3(2): 281–95.
IBTIMES. (2020, April 4). Data Populasi Penduduk Muslim 2020: Indonesia
Terbesar di Dunia. See - https://ibtimes.id/data-populasi-penduduk-muslim-
2020-indonesia-terbesar-di-dunia/. Retrieved February 8, 2021, from
ibtimes.id: https://ibtimes.id/data-populasi-penduduk-muslim-2020-
indonesia-terbesar-di-dunia/
Hikmah, and Triana Ananda Rustam. 2020. “P Engetahuan Investasi, Motivasi
Investasi, Literasi Keuangan Dan Persepsi Resiko Pengaruhnya Terhadap
Minat Investasi Pada Pasar Modal.” SULTANIST: Jurnal Manajemen dan
Keuangan 8(2): 131–40.
Junianto, Dwi, and Dkk. 2020. “Persepsi Mahasiswa Muslim Terhadap Investasi
Produk Syariah Di Pasar Modal Dalam Kajian Theory Planned Behaviour.”
Jurnal Shidqia Nusantara 1(1): 51–60.
KUMPARAN. (2020, Desember 7). Investor Pasar Modal Syariah Tembus
81.000, Naik 6 Kali Lipat dalam 4 Tahun. Retrieved Februari 7, 2021, from
KUMPARANBISNIS: https://kumparan.com/kumparanbisnis/investor-
pasar-modal-syariah-tembus-81-000-naik-6-kali-lipat-dalam-4-tahun-
1ujbDOqzUdI/full
Listyarti, Indra. 2019. “Pengambilan Keputusan Investasi Investor Di Pasar Modal
Indonesia Ditinjau Dari Teori Reasoned Action.” Journal of Business &
Banking 7(2): 237–50.
Lubis, Putri Kemala Dewi. 2019. “Influence of Knowledge Investment and
Investment Motivation Against the Interest of Investing in the Stock Market
18
on Economic Education Status of Students of State University of Medan.”
Journal of Physics: Conference Series 1387(1).
Luky, M. R. 2016. "Minat Berinvestasi Di Pasar Modal: Aplikasi Theory Planned
Behaviourserta Persepsi Berinvestasi Di Kalangan Mahasiswa". Jurnal
Ilmiah Mahasiswa FEB UNIVERSITAS BRAWIJAYA, 1-13.
Njuguna, Peter Kamau, Gregory s. Namusonge, and Christopher Kanali. 2016.
“Determinant of Investment Intention: An Induvidual Retail Investor’s
Perspective From Nairobi Securities Exchange.” International Journal of
Arts and Commerce 6: 120–32.
https://www.ijac.org.uk/images/frontImages/gallery/Vol._5_No._6/11._120-
132.PDF.
Nurafiati, Nita. 2019. "Perkembangan Pasar Modal Syariah Dan Kontribusinya
Terhadap Pertumbuhan Ekonomi Di Indonesia" Jurnal Inklsif: Jurnal
Pengkajian Penelitian Ekonomi Dan HukumIslam 4(1):65-75
Pangestika, Tri, and Ellen Rusliati. 2019. “Literasi Dan Efikasi Keuangan
Terhadap Minat Mahasiswa Berinvestasi Di Pasar Modal.” Jurnal Riset
Bisnis dan Manajemen 12(1): 37.
Pranyoto, Edi, and Nolita Yeni Siregar. 2015. “Literasi Ekonomi, Hubungan
Pertemanan, Sikap, Norma Dan Kontrol Diri Terhadap Minat Masyarakat
Lampung Untuk Berinvestasi Di Pasar Modal.” Jurnal Manajemen Dan
Bisnis 5(2): 196–216.
Putri, Pranadya Tania, and Megawati Simanjuntak. 2020. “The Role of
Motivation, Locus of Control and Financial Literacy on Women Investment
Decisions Across Generations.” Journal of Consumer Sciences 5(2): 102–
23.
Rahmawati, Nonik, and Maslichah. 2018. “Minat Berinvestasi Di Pasar Modal:
Aplikasi Theory Planned Behaviour Serta Persepsi Berinvestasi Di
Kalangan Mahasiswa.” Jurnal Ilmiah Riset Akuntansi 07(1): 41–54.
REPUBLIKA. (2019, DESEMBER 10). OJK Tegaskan Inklusi Keuangan Syariah
tidak Berkurang. Retrieved Agustus 10, 2020, from REPUBLIKA.CO.ID:
https://republika.co.id/berita/q2a9gr370/ojk-tegaskan-inklusi-keuangan-
syariah-tidak-berkurang
19
Salisa, Naila Rizki. 2021. “Faktor Yang Mempengaruhi Minat Investasi Di Pasar
Modal: Pendekatan Theory of Planned Behaviour (TPB).” Jurnal Akuntansi
Indonesia 9(2): 182.
Saraswati, Ketut Riandita Anjar, and Made Gede Wirakusuma. 2018.
“Pemahaman Atas Investasi Memoderasi Pengaruh Motivasi Dan Risiko
Investasi Pada Minat Berinvestasi.” E-Jurnal Akuntansi 24: 1584.
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Behavior Untuk Memprediksi Niat Berinvestasi.” E-Jurnal Ekonomi dan
Bisnis Universitas Udayana 12: 4043.
Septyanto, Dihin. 2013. “Faktor-Faktor Yang Mempengaruhi Investor Individu
Dalam Pengambilan Keputusan Investasi Sekuritas Di Bursa Efek Indonesia
(BEI).” Jurnal Ekonomi 4(2): 90–101.
Shofwa, Yoiz. 2017. “Terhadap Minat Berinvestasi Di Pasar Modal ( Studi Kasus
Mahasiswa Universitas Muhamadiyah Purwokerto )” Jpa 18: 290–301.
Taufiqoh, Ernia, Diana Nur, and Junaidi. 2019. “Pengaruh Norma Subjektif,
Motivasi Investasi, Pengetahuan Investasi, Persepsi Return Dan Literasi
Keuangan Terhadap Minat Mahasiswa Berinvestasi Saham Di Pasar
Modal.” E-Jra 08(05): 1–13.
Wi, Peng, and Dian Anggraeni. 2020. “Faktor-Faktor Yang Mempengaruhi Minat
Karyawan Perusahaan Untuk Berinvestasi Di Pasar Modal Pada Masa
Pandemi COVID 19.” Revenue 01(01): 81–89.
Lampiran-Lampiran
KUESINOER MINAT GENERASI MILENIAL DAN GENERASI Z
BERINVESTASI DI PASAR MODAL SYARIAH : PENGEMBANGAN
MODEL TPB
Assalamualaikum warahmatullahi wabarakatuh, Selamat pagi/siang/sore/malam.
Saya Nurfania Sukma dan kedua rekan saya Ali Asidik dan Nurul Hafifah
mahasiswa Program Studi Akuntansi Fakultas Ekonomi Universitas Kuningan.
Sedang melakukan penelitian yang berjudul “MINAT GENERASI MILENIAL
DAN GENERASI Z BERINVESTASI DI PASAR MODAL SYARIAH :
PENGEMBANGAN MODEL TPB”.
Oleh karena itu, Saudara/Saudari dimohon untuk mengisi kuesioner ini secara
lengkap dan benar. Semua informasi yang diterima sebagai hasil kuesioner ini
bersifat rahasia. Atas perhatian Saudara/Saudari, kami mengucapkan terima kasih.
Demografi Responden
Nama:
Jenis Kelamin:
1. Perempuan
2. Laki-Laki
Usia:
1. 17-20 tahun
2. 21-24 tahun
3. 25-28 tahun
4. >28 tahun
Alamat tempat tinggal:
Program studi:
1. Akuntansi
2. Manajemen
Tahun angkatan:
1. 2020
2. 2019
3. 2018
4. 2017
Pendapatan dalam satu bulan:
1. < Rp. 1.000.000
2
2. Rp. 1.000.000 – Rp. 2.000.000
3. Rp. 2.000.000 – Rp. 3.000.000
4. > Rp. 3.000.000
Pengeluaran dalam satu bulan:
1. < Rp. 1.000.000
2. Rp. 1.000.000 – Rp. 2.000.000
3. Rp. 2.000.000 – Rp. 3.000.000
4. > Rp. 3.000.000
Apakah anda sudah mulai berinvestasi di Pasar Modal Syariah ataupun
Konvensional?
1. Sudah
2. Belum
NO PERNYATAAN SS S N TS ST
S
Sikap Investasi
1. Menurut saya berinvestasi di pasar
modal syariah merupakan salah satu ide
yang bagus.
2. Menurut saya berinvestasi di pasar
modal syariah merupakan pilihan yang
bijak untuk mengembangkan kekayaan
dengan prinsip prinsip syariah.
3. Menurut saya berinvestasi di pasar
modal syariah lebih menguntungkan
dibandingkan berinvestasi di instrumen
lain.
4. Menurut saya pengalaman berinvestasi
di pasar modal syariah menjadi sebuah
pembelajaran agar saya dapat
berinvestasi dengan lebih baik.
5 Menurut saya berinvestasi di pasar
modal syariah menyenangkan.
6. Menurut saya cara untuk berinvestasi di
pasar modal syariah cukup praktis
7. Menurut saya keuntungan berinvestasi
di pasar modal syariah tidak dapat di
prediksi
8. Menurut saya berinvestasi di pasar
modal syariah, dapat menjadi tunjangan
untuk hari tua saya.
Norma Subjektif
1. Orang tua saya lebih mengutamakan
3
berinvestasi di pasar modal syariah,
ketika memiliki kelebihan uang.
2. Teman saya mengajak saya untuk
berinvestasi di pasar modal syariah.
3. Dosen saya memberikan saran kepada
saya untuk berinvestasi di pasar modal
syariah.
4. Beberapa tokoh investor yang sukses,
berhasil memotivasi saya untuk
berinvestasi di pasar modal syariah.
5. Media informasi, seperti media sosial
menjadi salah satu faktor pendorong
saya untuk berinvestasi di pasar modal
syariah.
6. Saudara saya berinvestasi di pasar modal
syaraiah.
7. Lingkungan pendidikan saya mendorong
saya untuk berinvestasi di pasar modal
syariah.
8. Keberadaan Galeri Investasi Bursa Efek
Indonesia Fakultas Ekonomi Universitas
Kuningan menjadi salah satu faktor
pendorong saya untuk berinvestasi di
pasar modal syariah.
Persepsi Kontrol Perilaku
1. Saya merasa mendapatkan kemudahan
dalam berinvestasi di pasar modal
syariah.
2. Saya merasa dengan modal yang saya
miliki saat ini, mendukung saya untuk
berinvestasi di pasar modal syariah.
3. Saya memiliki pengetahuan yang cukup
untuk dapat berinvestasi di pasar modal
syariah.
4. Saya memiliki waktu untuk belajar dan
berinvestasi di pasar modal syariah.
5. Saya dapat mengendalikan seluruh aset
yang saya investasikan di pasar modal
syariah.
6. Saya dapat mengambil keputusan yang
tepat ketika berinvestasi di pasar modal
syariah.
7. Saya dapat mengantisipasi kerugian
ketika berinvestasi di pasar modal
syariah.
8. Saya merasa teknologi yang saya miliki
saat ini dapat mempermudah saya untuk
mengakses informasi yang saya
4
inginkan seputar investasi di pasar
modal syariah
Literasi Keuangan Syariah
1. Saya paham tentang keuangan syariah
secara umum.
2. Saya selalu merencanakan keuangan
masa depan dengan baik dan sesuai
dengan prinsip syariah.
3. Saya selalu membaca dan memahami
lembar perjanjian tabungan, sewa atau
hutang sebelum menandatanganinya.
4. Saya memiliki dana untuk keperluan
darurat.
5. Saya mengetahui pasar modal syariah
hanya berinvestasi pada lembaga yang
sesuai dengan prinsip syariah.
6. Saya mengetahui pasar modal syariah
dilakukan dengan amanah.
7. Saham syariah, sukuk, reksa dana
syariah merupakan produk investasi di
pasar modal syariah.
8. Saya mengetahui pasar modal syariah
berdasarkan buku ataupun artikel yang
saya baca.
Motivasi Investasi
1. Ketika saya berinvestasi di pasar modal
syariah dengan menggunakan instrumen
saham syariah berarti saya memiliki
status kepemilikan perusahaan di
perusaahan tersebut.
2. Berinvestasi di pasar modal syariah
berarti saya memberikan bantuan kepada
perusahaan tersebut untuk berkembang.
3. Saya berinvestasi di pasar modal syariah
karena saran dari orang terdekat saya
yang menjadi investor di pasar modal
syariah.
4. Investasi merupakan salah satu
kebutuhan saya.
5. Saya berinvestasi di pasar modal syariah
ketika kebutuhan substansial saya sudah
terpenuhi.
6. Saya berinvestasi di pasar modal syariah dengan tujuan untuk mengelola aset
yang saya miliki.
7. Saya merasa dengan berinvestasi di
pasar modal syariah saya memperoleh
dua sisi kebaikan, baik di sisi dunia
5
maupun akhirat.
Minat Berinvestasi
1. Saya berminat berinvestasi di pasar
modal syariah karena mengetahui
informasi positif mengenai berinvestasi
di pasar modal syariah.
2. Saya berminat berinvestasi di pasar
modal syariah karena mengetahui
prospeknya yang menarik dan
menjanjikan.
3. Saya berminat berinvestasi di pasar
modal syariah berawal dari rasa
penasaran dan berusaha untuk mencari
tahu.
4. Saya berminat berinvestasi di pasar
modal syariah karena banyak manfaat
yang membuat saya tertarik untuk
berinvastasi.
5. Saya menyukai instrumen investasi di
pasar modal syariah. Seperti saham
syariah, sukuk, ataupun reksadana
syariah.
6. Saya merasa berinvestasi di pasar modal
syariah lebih terjamin dan aman,
sehingga saya tidak mencemaskan dana
yang saya investasikan di pasar modal
syariah.
7. Berinvestasi di pasar modal syariah
merupakan salah satu rencana keuangan
saya.
6
Lampiran Data Hasil Penyebaran Angket
Variabel X1 (Sikap Berinvestasi)
No SI1 SI2 SI3 SI4 SI5 SI6 SI7 SI8 Jumlah
1 4 4 4 4 5 3 4 5 33
2 4 4 3 4 3 3 3 3 27
3 3 4 3 3 3 3 3 3 25
4 4 4 4 4 3 3 3 4 29
5 4 3 4 5 4 4 3 4 31
6 4 4 4 4 4 4 4 4 32
7 3 3 3 3 3 3 3 3 24
8 4 4 3 4 3 3 3 4 28
9 4 4 3 3 3 4 4 4 29
10 4 4 4 4 4 4 2 4 30
11 5 4 3 4 5 4 3 5 33
12 3 3 3 4 3 3 3 3 25
13 4 4 2 4 4 3 5 3 29
14 4 5 4 5 4 4 3 4 33
15 3 4 3 3 3 3 3 3 25
16 4 5 4 3 5 4 5 4 34
17 1 4 4 4 4 4 4 4 29
18 4 4 4 4 4 4 4 4 32
19 4 4 3 3 3 3 3 4 27
20 4 5 4 4 3 3 3 4 30
21 4 5 3 3 3 4 3 4 29
22 4 4 4 4 3 4 3 3 29
23 3 4 3 4 3 3 3 4 27
24 3 4 3 3 3 3 3 4 26
25 4 4 3 3 3 3 3 4 27
26 4 4 4 4 3 4 3 3 29
27 5 5 4 3 3 4 3 4 31
28 4 4 3 3 3 3 3 3 26
29 4 4 3 5 3 4 3 4 30
30 4 3 3 4 3 3 3 4 27
31 3 4 3 5 3 3 3 3 27
32 4 4 4 4 4 4 4 3 31
33 5 5 5 5 3 3 3 5 34
34 4 4 3 4 4 4 3 4 30
35 4 4 3 4 4 4 4 5 32
36 4 4 4 4 4 4 4 4 32
37 4 4 3 3 3 4 3 4 28
38 3 4 4 4 4 4 3 4 30
39 4 4 4 5 4 4 4 4 33
40 5 4 4 4 4 4 4 4 33
7
41 5 5 4 4 4 4 4 4 34
42 4 4 4 4 4 4 4 4 32
43 4 5 3 4 4 4 3 4 31
44 4 4 4 3 4 3 4 3 29
45 5 4 4 5 4 4 5 4 35
46 3 4 3 4 4 3 4 3 28
47 4 3 3 4 4 3 3 5 29
48 3 3 3 3 3 3 3 3 24
49 4 4 3 4 3 4 3 4 29
50 4 4 3 3 3 3 3 3 26
51 4 4 4 4 4 4 4 4 32
52 4 4 4 4 3 3 3 3 28
53 5 4 2 3 3 3 4 5 29
54 3 3 3 3 3 3 3 3 24
55 4 4 3 3 3 3 3 4 27
56 5 4 3 4 4 4 4 5 33
57 4 4 3 4 4 3 4 4 30
58 4 3 3 4 3 3 3 4 27
59 4 4 4 4 4 4 4 4 32
60 4 5 3 4 3 4 3 5 31
61 4 3 3 4 3 4 4 4 29
62 3 4 3 4 3 3 4 4 28
63 4 4 3 3 3 3 4 3 27
64 5 5 3 5 4 5 5 4 36
65 4 5 3 4 3 3 3 4 29
66 4 4 3 4 4 3 4 3 29
67 4 4 4 4 3 4 3 5 31
68 4 3 3 4 3 4 4 4 29
69 5 5 4 4 4 3 4 5 34
70 4 5 4 4 4 4 4 4 33
71 5 5 5 5 5 4 3 5 37
72 5 5 4 4 5 4 5 5 37
73 4 4 3 5 4 4 4 5 33
74 5 4 3 3 4 3 3 4 29
75 4 4 3 5 3 3 3 4 29
76 4 4 3 4 4 3 3 4 29
77 4 4 4 4 4 4 4 4 32
78 3 3 4 4 3 3 4 3 27
79 5 5 4 4 4 4 3 4 33
80 5 5 4 3 3 4 2 5 31
81 5 5 4 4 3 4 4 4 33
82 4 4 3 4 3 3 3 3 27
83 4 5 3 3 4 3 3 4 29
84 5 5 3 5 5 5 5 4 37
8
85 4 4 4 4 4 4 4 4 32
86 3 3 3 3 3 3 3 3 24
87 4 4 4 4 4 5 3 4 32
88 5 4 3 4 3 3 3 4 29
89 3 4 3 3 3 4 4 5 29
90 3 3 3 3 3 3 3 3 24
91 5 5 4 4 4 4 3 5 34
92 4 4 4 4 4 4 4 4 32
93 4 4 4 4 4 4 3 5 32
94 4 4 3 4 3 3 3 4 28
95 4 4 3 5 4 4 3 4 31
96 4 4 3 5 3 3 3 4 29
97 4 4 4 4 3 3 3 3 28
98 2 2 2 2 2 2 2 2 16
99 3 5 4 5 3 3 3 4 30
100 4 4 4 4 5 4 4 5 34
101 5 5 3 3 3 3 3 3 28
102 3 4 3 4 3 3 3 4 27
103 4 4 3 3 3 3 3 4 27
104 4 4 3 3 4 4 3 4 29
105 4 4 3 3 3 3 5 5 30
106 4 4 4 4 4 4 4 4 32
Jumlah 421 432 362 408 374 374 364 416 3151
9
Lampiran Data Hasil Penyebaran Angket
Variabel X2 (Norma Subjektif)
No.
LKS
1
LKS
2
LKS
3
LKS
4
LKS
5
LKS
6
LKS
7
LKS
8
Jumla
h
1 5 5 5 5 5 5 5 5 40
2 2 4 5 4 3 3 3 3 27
3 2 3 2 2 4 3 3 3 22
4 3 4 3 4 3 4 3 3 27
5 3 5 3 4 4 5 4 3 31
6 4 4 4 4 4 4 4 4 32
7 3 3 3 4 3 3 3 3 25
8 4 3 4 3 3 4 4 3 28
9 3 4 5 5 3 3 4 4 31
10 4 4 4 4 4 4 4 4 32
11 3 5 4 4 4 4 4 4 32
12 3 3 3 4 3 3 3 3 25
13 4 4 4 5 5 5 4 3 34
14 3 3 4 3 4 4 4 4 29
15 3 3 3 3 3 3 3 3 24
16 5 5 5 4 5 4 5 5 38
17 3 3 4 4 4 4 4 3 29
18 4 4 4 4 4 4 4 4 32
19 3 3 4 4 3 4 3 4 28
20 3 5 5 5 4 4 4 3 33
21 3 4 4 3 4 4 4 4 30
22 3 3 4 4 3 4 3 4 28
23 3 4 3 3 4 4 4 4 29
24 4 4 4 4 3 3 3 3 28
25 3 4 4 4 5 4 4 4 32
26 3 3 4 3 2 3 3 3 24
27 4 4 3 3 4 5 4 4 31
28 3 4 4 4 3 3 4 4 29
29 2 3 4 4 4 4 4 2 27
30 4 3 5 2 3 5 3 4 29
31 2 5 3 2 3 3 3 3 24
32 3 3 3 3 3 3 3 3 24
33 3 4 5 4 5 5 5 5 36
34 3 4 4 4 4 4 4 4 31
35 1 4 4 2 2 4 4 1 22
36 4 4 3 4 4 4 4 4 31
37 4 3 5 4 4 4 5 4 33
38 4 4 4 4 4 4 4 4 32
39 4 4 4 4 4 4 4 4 32
40 4 4 4 4 4 4 4 4 32
41 4 4 4 4 3 4 3 3 29
10
42 3 4 4 4 4 4 4 4 31
43 3 3 3 3 4 4 4 4 28
44 3 4 4 3 4 4 5 5 32
45 4 4 4 2 5 4 4 4 31
46 3 4 5 4 5 4 5 5 35
47 4 3 4 3 2 5 4 3 28
48 3 3 3 3 3 3 3 3 24
49 3 4 4 4 4 4 4 4 31
50 3 3 3 3 3 3 3 3 24
51 4 4 4 4 4 4 4 4 32
52 3 5 3 4 3 3 3 3 27
53 3 3 3 3 3 5 3 5 28
54 3 3 3 3 3 3 3 3 24
55 3 3 3 3 3 3 3 3 24
56 4 3 5 5 4 5 5 5 36
57 4 4 4 4 4 4 3 4 31
58 2 3 4 3 4 4 4 4 28
59 3 4 3 4 4 4 4 3 29
60 4 4 4 3 4 4 4 4 31
61 4 4 4 4 4 4 4 4 32
62 4 3 4 4 4 4 4 4 31
63 3 3 3 4 3 4 3 3 26
64 3 5 4 4 3 2 3 4 28
65 4 4 4 3 5 5 4 5 34
66 3 4 4 4 4 4 4 4 31
67 3 3 4 3 4 3 4 3 27
68 3 4 4 4 4 4 4 4 31
69 3 3 3 4 3 4 5 4 29
70 4 4 4 3 4 4 4 4 31
71 3 4 3 4 4 5 4 4 31
72 5 4 4 4 4 5 5 4 35
73 4 4 4 4 4 4 3 4 31
74 4 4 4 3 4 4 5 4 32
75 3 3 4 4 3 4 4 3 28
76 3 3 3 4 4 4 4 4 29
77 4 4 4 4 4 4 4 4 32
78 3 3 4 4 4 5 3 3 29
79 4 4 5 5 4 5 4 4 35
80 3 3 4 4 4 4 4 4 30
81 3 4 3 3 3 4 4 4 28
82 3 3 3 3 4 4 4 3 27
83 3 3 3 3 3 4 4 4 27
84 4 4 3 4 5 5 5 5 35
85 3 4 3 3 3 4 3 3 26
86 3 3 3 3 3 3 3 3 24
87 4 4 5 4 3 3 4 5 32
11
88 3 3 3 4 3 4 4 3 27
89 3 4 2 2 5 5 5 4 30
90 2 3 4 4 2 1 1 3 20
91 4 5 5 3 4 4 5 4 34
92 3 3 3 3 3 3 3 3 24
93 3 3 3 3 3 3 3 3 24
94 3 3 3 3 4 4 4 3 27
95 4 5 5 5 3 5 5 4 36
96 3 3 4 3 4 4 4 3 28
97 3 3 3 3 4 3 3 3 25
98 2 2 2 2 2 2 2 2 16
99 5 4 3 4 4 5 4 4 33
100 4 5 4 4 3 4 4 5 33
101 4 5 4 3 5 3 5 4 33
102 3 4 4 4 3 4 4 3 29
103 3 3 4 4 4 4 4 4 30
104 4 4 3 2 3 3 3 3 25
105 2 3 4 5 4 4 4 4 30
106 4 3 4 4 4 4 4 4 31
Jumla
h 352 390 397 382 388 411 403 389 3112
12
Lampiran Data Hasil Penyebaran Angket
Variabel X3 (Persepsi Kontrol Perilaku)
No.
PKP
1
PKP
2
PKP
3
PKP
4
PKP
5
PKP
6
PKP
7
PKP
8
Jumla
h
1 3 4 4 4 3 1 5 5 29
2 3 2 2 2 3 3 3 3 21
3 3 3 1 2 3 3 3 3 21
4 3 4 3 3 3 3 4 4 27
5 3 3 3 3 4 4 4 3 27
6 4 4 4 4 4 4 4 4 32
7 3 3 3 3 3 3 3 3 24
8 3 3 3 4 3 3 3 4 26
9 4 4 3 4 4 4 4 4 31
10 4 4 3 4 4 4 4 4 31
11 4 5 4 4 3 4 4 4 32
12 3 3 3 5 3 3 3 3 26
13 3 4 3 4 3 3 2 5 27
14 3 3 3 4 3 3 3 4 26
15 3 3 3 3 3 3 3 3 24
16 4 5 5 5 5 5 5 4 38
17 4 4 4 4 4 4 4 4 32
18 4 4 4 4 4 4 4 4 32
19 3 3 3 3 3 3 3 3 24
20 3 5 3 3 3 3 3 5 28
21 3 3 3 4 3 3 3 4 26
22 3 3 3 3 3 3 3 4 25
23 3 3 4 3 3 3 3 3 25
24 3 3 3 3 3 3 3 3 24
25 4 3 3 4 3 3 3 4 27
26 3 3 3 3 3 3 3 3 24
27 3 3 4 4 3 3 3 4 27
28 3 3 3 3 3 3 3 4 25
29 3 4 3 4 3 3 3 4 27
30 3 3 2 4 3 3 3 5 26
31 3 3 4 4 4 3 4 4 29
32 4 4 4 3 3 3 3 3 27
33 5 5 2 5 2 3 3 5 30
34 4 4 4 4 4 4 4 4 32
35 4 2 3 4 1 3 3 4 24
36 4 4 4 4 4 4 4 4 32
37 3 4 4 3 2 3 3 5 27
13
38 3 4 3 4 3 3 3 4 27
39 3 3 3 3 3 4 3 4 26
40 4 4 4 4 4 4 4 4 32
41 4 3 3 4 4 4 4 5 31
42 4 4 4 4 4 4 3 4 31
43 4 3 3 4 4 3 3 4 28
44 4 3 3 4 3 3 3 3 26
45 4 4 2 4 2 2 2 4 24
46 3 4 2 4 3 3 3 4 26
47 4 4 3 3 3 4 4 5 30
48 3 3 3 3 3 3 3 3 24
49 4 4 3 3 3 4 4 3 28
50 4 4 3 4 3 3 3 3 27
51 4 4 4 4 4 4 4 4 32
52 3 3 3 3 3 3 3 3 24
53 3 3 3 3 3 4 3 4 26
54 2 2 2 3 2 3 3 3 20
55 3 3 3 4 3 3 3 3 25
56 4 3 4 5 4 4 3 5 32
57 3 3 2 3 3 3 3 4 24
58 3 2 3 4 2 4 4 4 26
59 4 4 3 4 4 3 3 4 29
60 3 4 3 4 3 3 4 5 29
61 4 4 4 4 4 4 4 4 32
62 3 2 3 4 3 4 4 4 27
63 3 3 3 3 3 3 3 3 24
64 4 3 4 4 4 4 4 4 31
65 3 3 3 5 3 4 4 5 30
66 4 4 4 4 4 4 4 4 32
67 4 4 4 4 4 3 4 3 30
68 3 3 3 4 3 3 3 4 26
69 4 4 3 4 3 3 3 5 29
70 4 5 4 4 4 4 3 4 32
71 4 4 4 4 4 4 4 4 32
72 4 5 5 5 4 4 4 5 36
73 3 3 3 4 3 3 3 3 25
74 2 3 3 4 3 5 5 5 30
75 4 4 3 4 3 4 3 3 28
76 3 3 3 3 4 4 3 4 27
77 4 4 4 4 4 4 4 4 32
78 4 4 4 4 4 3 3 3 29
79 4 4 3 5 4 4 5 5 34
80 4 4 4 4 4 4 4 4 32
14
81 3 4 4 4 4 4 4 4 31
82 3 3 3 4 3 3 3 4 26
83 3 3 3 3 3 3 3 3 24
84 5 5 5 5 4 5 5 5 39
85 4 4 4 4 4 4 4 4 32
86 3 3 3 3 3 3 3 3 24
87 4 3 3 4 3 4 3 4 28
88 3 3 3 3 3 3 3 4 25
89 3 3 2 3 3 2 3 4 23
90 2 3 1 3 2 2 3 4 20
91 4 4 4 4 4 4 4 4 32
92 3 3 3 4 3 3 3 4 26
93 4 4 4 4 4 4 4 3 31
94 4 3 3 4 4 3 3 4 28
95 3 4 3 4 3 3 3 4 27
96 3 3 3 4 3 3 4 4 27
97 4 4 4 3 3 4 4 3 29
98 2 2 2 2 2 2 2 2 16
99 3 3 3 3 3 3 4 5 27
100 4 4 4 4 4 4 4 5 33
101 3 4 4 4 4 3 3 5 30
102 3 3 2 4 3 3 3 4 25
103 3 3 3 3 3 3 3 4 25
104 4 3 3 3 3 3 3 4 26
105 3 3 3 3 3 3 4 3 25
106 4 4 4 4 4 4 4 4 32
Jumla
h 364 369 343 393 348 358 363 413 2951
15
Lampiran Data Hasil Penyebaran Angket
Variabel X4 (Literasi Keuangan Syariah)
No.
LKS
1
LKS
2
LKS
3
LKS
4
LKS
5
LKS
6
LKS
7
LKS
8
Jumla
h
1 5 5 5 5 5 5 5 5 40
2 2 4 5 4 3 3 3 3 27
3 2 3 2 2 4 3 3 3 22
4 3 4 3 4 3 4 3 3 27
5 3 5 3 4 4 5 4 3 31
6 4 4 4 4 4 4 4 4 32
7 3 3 3 4 3 3 3 3 25
8 4 3 4 3 3 4 4 3 28
9 3 4 5 5 3 3 4 4 31
10 4 4 4 4 4 4 4 4 32
11 3 5 4 4 4 4 4 4 32
12 3 3 3 4 3 3 3 3 25
13 4 4 4 5 5 5 4 3 34
14 3 3 4 3 4 4 4 4 29
15 3 3 3 3 3 3 3 3 24
16 5 5 5 4 5 4 5 5 38
17 3 3 4 4 4 4 4 3 29
18 4 4 4 4 4 4 4 4 32
19 3 3 4 4 3 4 3 4 28
20 3 5 5 5 4 4 4 3 33
21 3 4 4 3 4 4 4 4 30
22 3 3 4 4 3 4 3 4 28
23 3 4 3 3 4 4 4 4 29
24 4 4 4 4 3 3 3 3 28
25 3 4 4 4 5 4 4 4 32
26 3 3 4 3 2 3 3 3 24
27 4 4 3 3 4 5 4 4 31
28 3 4 4 4 3 3 4 4 29
29 2 3 4 4 4 4 4 2 27
30 4 3 5 2 3 5 3 4 29
31 2 5 3 2 3 3 3 3 24
32 3 3 3 3 3 3 3 3 24
33 3 4 5 4 5 5 5 5 36
34 3 4 4 4 4 4 4 4 31
35 1 4 4 2 2 4 4 1 22
36 4 4 3 4 4 4 4 4 31
37 4 3 5 4 4 4 5 4 33
38 4 4 4 4 4 4 4 4 32
39 4 4 4 4 4 4 4 4 32
40 4 4 4 4 4 4 4 4 32
41 4 4 4 4 3 4 3 3 29
16
42 3 4 4 4 4 4 4 4 31
43 3 3 3 3 4 4 4 4 28
44 3 4 4 3 4 4 5 5 32
45 4 4 4 2 5 4 4 4 31
46 3 4 5 4 5 4 5 5 35
47 4 3 4 3 2 5 4 3 28
48 3 3 3 3 3 3 3 3 24
49 3 4 4 4 4 4 4 4 31
50 3 3 3 3 3 3 3 3 24
51 4 4 4 4 4 4 4 4 32
52 3 5 3 4 3 3 3 3 27
53 3 3 3 3 3 5 3 5 28
54 3 3 3 3 3 3 3 3 24
55 3 3 3 3 3 3 3 3 24
56 4 3 5 5 4 5 5 5 36
57 4 4 4 4 4 4 3 4 31
58 2 3 4 3 4 4 4 4 28
59 3 4 3 4 4 4 4 3 29
60 4 4 4 3 4 4 4 4 31
61 4 4 4 4 4 4 4 4 32
62 4 3 4 4 4 4 4 4 31
63 3 3 3 4 3 4 3 3 26
64 3 5 4 4 3 2 3 4 28
65 4 4 4 3 5 5 4 5 34
66 3 4 4 4 4 4 4 4 31
67 3 3 4 3 4 3 4 3 27
68 3 4 4 4 4 4 4 4 31
69 3 3 3 4 3 4 5 4 29
70 4 4 4 3 4 4 4 4 31
71 3 4 3 4 4 5 4 4 31
72 5 4 4 4 4 5 5 4 35
73 4 4 4 4 4 4 3 4 31
74 4 4 4 3 4 4 5 4 32
75 3 3 4 4 3 4 4 3 28
76 3 3 3 4 4 4 4 4 29
77 4 4 4 4 4 4 4 4 32
78 3 3 4 4 4 5 3 3 29
79 4 4 5 5 4 5 4 4 35
80 3 3 4 4 4 4 4 4 30
81 3 4 3 3 3 4 4 4 28
82 3 3 3 3 4 4 4 3 27
83 3 3 3 3 3 4 4 4 27
84 4 4 3 4 5 5 5 5 35
85 3 4 3 3 3 4 3 3 26
86 3 3 3 3 3 3 3 3 24
87 4 4 5 4 3 3 4 5 32
17
88 3 3 3 4 3 4 4 3 27
89 3 4 2 2 5 5 5 4 30
90 2 3 4 4 2 1 1 3 20
91 4 5 5 3 4 4 5 4 34
92 3 3 3 3 3 3 3 3 24
93 3 3 3 3 3 3 3 3 24
94 3 3 3 3 4 4 4 3 27
95 4 5 5 5 3 5 5 4 36
96 3 3 4 3 4 4 4 3 28
97 3 3 3 3 4 3 3 3 25
98 2 2 2 2 2 2 2 2 16
99 5 4 3 4 4 5 4 4 33
100 4 5 4 4 3 4 4 5 33
101 4 5 4 3 5 3 5 4 33
102 3 4 4 4 3 4 4 3 29
103 3 3 4 4 4 4 4 4 30
104 4 4 3 2 3 3 3 3 25
105 2 3 4 5 4 4 4 4 30
106 4 3 4 4 4 4 4 4 31
Jumla
h 352 390 397 382 388 411 403 389 3112
18
Lampiran Data Hasil Penyebaran Angket
Variabel X5 (Motivasi Investasi)
No. MI1 MI2 MI3 MI4 MI5 MI6 MI7 Jumlah
1 5 5 2 5 2 3 3 25
2 3 3 3 4 3 3 3 22
3 4 4 3 4 3 4 3 25
4 3 4 4 3 3 4 4 25
5 4 5 4 4 3 4 4 28
6 4 4 4 4 4 4 4 28
7 3 3 3 4 3 3 3 22
8 4 4 3 4 4 4 4 27
9 4 4 3 4 4 4 3 26
10 4 4 3 3 4 4 4 26
11 4 5 4 5 4 5 4 31
12 5 3 3 5 3 5 5 29
13 5 4 1 4 4 3 4 25
14 4 4 4 4 3 4 4 27
15 3 3 3 3 3 3 3 21
16 4 4 4 4 4 4 4 28
17 4 4 4 4 4 4 4 28
18 4 4 4 4 5 5 5 31
19 3 4 3 3 3 3 3 22
20 5 5 3 4 4 4 5 30
21 4 4 3 3 2 4 4 24
22 4 4 3 4 3 4 4 26
23 3 3 3 3 3 3 3 21
24 4 4 3 4 4 4 3 26
25 3 4 3 3 3 4 5 25
26 3 4 2 3 2 3 3 20
27 4 4 3 3 4 3 4 25
28 3 3 3 4 4 4 4 25
29 4 3 3 3 3 4 4 24
30 3 5 2 2 5 3 4 24
19
31 3 3 3 3 3 3 3 21
32 3 4 3 3 3 3 3 22
33 5 5 3 5 3 5 5 31
34 4 4 4 4 4 4 4 28
35 4 4 4 4 4 4 4 28
36 4 4 3 4 3 4 4 26
37 5 5 2 4 3 3 4 26
38 4 4 4 4 4 4 4 28
39 4 3 3 5 4 4 4 27
40 4 4 4 4 4 4 4 28
41 4 4 4 3 3 5 4 27
42 3 4 3 3 3 3 4 23
43 3 4 3 4 4 4 4 26
44 4 3 3 3 4 4 4 25
45 5 5 4 2 5 4 5 30
46 4 4 3 5 2 3 5 26
47 4 4 3 5 2 4 3 25
48 3 3 3 3 3 3 3 21
49 4 4 4 4 4 4 4 28
50 3 3 3 3 3 3 3 21
51 4 4 4 4 4 4 4 28
52 3 3 3 4 4 3 3 23
53 5 5 5 3 3 4 3 28
54 3 3 3 3 3 3 3 21
55 5 3 4 4 4 3 4 27
56 5 5 3 5 5 5 5 33
57 4 4 2 4 3 3 4 24
58 4 4 4 4 3 4 3 26
59 4 4 4 4 3 4 5 28
60 5 5 3 3 4 4 5 29
61 4 4 4 4 4 4 4 28
62 4 4 3 4 4 4 4 27
63 3 4 3 3 3 4 3 23
64 4 4 2 5 4 4 5 28
20
65 3 4 3 4 4 4 3 25
66 4 4 4 4 4 4 4 28
67 4 4 4 4 4 3 3 26
68 4 4 3 4 4 4 3 26
69 5 5 5 5 3 4 4 31
70 4 4 4 4 4 4 4 28
71 5 5 4 4 4 4 5 31
72 5 5 4 4 4 4 5 31
73 4 4 4 4 4 3 4 27
74 3 3 3 5 3 3 3 23
75 3 4 3 4 3 3 4 24
76 4 4 3 3 4 4 4 26
77 4 4 4 4 4 4 4 28
78 4 4 4 4 4 4 4 28
79 5 5 2 5 4 4 5 30
80 4 4 4 4 4 4 4 28
81 4 4 4 5 5 5 4 31
82 3 3 3 3 3 3 3 21
83 4 4 4 4 4 4 4 28
84 5 5 3 5 5 5 5 33
85 4 4 4 3 4 4 4 27
86 3 3 2 2 2 2 2 16
87 4 4 3 5 3 5 5 29
88 3 4 3 3 3 4 3 23
89 4 5 1 5 5 4 5 29
90 3 4 3 4 4 3 4 25
91 4 5 3 5 5 5 5 32
92 3 3 3 3 3 3 3 21
93 3 3 3 3 3 3 3 21
94 3 3 3 3 3 3 4 22
95 4 4 4 5 4 4 5 30
96 3 4 3 4 3 3 4 24
97 3 3 3 4 4 4 4 25
98 2 2 2 2 2 2 2 14
21
99 4 4 3 4 4 4 4 27
100 4 4 4 3 5 4 4 28
101 4 5 3 5 3 4 5 29
102 3 3 3 3 3 3 4 22
103 4 4 3 3 3 4 4 25
104 4 4 3 3 3 2 4 23
105 5 5 5 4 4 5 5 33
106 4 4 4 4 4 4 4 28
Jumlah 407 419 346 403 377 397 413 2762
22
Lampiran Data Hasil Penyebaran Angket
Variabel Y (Minat Berinvestasi)
No. MB1 MB2 MI3 MB4 MB5 MB6 MB7 Jumlah
1 5 2 2 1 1 1 1 13
2 3 3 3 3 3 3 3 21
3 3 3 4 3 3 3 4 23
4 3 3 4 3 3 3 3 22
5 4 3 3 3 4 4 5 26
6 4 4 4 4 4 4 4 28
7 3 3 3 3 3 3 3 21
8 4 3 4 4 4 4 4 27
9 4 4 4 4 4 3 4 27
10 4 4 4 4 4 4 4 28
11 5 5 5 5 5 5 5 35
12 3 3 3 3 3 3 3 21
13 4 3 2 4 4 4 3 24
14 4 4 4 3 3 4 4 26
15 3 3 3 3 3 3 3 21
16 5 5 5 5 5 5 5 35
17 3 3 4 3 3 3 4 23
18 5 5 5 5 5 5 4 34
19 3 3 3 3 3 3 3 21
20 4 4 4 4 4 4 4 28
21 4 3 4 3 3 4 4 25
22 3 3 3 3 3 3 3 21
23 3 3 3 3 3 3 3 21
24 4 3 4 4 3 3 4 25
25 4 4 4 4 3 4 4 27
26 4 4 3 4 4 4 3 26
27 4 4 4 4 4 5 5 30
28 3 3 3 4 3 3 3 22
29 4 3 3 4 3 4 3 24
30 4 3 4 3 3 3 2 22
31 3 3 3 3 3 3 3 21
32 4 4 4 3 3 3 3 24
33 5 5 5 5 5 5 5 35
34 4 4 4 4 4 4 4 28
35 4 4 4 4 4 4 4 28
36 4 4 4 4 4 4 4 28
37 4 4 4 4 4 3 3 26
38 4 4 4 4 4 4 4 28
39 4 4 4 4 4 4 4 28
40 4 4 4 4 4 4 4 28
41 5 5 5 5 4 4 4 32
42 3 3 3 3 3 3 3 21
23
43 4 4 4 4 4 4 4 28
44 4 3 3 4 4 3 3 24
45 4 4 5 4 4 4 3 28
46 4 3 3 4 4 4 3 25
47 3 3 4 3 4 3 4 24
48 3 3 3 3 3 3 3 21
49 4 4 4 4 4 4 4 28
50 3 3 3 3 3 3 3 21
51 4 4 4 4 4 4 4 28
52 3 3 3 3 3 3 3 21
53 3 3 3 3 3 4 3 22
54 3 3 3 3 3 3 3 21
55 4 4 4 4 4 4 4 28
56 4 5 5 4 5 5 3 31
57 4 3 3 4 4 4 4 26
58 4 4 4 4 3 3 4 26
59 4 4 4 4 4 4 4 28
60 3 4 4 4 3 3 3 24
61 4 4 4 4 4 4 4 28
62 3 3 3 3 4 4 3 23
63 4 4 4 4 4 3 4 27
64 5 5 5 4 5 4 4 32
65 3 4 4 4 3 4 4 26
66 4 4 4 4 4 4 4 28
67 4 4 3 3 4 4 4 26
68 4 4 4 4 4 3 4 27
69 4 4 4 4 4 4 4 28
70 4 4 4 4 4 4 4 28
71 5 4 4 4 4 5 4 30
72 4 4 4 4 4 4 5 29
73 4 4 3 4 3 4 4 26
74 3 3 3 3 3 3 3 21
75 4 3 3 3 3 3 3 22
76 4 4 3 4 3 4 4 26
77 4 4 4 4 4 4 4 28
78 3 3 4 5 5 5 4 29
79 4 3 3 4 4 5 4 27
80 5 5 5 5 4 5 5 34
81 5 4 5 5 5 5 5 34
82 3 3 3 3 3 3 3 21
83 4 3 4 4 3 4 4 26
84 5 5 5 5 5 5 5 35
85 4 4 4 4 3 4 3 26
86 2 2 2 2 2 3 3 16
87 5 5 5 5 4 3 4 31
88 3 3 3 3 3 4 4 23
24
89 4 3 3 3 4 4 3 24
90 3 3 3 3 3 3 3 21
91 5 5 5 5 5 5 5 35
92 3 3 3 3 3 3 3 21
93 5 4 4 4 4 4 4 29
94 3 4 3 3 3 3 3 22
95 4 4 5 4 3 4 3 27
96 3 4 4 4 3 3 3 24
97 3 3 3 3 3 3 3 21
98 2 2 2 2 2 2 2 14
99 4 4 4 4 4 4 4 28
100 4 4 4 4 4 4 4 28
101 5 4 4 5 4 5 5 32
102 3 3 4 3 3 3 4 23
103 3 3 3 3 3 3 3 21
104 2 3 3 2 2 3 3 18
105 4 3 3 3 3 3 3 22
106 4 4 4 4 4 4 4 28
Jumlah 400 384 392 390 380 391 386 2723
25
Lampiran Uji Validitas
X1.1 X1.2 X1.3 X1.4 X1.5 X1.6 X1.7 X1.8 X1
X1.
1
Pearson
Correlati
on
1 .535
**
.258**
.223*
.363**
.374**
.198*
.460**
.661**
Sig. (2-
tailed) .000 .008 .021 .000 .000 .042 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
2
Pearson
Correlati
on
.535**
1
.364**
.215*
.319**
.351**
.142
.379**
.638**
Sig. (2-
tailed) .000 .000 .027 .001 .000 .146 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
3
Pearson
Correlati
on
.258**
.364**
1
.369**
.413**
.422**
.119
.257**
.616**
Sig. (2-
tailed) .008 .000 .000 .000 .000 .226 .008 .000
N 106 106 106 106 106 106 106 106 106
X1.
4
Pearson
Correlati
on
.223*
.215*
.369**
1
.368**
.378**
.208*
.279**
.589**
Sig. (2-
tailed) .021 .027 .000 .000 .000 .032 .004 .000
N 106 106 106 106 106 106 106 106 106
X1.
5
Pearson
Correlati
on
.363**
.319**
.413**
.368**
1
.551**
.494**
.417**
.757**
Sig. (2-
tailed) .000 .001 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
6
Pearson
Correlati
on
.374**
.351**
.422**
.378**
.551**
1
.347**
.405**
.737**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
7
Pearson
Correlati
on
.198*
.142 .119 .208
*
.494**
.347**
1 .184
.520**
Sig. (2-
tailed) .042 .146 .226 .032 .000 .000 .059 .000
N 106 106 106 106 106 106 106 106 106
X1.
8
Pearson
Correlati
.460**
.379**
.257**
.279**
.417**
.405**
.184 1
.656**
26
on
Sig. (2-
tailed) .000 .000 .008 .004 .000 .000 .059 .000
N 106 106 106 106 106 106 106 106 106
X1 Pearson
Correlati
on
.661**
.638**
.616**
.589**
.757**
.737**
.520**
.656**
1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
1
Pearson
Correlati
on
.292**
.188
.429**
.295**
.358**
.274**
.058
.290**
.422**
Sig. (2-
tailed) .002 .053 .000 .002 .000 .004 .555 .003 .000
N 106 106 106 106 106 106 106 106 106
X2.
2
Pearson
Correlati
on
.172 .235
*
.461**
.271**
.389**
.191 .076
.295**
.404**
Sig. (2-
tailed) .078 .015 .000 .005 .000 .050 .439 .002 .000
N 106 106 106 106 106 106 106 106 106
X2.
3
Pearson
Correlati
on
.254**
.194*
.330**
.230*
.217*
.239*
.115 .134 .330
**
Sig. (2-
tailed) .009 .047 .001 .018 .026 .014 .242 .170 .001
N 106 106 106 106 106 106 106 106 106
X2.
4
Pearson
Correlati
on
.390**
.261**
.410**
.291**
.425**
.406**
.263**
.342**
.538**
Sig. (2-
tailed) .000 .007 .000 .002 .000 .000 .006 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
5
Pearson
Correlati
on
.390**
.276**
.291**
.283**
.448**
.294**
.342**
.339**
.515**
Sig. (2-
tailed) .000 .004 .002 .003 .000 .002 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
6
Pearson
Correlati
on
.241*
.189 .325
**
.235*
.339**
.249**
.239*
.242*
.398**
Sig. (2-
tailed) .013 .052 .001 .015 .000 .010 .014 .013 .000
N 106 106 106 106 106 106 106 106 106
27
X2.
7
Pearson
Correlati
on
.359**
.383**
.421**
.323**
.445**
.394**
.207*
.454**
.577**
Sig. (2-
tailed) .000 .000 .000 .001 .000 .000 .033 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
8
Pearson
Correlati
on
.438**
.299**
.421**
.270**
.475**
.481**
.263**
.374**
.583**
Sig. (2-
tailed) .000 .002 .000 .005 .000 .000 .007 .000 .000
N 106 106 106 106 106 106 106 106 106
X2 Pearson
Correlati
on
.453**
.362**
.552**
.393**
.553**
.452**
.279**
.442**
.673**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .004 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
1
Pearson
Correlati
on
.396**
.326**
.460**
.321**
.494**
.520**
.330**
.368**
.621**
Sig. (2-
tailed) .000 .001 .000 .001 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
2
Pearson
Correlati
on
.340**
.378**
.455**
.260**
.468**
.381**
.272**
.299**
.550**
Sig. (2-
tailed) .000 .000 .000 .007 .000 .000 .005 .002 .000
N 106 106 106 106 106 106 106 106 106
X3.
3
Pearson
Correlati
on
.331**
.316**
.345**
.166
.468**
.474**
.335**
.262**
.520**
Sig. (2-
tailed) .001 .001 .000 .090 .000 .000 .000 .007 .000
N 106 106 106 106 106 106 106 106 106
X3.
4
Pearson
Correlati
on
.381**
.368**
.276**
.361**
.431**
.396**
.316**
.361**
.559**
Sig. (2-
tailed) .000 .000 .004 .000 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
5
Pearson
Correlati
on
.231*
.310**
.344**
.168
.444**
.431**
.275**
.170
.457**
Sig. (2-
tailed) .017 .001 .000 .085 .000 .000 .004 .082 .000
28
N 106 106 106 106 106 106 106 106 106
X3.
6
Pearson
Correlati
on
.371**
.239*
.219*
.206*
.442**
.438**
.217*
.252**
.460**
Sig. (2-
tailed) .000 .014 .024 .034 .000 .000 .025 .009 .000
N 106 106 106 106 106 106 106 106 106
X3.
7
Pearson
Correlati
on
.257**
.262**
.333**
.204*
.402**
.333**
.153
.376**
.448**
Sig. (2-
tailed) .008 .007 .000 .036 .000 .000 .118 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
8
Pearson
Correlati
on
.452**
.449**
.161
.285**
.379**
.249**
.231*
.439**
.513**
Sig. (2-
tailed) .000 .000 .100 .003 .000 .010 .017 .000 .000
N 106 106 106 106 106 106 106 106 106
X3 Pearson
Correlati
on
.486**
.466**
.456**
.346**
.620**
.566**
.374**
.444**
.726**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
1
Pearson
Correlati
on
.253**
.294**
.268**
.149
.454**
.292**
.270**
.277**
.435**
Sig. (2-
tailed) .009 .002 .005 .128 .000 .002 .005 .004 .000
N 106 106 106 106 106 106 106 106 106
X4.
2
Pearson
Correlati
on
.282**
.361**
.278**
.308**
.453**
.361**
.263**
.231*
.490**
Sig. (2-
tailed) .003 .000 .004 .001 .000 .000 .006 .017 .000
N 106 106 106 106 106 106 106 106 106
X4.
3
Pearson
Correlati
on
.239*
.170 .150 .204
*
.229*
.223*
.137 .256
**
.311**
Sig. (2-
tailed) .013 .082 .125 .036 .018 .022 .162 .008 .001
N 106 106 106 106 106 106 106 106 106
X4.
4
Pearson
Correlati
on
.148 .099 .150 .185 .253
**
.143 .241
*
.154 .266
**
29
Sig. (2-
tailed) .131 .314 .124 .057 .009 .145 .013 .114 .006
N 106 106 106 106 106 106 106 106 106
X4.
5
Pearson
Correlati
on
.196*
.353**
.176
.210*
.275**
.163
.284**
.216*
.362**
Sig. (2-
tailed) .045 .000 .071 .030 .004 .095 .003 .026 .000
N 106 106 106 106 106 106 106 106 106
X4.
6
Pearson
Correlati
on
.334**
.277**
.172
.354**
.328**
.131
.232*
.496**
.452**
Sig. (2-
tailed) .000 .004 .078 .000 .001 .182 .017 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
7
Pearson
Correlati
on
.380**
.432**
.199*
.207*
.406**
.256**
.241*
.456**
.499**
Sig. (2-
tailed) .000 .000 .041 .033 .000 .008 .013 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
8
Pearson
Correlati
on
.365**
.381**
.191 .081
.402**
.284**
.292**
.359**
.455**
Sig. (2-
tailed) .000 .000 .050 .409 .000 .003 .002 .000 .000
N 106 106 106 106 106 106 106 106 106
X4 Pearson
Correlati
on
.406**
.437**
.293**
.314**
.517**
.342**
.362**
.452**
.604**
Sig. (2-
tailed) .000 .000 .002 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
1
Pearson
Correlati
on
.388**
.369**
.217*
.229*
.403**
.349**
.400**
.513**
.555**
Sig. (2-
tailed) .000 .000 .026 .018 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
2
Pearson
Correlati
on
.491**
.403**
.224*
.227*
.361**
.346**
.305**
.590**
.571**
Sig. (2-
tailed) .000 .000 .021 .019 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
3
Pearson
Correlati
.221*
.143 .286
**
.140 .264
**
.190 .222
*
.345**
.350**
30
on
Sig. (2-
tailed) .023 .144 .003 .151 .006 .051 .022 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
4
Pearson
Correlati
on
.254**
.273**
.148
.261**
.324**
.252**
.196*
.288**
.386**
Sig. (2-
tailed) .009 .005 .130 .007 .001 .009 .044 .003 .000
N 106 106 106 106 106 106 106 106 106
X5.
5
Pearson
Correlati
on
.251**
.257**
.186
.195*
.266**
.380**
.328**
.314**
.421**
Sig. (2-
tailed) .010 .008 .056 .045 .006 .000 .001 .001 .000
N 106 106 106 106 106 106 106 106 106
X5.
6
Pearson
Correlati
on
.390**
.363**
.296**
.255**
.282**
.383**
.269**
.376**
.505**
Sig. (2-
tailed) .000 .000 .002 .008 .003 .000 .005 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
7
Pearson
Correlati
on
.347**
.442**
.287**
.348**
.358**
.415**
.288**
.355**
.549**
Sig. (2-
tailed) .000 .000 .003 .000 .000 .000 .003 .000 .000
N 106 106 106 106 106 106 106 106 106
X5 Pearson
Correlati
on
.481**
.462**
.338**
.340**
.464**
.476**
.412**
.571**
.686**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
1
Pearson
Correlati
on
.526**
.493**
.411**
.312**
.497**
.528**
.296**
.456**
.679**
Sig. (2-
tailed) .000 .000 .000 .001 .000 .000 .002 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
2
Pearson
Correlati
on
.528**
.485**
.363**
.332**
.389**
.618**
.222*
.418**
.647**
Sig. (2-
tailed) .000 .000 .000 .001 .000 .000 .022 .000 .000
N 106 106 106 106 106 106 106 106 106
31
Y1.
3
Pearson
Correlati
on
.432**
.448**
.365**
.279**
.328**
.540**
.182
.390**
.572**
Sig. (2-
tailed) .000 .000 .000 .004 .001 .000 .061 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
4
Pearson
Correlati
on
.455**
.454**
.301**
.231*
.310**
.429**
.224*
.248*
.511**
Sig. (2-
tailed) .000 .000 .002 .017 .001 .000 .021 .010 .000
N 106 106 106 106 106 106 106 106 106
Y1.
5
Pearson
Correlati
on
.418**
.347**
.349**
.268**
.357**
.485**
.374**
.297**
.559**
Sig. (2-
tailed) .000 .000 .000 .005 .000 .000 .000 .002 .000
N 106 106 106 106 106 106 106 106 106
Y1.
6
Pearson
Correlati
on
.522**
.522**
.336**
.285**
.365**
.440**
.204*
.373**
.589**
Sig. (2-
tailed) .000 .000 .000 .003 .000 .000 .036 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
7
Pearson
Correlati
on
.407**
.476**
.349**
.171
.319**
.418**
.109
.350**
.502**
Sig. (2-
tailed) .000 .000 .000 .079 .001 .000 .265 .000 .000
N 106 106 106 106 106 106 106 106 106
Y Pearson
Correlati
on
.547**
.536**
.411**
.312**
.427**
.575**
.268**
.421**
.675**
Sig. (2-
tailed) .000 .000 .000 .001 .000 .000 .005 .000 .000
N 106 106 106 106 106 106 106 106 106
32
X2.1 X2.2 X2.3 X2.4 X2.5 X2.6 X2.7 X2.8 X2
X1.
1
Pearson
Correlati
on
.292**
.172
.254**
.390**
.390**
.241*
.359**
.438**
.453**
Sig. (2-
tailed) .002 .078 .009 .000 .000 .013 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
2
Pearson
Correlati
on
.188 .235
*
.194*
.261**
.276**
.189
.383**
.299**
.362**
Sig. (2-
tailed) .053 .015 .047 .007 .004 .052 .000 .002 .000
N 106 106 106 106 106 106 106 106 106
X1.
3
Pearson
Correlati
on
.429**
.461**
.330**
.410**
.291**
.325**
.421**
.421**
.552**
Sig. (2-
tailed) .000 .000 .001 .000 .002 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
4
Pearson
Correlati
on
.295**
.271**
.230*
.291**
.283**
.235*
.323**
.270**
.393**
Sig. (2-
tailed) .002 .005 .018 .002 .003 .015 .001 .005 .000
N 106 106 106 106 106 106 106 106 106
X1.
5
Pearson
Correlati
on
.358**
.389**
.217*
.425**
.448**
.339**
.445**
.475**
.553**
Sig. (2-
tailed) .000 .000 .026 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
6
Pearson
Correlati
on
.274**
.191
.239*
.406**
.294**
.249**
.394**
.481**
.452**
Sig. (2-
tailed) .004 .050 .014 .000 .002 .010 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
7
Pearson
Correlati
on
.058 .076 .115 .263
**
.342**
.239*
.207*
.263**
.279**
Sig. (2-
tailed) .555 .439 .242 .006 .000 .014 .033 .007 .004
N 106 106 106 106 106 106 106 106 106
X1.
8
Pearson
Correlati
on
.290**
.295**
.134
.342**
.339**
.242*
.454**
.374**
.442**
33
Sig. (2-
tailed) .003 .002 .170 .000 .000 .013 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1 Pearson
Correlati
on
.422**
.404**
.330**
.538**
.515**
.398**
.577**
.583**
.673**
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
1
Pearson
Correlati
on
1 .462
**
.359**
.284**
.267**
.361**
.417**
.339**
.625**
Sig. (2-
tailed) .000 .000 .003 .006 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
2
Pearson
Correlati
on
.462**
1
.606**
.407**
.318**
.358**
.450**
.406**
.715**
Sig. (2-
tailed) .000 .000 .000 .001 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
3
Pearson
Correlati
on
.359**
.606**
1
.404**
.241*
.308**
.417**
.497**
.684**
Sig. (2-
tailed) .000 .000 .000 .013 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
4
Pearson
Correlati
on
.284**
.407**
.404**
1
.604**
.587**
.614**
.442**
.775**
Sig. (2-
tailed) .003 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
5
Pearson
Correlati
on
.267**
.318**
.241*
.604**
1
.379**
.405**
.359**
.639**
Sig. (2-
tailed) .006 .001 .013 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
6
Pearson
Correlati
on
.361**
.358**
.308**
.587**
.379**
1
.502**
.309**
.679**
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
34
X2.
7
Pearson
Correlati
on
.417**
.450**
.417**
.614**
.405**
.502**
1
.566**
.781**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
8
Pearson
Correlati
on
.339**
.406**
.497**
.442**
.359**
.309**
.566**
1
.700**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X2 Pearson
Correlati
on
.625**
.715**
.684**
.775**
.639**
.679**
.781**
.700**
1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
1
Pearson
Correlati
on
.414**
.432**
.472**
.545**
.421**
.445**
.632**
.648**
.716**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
2
Pearson
Correlati
on
.411**
.397**
.331**
.440**
.536**
.325**
.440**
.447**
.595**
Sig. (2-
tailed) .000 .000 .001 .000 .000 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
3
Pearson
Correlati
on
.285**
.266**
.251**
.481**
.455**
.361**
.478**
.370**
.527**
Sig. (2-
tailed) .003 .006 .009 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
4
Pearson
Correlati
on
.225*
.393**
.335**
.467**
.476**
.267**
.557**
.458**
.568**
Sig. (2-
tailed) .020 .000 .000 .000 .000 .006 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
5
Pearson
Correlati
on
.351**
.373**
.412**
.398**
.380**
.384**
.538**
.334**
.566**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
35
N 106 106 106 106 106 106 106 106 106
X3.
6
Pearson
Correlati
on
.320**
.226*
.322**
.437**
.316**
.239*
.420**
.384**
.476**
Sig. (2-
tailed) .001 .020 .001 .000 .001 .014 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
7
Pearson
Correlati
on
.245*
.333**
.106
.470**
.308**
.319**
.401**
.239*
.433**
Sig. (2-
tailed) .011 .000 .279 .000 .001 .001 .000 .014 .000
N 106 106 106 106 106 106 106 106 106
X3.
8
Pearson
Correlati
on
.072 .200
*
.081 .321
**
.469**
.036
.335**
.218*
.310**
Sig. (2-
tailed) .461 .040 .412 .001 .000 .713 .000 .025 .001
N 106 106 106 106 106 106 106 106 106
X3 Pearson
Correlati
on
.408**
.460**
.405**
.625**
.592**
.417**
.667**
.544**
.736**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
1
Pearson
Correlati
on
.137 .352
**
.237*
.337**
.235*
.122 .393
**
.173 .355
**
Sig. (2-
tailed) .160 .000 .015 .000 .015 .214 .000 .076 .000
N 106 106 106 106 106 106 106 106 106
X4.
2
Pearson
Correlati
on
.219*
.261**
.172
.369**
.446**
.303**
.338**
.273**
.426**
Sig. (2-
tailed) .024 .007 .077 .000 .000 .002 .000 .005 .000
N 106 106 106 106 106 106 106 106 106
X4.
3
Pearson
Correlati
on
-
.020
.222*
.163 .403
**
.294**
.205*
.286**
.266**
.325**
Sig. (2-
tailed) .837 .022 .094 .000 .002 .035 .003 .006 .001
N 106 106 106 106 106 106 106 106 106
X4.
4
Pearson
Correlati
on
.151 .165 .108 .244
*
.320**
.218*
.257**
.116
.282**
36
Sig. (2-
tailed) .123 .090 .272 .012 .001 .025 .008 .237 .003
N 106 106 106 106 106 106 106 106 106
X4.
5
Pearson
Correlati
on
.224*
.333**
.135
.254**
.367**
.054
.217*
.215*
.322**
Sig. (2-
tailed) .021 .000 .167 .008 .000 .579 .025 .027 .001
N 106 106 106 106 106 106 106 106 106
X4.
6
Pearson
Correlati
on
.162 .322
**
.104 .197
*
.267**
.003
.275**
.120
.259**
Sig. (2-
tailed) .097 .001 .287 .043 .006 .972 .004 .222 .007
N 106 106 106 106 106 106 106 106 106
X4.
7
Pearson
Correlati
on
.185 .297
**
.162 .314
**
.503**
.104
.330**
.266**
.387**
Sig. (2-
tailed) .057 .002 .097 .001 .000 .289 .001 .006 .000
N 106 106 106 106 106 106 106 106 106
X4.
8
Pearson
Correlati
on
.286**
.366**
.166
.327**
.333**
.133
.363**
.354**
.417**
Sig. (2-
tailed) .003 .000 .088 .001 .000 .174 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4 Pearson
Correlati
on
.248*
.429**
.231*
.452**
.511**
.211*
.455**
.330**
.512**
Sig. (2-
tailed) .010 .000 .017 .000 .000 .030 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X5.
1
Pearson
Correlati
on
.224*
.152 .001 .240
*
.399**
.088
.229*
.236*
.281**
Sig. (2-
tailed) .021 .121 .991 .013 .000 .370 .018 .015 .004
N 106 106 106 106 106 106 106 106 106
X5.
2
Pearson
Correlati
on
.165 .210
*
.040 .196
*
.341**
.023
.247*
.364**
.284**
Sig. (2-
tailed) .091 .031 .687 .044 .000 .813 .011 .000 .003
N 106 106 106 106 106 106 106 106 106
37
X5.
3
Pearson
Correlati
on
.397**
.272**
.288**
.262**
.235*
.334**
.293**
.391**
.442**
Sig. (2-
tailed) .000 .005 .003 .007 .015 .000 .002 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
4
Pearson
Correlati
on
.123 .127 .000 .326
**
.352**
.203*
.233*
.098 .261
**
Sig. (2-
tailed) .210 .194 .999 .001 .000 .037 .016 .317 .007
N 106 106 106 106 106 106 106 106 106
X5.
5
Pearson
Correlati
on
.110 .147 .150 .179 .251
**
.072 .264
**
.352**
.273**
Sig. (2-
tailed) .260 .132 .125 .066 .010 .463 .006 .000 .005
N 106 106 106 106 106 106 106 106 106
X5.
6
Pearson
Correlati
on
.307**
.259**
.278**
.335**
.324**
.161
.435**
.412**
.449**
Sig. (2-
tailed) .001 .007 .004 .000 .001 .099 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
7
Pearson
Correlati
on
.178 .250
**
.209*
.198*
.352**
.077
.313**
.376**
.349**
Sig. (2-
tailed) .068 .010 .032 .042 .000 .433 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X5 Pearson
Correlati
on
.309**
.291**
.198*
.357**
.463**
.197*
.414**
.458**
.481**
Sig. (2-
tailed) .001 .002 .042 .000 .000 .043 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
1
Pearson
Correlati
on
.279**
.259**
.188
.425**
.467**
.267**
.442**
.446**
.496**
Sig. (2-
tailed) .004 .007 .054 .000 .000 .006 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
2
Pearson
Correlati
on
.307**
.167
.335**
.463**
.386**
.236*
.538**
.577**
.538**
Sig. (2-
tailed) .001 .087 .000 .000 .000 .015 .000 .000 .000
38
N 106 106 106 106 106 106 106 106 106
Y1.
3
Pearson
Correlati
on
.241*
.189 .308
**
.485**
.306**
.225*
.525**
.550**
.506**
Sig. (2-
tailed) .013 .052 .001 .000 .001 .020 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
4
Pearson
Correlati
on
.269**
.183
.337**
.384**
.419**
.216*
.464**
.432**
.483**
Sig. (2-
tailed) .005 .061 .000 .000 .000 .026 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
5
Pearson
Correlati
on
.213*
.098 .274
**
.371**
.388**
.231*
.439**
.424**
.436**
Sig. (2-
tailed) .028 .317 .005 .000 .000 .017 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
6
Pearson
Correlati
on
.276**
.246*
.313**
.290**
.321**
.232*
.477**
.444**
.464**
Sig. (2-
tailed) .004 .011 .001 .003 .001 .017 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
7
Pearson
Correlati
on
.339**
.234*
.413**
.369**
.340**
.221*
.485**
.482**
.515**
Sig. (2-
tailed) .000 .016 .000 .000 .000 .023 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y Pearson
Correlati
on
.320**
.229*
.360**
.464**
.437**
.271**
.561**
.558**
.572**
Sig. (2-
tailed) .001 .018 .000 .000 .000 .005 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
39
X3.1 X3.2 X3.3 X3.4 X3.5 X3.6 X3.7 X3.8 X3
X1.
1
Pearson
Correlati
on
.396**
.340**
.331**
.381**
.231*
.371**
.257**
.452**
.486**
Sig. (2-
tailed) .000 .000 .001 .000 .017 .000 .008 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
2
Pearson
Correlati
on
.326**
.378**
.316**
.368**
.310**
.239*
.262**
.449**
.466**
Sig. (2-
tailed) .001 .000 .001 .000 .001 .014 .007 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
3
Pearson
Correlati
on
.460**
.455**
.345**
.276**
.344**
.219*
.333**
.161
.456**
Sig. (2-
tailed) .000 .000 .000 .004 .000 .024 .000 .100 .000
N 106 106 106 106 106 106 106 106 106
X1.
4
Pearson
Correlati
on
.321**
.260**
.166
.361**
.168
.206*
.204*
.285**
.346**
Sig. (2-
tailed) .001 .007 .090 .000 .085 .034 .036 .003 .000
N 106 106 106 106 106 106 106 106 106
X1.
5
Pearson
Correlati
on
.494**
.468**
.468**
.431**
.444**
.442**
.402**
.379**
.620**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
6
Pearson
Correlati
on
.520**
.381**
.474**
.396**
.431**
.438**
.333**
.249**
.566**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .010 .000
N 106 106 106 106 106 106 106 106 106
X1.
7
Pearson
Correlati
on
.330**
.272**
.335**
.316**
.275**
.217*
.153 .231
*
.374**
Sig. (2-
tailed) .001 .005 .000 .001 .004 .025 .118 .017 .000
N 106 106 106 106 106 106 106 106 106
X1.
8
Pearson
Correlati
on
.368**
.299**
.262**
.361**
.170
.252**
.376**
.439**
.444**
40
Sig. (2-
tailed) .000 .002 .007 .000 .082 .009 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1 Pearson
Correlati
on
.621**
.550**
.520**
.559**
.457**
.460**
.448**
.513**
.726**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
1
Pearson
Correlati
on
.414**
.411**
.285**
.225*
.351**
.320**
.245*
.072 .408
**
Sig. (2-
tailed) .000 .000 .003 .020 .000 .001 .011 .461 .000
N 106 106 106 106 106 106 106 106 106
X2.
2
Pearson
Correlati
on
.432**
.397**
.266**
.393**
.373**
.226*
.333**
.200*
.460**
Sig. (2-
tailed) .000 .000 .006 .000 .000 .020 .000 .040 .000
N 106 106 106 106 106 106 106 106 106
X2.
3
Pearson
Correlati
on
.472**
.331**
.251**
.335**
.412**
.322**
.106 .081
.405**
Sig. (2-
tailed) .000 .001 .009 .000 .000 .001 .279 .412 .000
N 106 106 106 106 106 106 106 106 106
X2.
4
Pearson
Correlati
on
.545**
.440**
.481**
.467**
.398**
.437**
.470**
.321**
.625**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X2.
5
Pearson
Correlati
on
.421**
.536**
.455**
.476**
.380**
.316**
.308**
.469**
.592**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .001 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
6
Pearson
Correlati
on
.445**
.325**
.361**
.267**
.384**
.239*
.319**
.036
.417**
Sig. (2-
tailed) .000 .001 .000 .006 .000 .014 .001 .713 .000
N 106 106 106 106 106 106 106 106 106
41
X2.
7
Pearson
Correlati
on
.632**
.440**
.478**
.557**
.538**
.420**
.401**
.335**
.667**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
8
Pearson
Correlati
on
.648**
.447**
.370**
.458**
.334**
.384**
.239*
.218*
.544**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .014 .025 .000
N 106 106 106 106 106 106 106 106 106
X2 Pearson
Correlati
on
.716**
.595**
.527**
.568**
.566**
.476**
.433**
.310**
.736**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X3.
1
Pearson
Correlati
on
1 .601
**
.517**
.502**
.499**
.475**
.336**
.210*
.727**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .031 .000
N 106 106 106 106 106 106 106 106 106
X3.
2
Pearson
Correlati
on
.601**
1
.539**
.435**
.478**
.354**
.359**
.361**
.727**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
3
Pearson
Correlati
on
.517**
.539**
1
.439**
.659**
.566**
.548**
.183
.783**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .060 .000
N 106 106 106 106 106 106 106 106 106
X3.
4
Pearson
Correlati
on
.502**
.435**
.439**
1
.394**
.390**
.372**
.489**
.707**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
5
Pearson
Correlati
on
.499**
.478**
.659**
.394**
1
.601**
.535**
.158
.759**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .106 .000
42
N 106 106 106 106 106 106 106 106 106
X3.
6
Pearson
Correlati
on
.475**
.354**
.566**
.390**
.601**
1
.634**
.233*
.746**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .016 .000
N 106 106 106 106 106 106 106 106 106
X3.
7
Pearson
Correlati
on
.336**
.359**
.548**
.372**
.535**
.634**
1
.317**
.719**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X3.
8
Pearson
Correlati
on
.210*
.361**
.183
.489**
.158
.233*
.317**
1
.520**
Sig. (2-
tailed) .031 .000 .060 .000 .106 .016 .001 .000
N 106 106 106 106 106 106 106 106 106
X3 Pearson
Correlati
on
.727**
.727**
.783**
.707**
.759**
.746**
.719**
.520**
1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
1
Pearson
Correlati
on
.212*
.393**
.380**
.379**
.348**
.294**
.318**
.504**
.498**
Sig. (2-
tailed) .029 .000 .000 .000 .000 .002 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
2
Pearson
Correlati
on
.218*
.369**
.288**
.268**
.311**
.216*
.344**
.367**
.419**
Sig. (2-
tailed) .025 .000 .003 .006 .001 .026 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
3
Pearson
Correlati
on
.195*
.279**
.095
.373**
.065 .183
.199*
.431**
.321**
Sig. (2-
tailed) .046 .004 .331 .000 .507 .060 .041 .000 .001
N 106 106 106 106 106 106 106 106 106
X4.
4
Pearson
Correlati
on
.151 .330
**
.192*
.196*
.260**
.213*
.236*
.249*
.321**
43
Sig. (2-
tailed) .122 .001 .049 .044 .007 .029 .015 .010 .001
N 106 106 106 106 106 106 106 106 106
X4.
5
Pearson
Correlati
on
.261**
.395**
.237*
.417**
.259**
.142
.214*
.370**
.404**
Sig. (2-
tailed) .007 .000 .015 .000 .007 .147 .028 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
6
Pearson
Correlati
on
.240*
.294**
.191*
.385**
.157
.209*
.227*
.539**
.395**
Sig. (2-
tailed) .013 .002 .050 .000 .108 .031 .019 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
7
Pearson
Correlati
on
.320**
.416**
.329**
.489**
.216*
.261**
.285**
.551**
.505**
Sig. (2-
tailed) .001 .000 .001 .000 .026 .007 .003 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
8
Pearson
Correlati
on
.264**
.289**
.258**
.399**
.253**
.327**
.309**
.439**
.446**
Sig. (2-
tailed) .006 .003 .008 .000 .009 .001 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X4 Pearson
Correlati
on
.344**
.511**
.364**
.537**
.345**
.341**
.394**
.638**
.612**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
1
Pearson
Correlati
on
.319**
.414**
.229*
.393**
.132 .153
.197*
.473**
.407**
Sig. (2-
tailed) .001 .000 .018 .000 .176 .117 .043 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
2
Pearson
Correlati
on
.319**
.433**
.185
.280**
.144 .117
.249*
.553**
.402**
Sig. (2-
tailed) .001 .000 .058 .004 .142 .232 .010 .000 .000
N 106 106 106 106 106 106 106 106 106
44
X5.
3
Pearson
Correlati
on
.293**
.251**
.306**
.176
.256**
.334**
.255**
-
.048
.320**
Sig. (2-
tailed) .002 .009 .001 .071 .008 .000 .008 .626 .001
N 106 106 106 106 106 106 106 106 106
X5.
4
Pearson
Correlati
on
.191*
.279**
.190
.310**
.155
.278**
.354**
.326**
.366**
Sig. (2-
tailed) .050 .004 .052 .001 .114 .004 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X5.
5
Pearson
Correlati
on
.305**
.262**
.285**
.320**
.312**
.298**
.214*
.229*
.391**
Sig. (2-
tailed) .001 .007 .003 .001 .001 .002 .028 .018 .000
N 106 106 106 106 106 106 106 106 106
X5.
6
Pearson
Correlati
on
.421**
.316**
.257**
.379**
.279**
.412**
.328**
.330**
.478**
Sig. (2-
tailed) .000 .001 .008 .000 .004 .000 .001 .001 .000
N 106 106 106 106 106 106 106 106 106
X5.
7
Pearson
Correlati
on
.389**
.395**
.153
.461**
.228*
.156 .120 .435
**
.411**
Sig. (2-
tailed) .000 .000 .117 .000 .019 .110 .221 .000 .000
N 106 106 106 106 106 106 106 106 106
X5 Pearson
Correlati
on
.459**
.483**
.330**
.477**
.310**
.360**
.353**
.472**
.571**
Sig. (2-
tailed) .000 .000 .001 .000 .001 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
1
Pearson
Correlati
on
.452**
.458**
.393**
.444**
.358**
.324**
.341**
.321**
.544**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .001 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
Y1.
2
Pearson
Correlati
on
.566**
.400**
.425**
.481**
.376**
.495**
.299**
.349**
.596**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .002 .000 .000
45
N 106 106 106 106 106 106 106 106 106
Y1.
3
Pearson
Correlati
on
.509**
.401**
.327**
.426**
.292**
.428**
.283**
.344**
.529**
Sig. (2-
tailed) .000 .000 .001 .000 .002 .000 .003 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
4
Pearson
Correlati
on
.449**
.433**
.346**
.462**
.346**
.438**
.213*
.321**
.529**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .028 .001 .000
N 106 106 106 106 106 106 106 106 106
Y1.
5
Pearson
Correlati
on
.522**
.449**
.374**
.431**
.408**
.461**
.257**
.286**
.560**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .008 .003 .000
N 106 106 106 106 106 106 106 106 106
Y1.
6
Pearson
Correlati
on
.440**
.426**
.378**
.476**
.443**
.432**
.226*
.310**
.550**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .020 .001 .000
N 106 106 106 106 106 106 106 106 106
Y1.
7
Pearson
Correlati
on
.430**
.387**
.377**
.352**
.419**
.501**
.326**
.208*
.527**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .001 .032 .000
N 106 106 106 106 106 106 106 106 106
Y Pearson
Correlati
on
.560**
.491**
.436**
.511**
.439**
.512**
.323**
.356**
.638**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
46
X4.1 X4.2 X4.3 X4.4 X4.5 X4.6 X4.7 X4.8 X4
X1.
1
Pearson
Correlati
on
.253**
.282**
.239*
.148 .196
*
.334**
.380**
.365**
.406**
Sig. (2-
tailed) .009 .003 .013 .131 .045 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
2
Pearson
Correlati
on
.294**
.361**
.170 .099
.353**
.277**
.432**
.381**
.437**
Sig. (2-
tailed) .002 .000 .082 .314 .000 .004 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
3
Pearson
Correlati
on
.268**
.278**
.150 .150 .176 .172
.199*
.191 .293
**
Sig. (2-
tailed) .005 .004 .125 .124 .071 .078 .041 .050 .002
N 106 106 106 106 106 106 106 106 106
X1.
4
Pearson
Correlati
on
.149 .308
**
.204*
.185 .210
*
.354**
.207*
.081 .314
**
Sig. (2-
tailed) .128 .001 .036 .057 .030 .000 .033 .409 .001
N 106 106 106 106 106 106 106 106 106
X1.
5
Pearson
Correlati
on
.454**
.453**
.229*
.253**
.275**
.328**
.406**
.402**
.517**
Sig. (2-
tailed) .000 .000 .018 .009 .004 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.
6
Pearson
Correlati
on
.292**
.361**
.223*
.143 .163 .131 .256
**
.284**
.342**
Sig. (2-
tailed) .002 .000 .022 .145 .095 .182 .008 .003 .000
N 106 106 106 106 106 106 106 106 106
X1.
7
Pearson
Correlati
on
.270**
.263**
.137
.241*
.284**
.232*
.241*
.292**
.362**
Sig. (2-
tailed) .005 .006 .162 .013 .003 .017 .013 .002 .000
N 106 106 106 106 106 106 106 106 106
X1.
8
Pearson
Correlati
on
.277**
.231*
.256**
.154
.216*
.496**
.456**
.359**
.452**
47
Sig. (2-
tailed) .004 .017 .008 .114 .026 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1 Pearson
Correlati
on
.435**
.490**
.311**
.266**
.362**
.452**
.499**
.455**
.604**
Sig. (2-
tailed) .000 .000 .001 .006 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
1
Pearson
Correlati
on
.137 .219
*
-
.020 .151
.224*
.162 .185 .286
**
.248*
Sig. (2-
tailed) .160 .024 .837 .123 .021 .097 .057 .003 .010
N 106 106 106 106 106 106 106 106 106
X2.
2
Pearson
Correlati
on
.352**
.261**
.222*
.165 .333
**
.322**
.297**
.366**
.429**
Sig. (2-
tailed) .000 .007 .022 .090 .000 .001 .002 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
3
Pearson
Correlati
on
.237*
.172 .163 .108 .135 .104 .162 .166 .231
*
Sig. (2-
tailed) .015 .077 .094 .272 .167 .287 .097 .088 .017
N 106 106 106 106 106 106 106 106 106
X2.
4
Pearson
Correlati
on
.337**
.369**
.403**
.244*
.254**
.197*
.314**
.327**
.452**
Sig. (2-
tailed) .000 .000 .000 .012 .008 .043 .001 .001 .000
N 106 106 106 106 106 106 106 106 106
X2.
5
Pearson
Correlati
on
.235*
.446**
.294**
.320**
.367**
.267**
.503**
.333**
.511**
Sig. (2-
tailed) .015 .000 .002 .001 .000 .006 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
6
Pearson
Correlati
on
.122 .303
**
.205*
.218*
.054 .003 .104 .133 .211
*
Sig. (2-
tailed) .214 .002 .035 .025 .579 .972 .289 .174 .030
N 106 106 106 106 106 106 106 106 106
48
X2.
7
Pearson
Correlati
on
.393**
.338**
.286**
.257**
.217*
.275**
.330**
.363**
.455**
Sig. (2-
tailed) .000 .000 .003 .008 .025 .004 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.
8
Pearson
Correlati
on
.173 .273
**
.266**
.116
.215*
.120 .266
**
.354**
.330**
Sig. (2-
tailed) .076 .005 .006 .237 .027 .222 .006 .000 .001
N 106 106 106 106 106 106 106 106 106
X2 Pearson
Correlati
on
.355**
.426**
.325**
.282**
.322**
.259**
.387**
.417**
.512**
Sig. (2-
tailed) .000 .000 .001 .003 .001 .007 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
1
Pearson
Correlati
on
.212*
.218*
.195*
.151 .261
**
.240*
.320**
.264**
.344**
Sig. (2-
tailed) .029 .025 .046 .122 .007 .013 .001 .006 .000
N 106 106 106 106 106 106 106 106 106
X3.
2
Pearson
Correlati
on
.393**
.369**
.279**
.330**
.395**
.294**
.416**
.289**
.511**
Sig. (2-
tailed) .000 .000 .004 .001 .000 .002 .000 .003 .000
N 106 106 106 106 106 106 106 106 106
X3.
3
Pearson
Correlati
on
.380**
.288**
.095
.192*
.237*
.191*
.329**
.258**
.364**
Sig. (2-
tailed) .000 .003 .331 .049 .015 .050 .001 .008 .000
N 106 106 106 106 106 106 106 106 106
X3.
4
Pearson
Correlati
on
.379**
.268**
.373**
.196*
.417**
.385**
.489**
.399**
.537**
Sig. (2-
tailed) .000 .006 .000 .044 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.
5
Pearson
Correlati
on
.348**
.311**
.065
.260**
.259**
.157
.216*
.253**
.345**
Sig. (2-
tailed) .000 .001 .507 .007 .007 .108 .026 .009 .000
49
N 106 106 106 106 106 106 106 106 106
X3.
6
Pearson
Correlati
on
.294**
.216*
.183 .213
*
.142 .209
*
.261**
.327**
.341**
Sig. (2-
tailed) .002 .026 .060 .029 .147 .031 .007 .001 .000
N 106 106 106 106 106 106 106 106 106
X3.
7
Pearson
Correlati
on
.318**
.344**
.199*
.236*
.214*
.227*
.285**
.309**
.394**
Sig. (2-
tailed) .001 .000 .041 .015 .028 .019 .003 .001 .000
N 106 106 106 106 106 106 106 106 106
X3.
8
Pearson
Correlati
on
.504**
.367**
.431**
.249*
.370**
.539**
.551**
.439**
.638**
Sig. (2-
tailed) .000 .000 .000 .010 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3 Pearson
Correlati
on
.498**
.419**
.321**
.321**
.404**
.395**
.505**
.446**
.612**
Sig. (2-
tailed) .000 .000 .001 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
1
Pearson
Correlati
on
1 .363
**
.335**
.255**
.375**
.421**
.403**
.501**
.675**
Sig. (2-
tailed) .000 .000 .008 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
2
Pearson
Correlati
on
.363**
1
.346**
.268**
.346**
.214*
.381**
.361**
.605**
Sig. (2-
tailed) .000 .000 .005 .000 .028 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
3
Pearson
Correlati
on
.335**
.346**
1
.502**
.231*
.233*
.413**
.418**
.644**
Sig. (2-
tailed) .000 .000 .000 .017 .016 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
4
Pearson
Correlati
on
.255**
.268**
.502**
1
.206*
.260**
.259**
.290**
.563**
50
Sig. (2-
tailed) .008 .005 .000 .034 .007 .007 .003 .000
N 106 106 106 106 106 106 106 106 106
X4.
5
Pearson
Correlati
on
.375**
.346**
.231*
.206*
1 .490
**
.627**
.539**
.706**
Sig. (2-
tailed) .000 .000 .017 .034 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
6
Pearson
Correlati
on
.421**
.214*
.233*
.260**
.490**
1
.572**
.437**
.671**
Sig. (2-
tailed) .000 .028 .016 .007 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
7
Pearson
Correlati
on
.403**
.381**
.413**
.259**
.627**
.572**
1
.572**
.781**
Sig. (2-
tailed) .000 .000 .000 .007 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.
8
Pearson
Correlati
on
.501**
.361**
.418**
.290**
.539**
.437**
.572**
1
.762**
Sig. (2-
tailed) .000 .000 .000 .003 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4 Pearson
Correlati
on
.675**
.605**
.644**
.563**
.706**
.671**
.781**
.762**
1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
1
Pearson
Correlati
on
.344**
.270**
.325**
.376**
.403**
.471**
.474**
.420**
.570**
Sig. (2-
tailed) .000 .005 .001 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
2
Pearson
Correlati
on
.336**
.313**
.371**
.264**
.400**
.570**
.471**
.468**
.591**
Sig. (2-
tailed) .000 .001 .000 .006 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
51
X5.
3
Pearson
Correlati
on
-
.050 .069
-
.005 .095 .000 .131 .104 .124 .086
Sig. (2-
tailed) .609 .480 .956 .332
1.00
0 .181 .288 .206 .379
N 106 106 106 106 106 106 106 106 106
X5.
4
Pearson
Correlati
on
.224*
.338**
.335**
.394**
.267**
.223*
.497**
.352**
.486**
Sig. (2-
tailed) .021 .000 .000 .000 .006 .022 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
5
Pearson
Correlati
on
.275**
.287**
.156 .113
.243*
.260**
.235*
.300**
.345**
Sig. (2-
tailed) .004 .003 .109 .250 .012 .007 .016 .002 .000
N 106 106 106 106 106 106 106 106 106
X5.
6
Pearson
Correlati
on
.153 .263
**
.237*
.323**
.261**
.344**
.397**
.401**
.440**
Sig. (2-
tailed) .117 .006 .014 .001 .007 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.
7
Pearson
Correlati
on
.269**
.385**
.350**
.317**
.435**
.359**
.483**
.376**
.550**
Sig. (2-
tailed) .005 .000 .000 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5 Pearson
Correlati
on
.319**
.396**
.363**
.387**
.413**
.484**
.547**
.501**
.631**
Sig. (2-
tailed) .001 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
1
Pearson
Correlati
on
.313**
.439**
.367**
.292**
.361**
.283**
.463**
.433**
.545**
Sig. (2-
tailed) .001 .000 .000 .002 .000 .003 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
2
Pearson
Correlati
on
.279**
.325**
.295**
.171
.261**
.159
.352**
.373**
.410**
Sig. (2-
tailed) .004 .001 .002 .079 .007 .103 .000 .000 .000
52
N 106 106 106 106 106 106 106 106 106
Y1.
3
Pearson
Correlati
on
.275**
.321**
.300**
.083 .157
.217*
.327**
.334**
.372**
Sig. (2-
tailed) .004 .001 .002 .400 .108 .025 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
4
Pearson
Correlati
on
.275**
.347**
.341**
.231*
.303**
.239*
.373**
.358**
.456**
Sig. (2-
tailed) .004 .000 .000 .017 .002 .014 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
5
Pearson
Correlati
on
.279**
.324**
.280**
.224*
.279**
.289**
.398**
.337**
.446**
Sig. (2-
tailed) .004 .001 .004 .021 .004 .003 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Y1.
6
Pearson
Correlati
on
.272**
.319**
.170 .165
.384**
.421**
.382**
.331**
.451**
Sig. (2-
tailed) .005 .001 .081 .092 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
Y1.
7
Pearson
Correlati
on
.212*
.350**
.092 .135
.267**
.225*
.331**
.230*
.340**
Sig. (2-
tailed) .029 .000 .347 .166 .006 .020 .001 .018 .000
N 106 106 106 106 106 106 106 106 106
Y Pearson
Correlati
on
.317**
.403**
.307**
.216*
.335**
.305**
.437**
.399**
.503**
Sig. (2-
tailed) .001 .000 .001 .026 .000 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
53
X5.1 X5.2 X5.3 X5.4 X5.5 X5.6 X5.7 X5
X1.
1
Pearson
Correlatio
n
.388*
*
.491*
*
.221*
.254*
*
.251*
*
.390*
*
.347*
*
.481*
*
Sig. (2-
tailed) .000 .000 .023 .009 .010 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.
2
Pearson
Correlatio
n
.369*
*
.403*
*
.143 .273
*
*
.257*
*
.363*
*
.442*
*
.462*
*
Sig. (2-
tailed) .000 .000 .144 .005 .008 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.
3
Pearson
Correlatio
n
.217* .224
*
.286*
*
.148 .186 .296
*
*
.287*
*
.338*
*
Sig. (2-
tailed) .026 .021 .003 .130 .056 .002 .003 .000
N 106 106 106 106 106 106 106 106
X1.
4
Pearson
Correlatio
n
.229* .227
* .140
.261*
*
.195*
.255*
*
.348*
*
.340*
*
Sig. (2-
tailed) .018 .019 .151 .007 .045 .008 .000 .000
N 106 106 106 106 106 106 106 106
X1.
5
Pearson
Correlatio
n
.403*
*
.361*
*
.264*
*
.324*
*
.266*
*
.282*
*
.358*
*
.464*
*
Sig. (2-
tailed) .000 .000 .006 .001 .006 .003 .000 .000
N 106 106 106 106 106 106 106 106
X1.
6
Pearson
Correlatio
n
.349*
*
.346*
*
.190 .252
*
*
.380*
*
.383*
*
.415*
*
.476*
*
Sig. (2-
tailed) .000 .000 .051 .009 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.
7
Pearson
Correlatio
n
.400*
*
.305*
*
.222* .196
*
.328*
*
.269*
*
.288*
*
.412*
*
Sig. (2-
tailed) .000 .001 .022 .044 .001 .005 .003 .000
N 106 106 106 106 106 106 106 106
X1.
8
Pearson
Correlatio
n
.513*
*
.590*
*
.345*
*
.288*
*
.314*
*
.376*
*
.355*
*
.571*
*
54
Sig. (2-
tailed) .000 .000 .000 .003 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1 Pearson
Correlatio
n
.555*
*
.571*
*
.350*
*
.386*
*
.421*
*
.505*
*
.549*
*
.686*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X2.
1
Pearson
Correlatio
n
.224* .165
.397*
*
.123 .110 .307
*
*
.178 .309
*
*
Sig. (2-
tailed) .021 .091 .000 .210 .260 .001 .068 .001
N 106 106 106 106 106 106 106 106
X2.
2
Pearson
Correlatio
n
.152 .210*
.272*
*
.127 .147 .259
*
*
.250*
*
.291*
*
Sig. (2-
tailed) .121 .031 .005 .194 .132 .007 .010 .002
N 106 106 106 106 106 106 106 106
X2.
3
Pearson
Correlatio
n
.001 .040 .288
*
*
.000 .150 .278
*
*
.209* .198
*
Sig. (2-
tailed) .991 .687 .003 .999 .125 .004 .032 .042
N 106 106 106 106 106 106 106 106
X2.
4
Pearson
Correlatio
n
.240* .196
*
.262*
*
.326*
*
.179 .335
*
*
.198*
.357*
*
Sig. (2-
tailed) .013 .044 .007 .001 .066 .000 .042 .000
N 106 106 106 106 106 106 106 106
X2.
5
Pearson
Correlatio
n
.399*
*
.341*
*
.235*
.352*
*
.251*
*
.324*
*
.352*
*
.463*
*
Sig. (2-
tailed) .000 .000 .015 .000 .010 .001 .000 .000
N 106 106 106 106 106 106 106 106
X2.
6
Pearson
Correlatio
n
.088 .023 .334
*
*
.203* .072 .161 .077 .197
*
Sig. (2-
tailed) .370 .813 .000 .037 .463 .099 .433 .043
N 106 106 106 106 106 106 106 106
55
X2.
7
Pearson
Correlatio
n
.229* .247
*
.293*
*
.233*
.264*
*
.435*
*
.313*
*
.414*
*
Sig. (2-
tailed) .018 .011 .002 .016 .006 .000 .001 .000
N 106 106 106 106 106 106 106 106
X2.
8
Pearson
Correlatio
n
.236*
.364*
*
.391*
*
.098 .352
*
*
.412*
*
.376*
*
.458*
*
Sig. (2-
tailed) .015 .000 .000 .317 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X2 Pearson
Correlatio
n
.281*
*
.284*
*
.442*
*
.261*
*
.273*
*
.449*
*
.349*
*
.481*
*
Sig. (2-
tailed) .004 .003 .000 .007 .005 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
1
Pearson
Correlatio
n
.319*
*
.319*
*
.293*
*
.191*
.305*
*
.421*
*
.389*
*
.459*
*
Sig. (2-
tailed) .001 .001 .002 .050 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
2
Pearson
Correlatio
n
.414*
*
.433*
*
.251*
*
.279*
*
.262*
*
.316*
*
.395*
*
.483*
*
Sig. (2-
tailed) .000 .000 .009 .004 .007 .001 .000 .000
N 106 106 106 106 106 106 106 106
X3.
3
Pearson
Correlatio
n
.229* .185
.306*
*
.190 .285
*
*
.257*
*
.153 .330
*
*
Sig. (2-
tailed) .018 .058 .001 .052 .003 .008 .117 .001
N 106 106 106 106 106 106 106 106
X3.
4
Pearson
Correlatio
n
.393*
*
.280*
*
.176 .310
*
*
.320*
*
.379*
*
.461*
*
.477*
*
Sig. (2-
tailed) .000 .004 .071 .001 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
5
Pearson
Correlatio
n
.132 .144 .256
*
*
.155 .312
*
*
.279*
*
.228*
.310*
*
Sig. (2-
tailed) .176 .142 .008 .114 .001 .004 .019 .001
56
N 106 106 106 106 106 106 106 106
X3.
6
Pearson
Correlatio
n
.153 .117 .334
*
*
.278*
*
.298*
*
.412*
*
.156 .360
*
*
Sig. (2-
tailed) .117 .232 .000 .004 .002 .000 .110 .000
N 106 106 106 106 106 106 106 106
X3.
7
Pearson
Correlatio
n
.197* .249
*
.255*
*
.354*
*
.214*
.328*
*
.120 .353
*
*
Sig. (2-
tailed) .043 .010 .008 .000 .028 .001 .221 .000
N 106 106 106 106 106 106 106 106
X3.
8
Pearson
Correlatio
n
.473*
*
.553*
*
-.048 .326
*
*
.229*
.330*
*
.435*
*
.472*
*
Sig. (2-
tailed) .000 .000 .626 .001 .018 .001 .000 .000
N 106 106 106 106 106 106 106 106
X3 Pearson
Correlatio
n
.407*
*
.402*
*
.320*
*
.366*
*
.391*
*
.478*
*
.411*
*
.571*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4.
1
Pearson
Correlatio
n
.344*
*
.336*
*
-.050 .224*
.275*
*
.153 .269
*
*
.319*
*
Sig. (2-
tailed) .000 .000 .609 .021 .004 .117 .005 .001
N 106 106 106 106 106 106 106 106
X4.
2
Pearson
Correlatio
n
.270*
*
.313*
*
.069 .338
*
*
.287*
*
.263*
*
.385*
*
.396*
*
Sig. (2-
tailed) .005 .001 .480 .000 .003 .006 .000 .000
N 106 106 106 106 106 106 106 106
X4.
3
Pearson
Correlatio
n
.325*
*
.371*
*
-.005 .335
*
*
.156 .237*
.350*
*
.363*
*
Sig. (2-
tailed) .001 .000 .956 .000 .109 .014 .000 .000
N 106 106 106 106 106 106 106 106
X4.
4
Pearson
Correlatio
n
.376*
*
.264*
*
.095 .394
*
*
.113 .323
*
*
.317*
*
.387*
*
57
Sig. (2-
tailed) .000 .006 .332 .000 .250 .001 .001 .000
N 106 106 106 106 106 106 106 106
X4.
5
Pearson
Correlatio
n
.403*
*
.400*
*
.000 .267
*
*
.243*
.261*
*
.435*
*
.413*
*
Sig. (2-
tailed) .000 .000 1.000 .006 .012 .007 .000 .000
N 106 106 106 106 106 106 106 106
X4.
6
Pearson
Correlatio
n
.471*
*
.570*
*
.131 .223*
.260*
*
.344*
*
.359*
*
.484*
*
Sig. (2-
tailed) .000 .000 .181 .022 .007 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4.
7
Pearson
Correlatio
n
.474*
*
.471*
*
.104 .497
*
*
.235*
.397*
*
.483*
*
.547*
*
Sig. (2-
tailed) .000 .000 .288 .000 .016 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4.
8
Pearson
Correlatio
n
.420*
*
.468*
*
.124 .352
*
*
.300*
*
.401*
*
.376*
*
.501*
*
Sig. (2-
tailed) .000 .000 .206 .000 .002 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4 Pearson
Correlatio
n
.570*
*
.591*
*
.086 .486
*
*
.345*
*
.440*
*
.550*
*
.631*
*
Sig. (2-
tailed) .000 .000 .379 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.
1
Pearson
Correlatio
n
1 .670
*
*
.277*
*
.458*
*
.342*
*
.523*
*
.594*
*
.793*
*
Sig. (2-
tailed) .000 .004 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.
2
Pearson
Correlatio
n
.670*
*
1 .179 .351
*
*
.343*
*
.477*
*
.561*
*
.734*
*
Sig. (2-
tailed) .000 .066 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
58
X5.
3
Pearson
Correlatio
n
.277*
*
.179 1 .082 .247*
.405*
*
.168 .485
*
*
Sig. (2-
tailed) .004 .066 .406 .011 .000 .085 .000
N 106 106 106 106 106 106 106 106
X5.
4
Pearson
Correlatio
n
.458*
*
.351*
*
.082 1 .219*
.488*
*
.441*
*
.626*
*
Sig. (2-
tailed) .000 .000 .406 .024 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.
5
Pearson
Correlatio
n
.342*
*
.343*
*
.247* .219
* 1
.472*
*
.459*
*
.635*
*
Sig. (2-
tailed) .000 .000 .011 .024 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.
6
Pearson
Correlatio
n
.523*
*
.477*
*
.405*
*
.488*
*
.472*
*
1 .585
*
*
.811*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.
7
Pearson
Correlatio
n
.594*
*
.561*
*
.168 .441
*
*
.459*
*
.585*
*
1 .783
*
*
Sig. (2-
tailed) .000 .000 .085 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5 Pearson
Correlatio
n
.793*
*
.734*
*
.485*
*
.626*
*
.635*
*
.811*
*
.783*
*
1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
1
Pearson
Correlatio
n
.480*
*
.510*
*
.195*
.452*
*
.378*
*
.568*
*
.500*
*
.633*
*
Sig. (2-
tailed) .000 .000 .045 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
2
Pearson
Correlatio
n
.344*
*
.382*
*
.345*
*
.333*
*
.464*
*
.578*
*
.485*
*
.603*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
59
N 106 106 106 106 106 106 106 106
Y1.
3
Pearson
Correlatio
n
.330*
*
.407*
*
.403*
*
.326*
*
.482*
*
.661*
*
.490*
*
.637*
*
Sig. (2-
tailed) .001 .000 .000 .001 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
4
Pearson
Correlatio
n
.378*
*
.346*
*
.288*
*
.382*
*
.485*
*
.630*
*
.513*
*
.621*
*
Sig. (2-
tailed) .000 .000 .003 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
5
Pearson
Correlatio
n
.427*
*
.399*
*
.207*
.470*
*
.525*
*
.590*
*
.486*
*
.638*
*
Sig. (2-
tailed) .000 .000 .034 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
6
Pearson
Correlatio
n
.444*
*
.449*
*
.316*
*
.356*
*
.500*
*
.523*
*
.537*
*
.642*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
7
Pearson
Correlatio
n
.320*
*
.332*
*
.384*
*
.378*
*
.325*
*
.526*
*
.320*
*
.531*
*
Sig. (2-
tailed) .001 .001 .000 .000 .001 .000 .001 .000
N 106 106 106 106 106 106 106 106
Y Pearson
Correlatio
n
.453*
*
.470*
*
.356*
*
.449*
*
.525*
*
.678*
*
.554*
*
.716*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
60
Y1.1 Y1.2 Y1.3 Y1.4 Y1.5 Y1.6 Y1.7 Y
X1.
1
Pearson
Correlatio
n
.526*
*
.528*
*
.432*
*
.455*
*
.418*
*
.522*
*
.407*
*
.547*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.
2
Pearson
Correlatio
n
.493*
*
.485*
*
.448*
*
.454*
*
.347*
*
.522*
*
.476*
*
.536*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.
3
Pearson
Correlatio
n
.411*
*
.363*
*
.365*
*
.301*
*
.349*
*
.336*
*
.349*
*
.411*
*
Sig. (2-
tailed) .000 .000 .000 .002 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.
4
Pearson
Correlatio
n
.312*
*
.332*
*
.279*
*
.231*
.268*
*
.285*
*
.171 .312
*
*
Sig. (2-
tailed) .001 .001 .004 .017 .005 .003 .079 .001
N 106 106 106 106 106 106 106 106
X1.
5
Pearson
Correlatio
n
.497*
*
.389*
*
.328*
*
.310*
*
.357*
*
.365*
*
.319*
*
.427*
*
Sig. (2-
tailed) .000 .000 .001 .001 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106
X1.
6
Pearson
Correlatio
n
.528*
*
.618*
*
.540*
*
.429*
*
.485*
*
.440*
*
.418*
*
.575*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.
7
Pearson
Correlatio
n
.296*
*
.222* .182 .224
*
.374*
*
.204* .109
.268*
*
Sig. (2-
tailed) .002 .022 .061 .021 .000 .036 .265 .005
N 106 106 106 106 106 106 106 106
X1.
8
Pearson
Correlatio
n
.456*
*
.418*
*
.390*
*
.248*
.297*
*
.373*
*
.350*
*
.421*
*
61
Sig. (2-
tailed) .000 .000 .000 .010 .002 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1 Pearson
Correlatio
n
.679*
*
.647*
*
.572*
*
.511*
*
.559*
*
.589*
*
.502*
*
.675*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X2.
1
Pearson
Correlatio
n
.279*
*
.307*
*
.241*
.269*
*
.213*
.276*
*
.339*
*
.320*
*
Sig. (2-
tailed) .004 .001 .013 .005 .028 .004 .000 .001
N 106 106 106 106 106 106 106 106
X2.
2
Pearson
Correlatio
n
.259*
*
.167 .189 .183 .098 .246* .234
* .229
*
Sig. (2-
tailed) .007 .087 .052 .061 .317 .011 .016 .018
N 106 106 106 106 106 106 106 106
X2.
3
Pearson
Correlatio
n
.188 .335
*
*
.308*
*
.337*
*
.274*
*
.313*
*
.413*
*
.360*
*
Sig. (2-
tailed) .054 .000 .001 .000 .005 .001 .000 .000
N 106 106 106 106 106 106 106 106
X2.
4
Pearson
Correlatio
n
.425*
*
.463*
*
.485*
*
.384*
*
.371*
*
.290*
*
.369*
*
.464*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .003 .000 .000
N 106 106 106 106 106 106 106 106
X2.
5
Pearson
Correlatio
n
.467*
*
.386*
*
.306*
*
.419*
*
.388*
*
.321*
*
.340*
*
.437*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106
X2.
6
Pearson
Correlatio
n
.267*
*
.236* .225
* .216
* .231
* .232
* .221
*
.271*
*
Sig. (2-
tailed) .006 .015 .020 .026 .017 .017 .023 .005
N 106 106 106 106 106 106 106 106
62
X2.
7
Pearson
Correlatio
n
.442*
*
.538*
*
.525*
*
.464*
*
.439*
*
.477*
*
.485*
*
.561*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X2.
8
Pearson
Correlatio
n
.446*
*
.577*
*
.550*
*
.432*
*
.424*
*
.444*
*
.482*
*
.558*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X2 Pearson
Correlatio
n
.496*
*
.538*
*
.506*
*
.483*
*
.436*
*
.464*
*
.515*
*
.572*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
1
Pearson
Correlatio
n
.452*
*
.566*
*
.509*
*
.449*
*
.522*
*
.440*
*
.430*
*
.560*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
2
Pearson
Correlatio
n
.458*
*
.400*
*
.401*
*
.433*
*
.449*
*
.426*
*
.387*
*
.491*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
3
Pearson
Correlatio
n
.393*
*
.425*
*
.327*
*
.346*
*
.374*
*
.378*
*
.377*
*
.436*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
4
Pearson
Correlatio
n
.444*
*
.481*
*
.426*
*
.462*
*
.431*
*
.476*
*
.352*
*
.511*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
5
Pearson
Correlatio
n
.358*
*
.376*
*
.292*
*
.346*
*
.408*
*
.443*
*
.419*
*
.439*
*
Sig. (2-
tailed) .000 .000 .002 .000 .000 .000 .000 .000
63
N 106 106 106 106 106 106 106 106
X3.
6
Pearson
Correlatio
n
.324*
*
.495*
*
.428*
*
.438*
*
.461*
*
.432*
*
.501*
*
.512*
*
Sig. (2-
tailed) .001 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.
7
Pearson
Correlatio
n
.341*
*
.299*
*
.283*
*
.213*
.257*
*
.226*
.326*
*
.323*
*
Sig. (2-
tailed) .000 .002 .003 .028 .008 .020 .001 .001
N 106 106 106 106 106 106 106 106
X3.
8
Pearson
Correlatio
n
.321*
*
.349*
*
.344*
*
.321*
*
.286*
*
.310*
*
.208*
.356*
*
Sig. (2-
tailed) .001 .000 .000 .001 .003 .001 .032 .000
N 106 106 106 106 106 106 106 106
X3 Pearson
Correlatio
n
.544*
*
.596*
*
.529*
*
.529*
*
.560*
*
.550*
*
.527*
*
.638*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4.
1
Pearson
Correlatio
n
.313*
*
.279*
*
.275*
*
.275*
*
.279*
*
.272*
*
.212*
.317*
*
Sig. (2-
tailed) .001 .004 .004 .004 .004 .005 .029 .001
N 106 106 106 106 106 106 106 106
X4.
2
Pearson
Correlatio
n
.439*
*
.325*
*
.321*
*
.347*
*
.324*
*
.319*
*
.350*
*
.403*
*
Sig. (2-
tailed) .000 .001 .001 .000 .001 .001 .000 .000
N 106 106 106 106 106 106 106 106
X4.
3
Pearson
Correlatio
n
.367*
*
.295*
*
.300*
*
.341*
*
.280*
*
.170 .092 .307
*
*
Sig. (2-
tailed) .000 .002 .002 .000 .004 .081 .347 .001
N 106 106 106 106 106 106 106 106
X4.
4
Pearson
Correlatio
n
.292*
*
.171 .083 .231* .224
* .165 .135 .216
*
64
Sig. (2-
tailed) .002 .079 .400 .017 .021 .092 .166 .026
N 106 106 106 106 106 106 106 106
X4.
5
Pearson
Correlatio
n
.361*
*
.261*
*
.157 .303
*
*
.279*
*
.384*
*
.267*
*
.335*
*
Sig. (2-
tailed) .000 .007 .108 .002 .004 .000 .006 .000
N 106 106 106 106 106 106 106 106
X4.
6
Pearson
Correlatio
n
.283*
*
.159 .217* .239
*
.289*
*
.421*
*
.225*
.305*
*
Sig. (2-
tailed) .003 .103 .025 .014 .003 .000 .020 .001
N 106 106 106 106 106 106 106 106
X4.
7
Pearson
Correlatio
n
.463*
*
.352*
*
.327*
*
.373*
*
.398*
*
.382*
*
.331*
*
.437*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106
X4.
8
Pearson
Correlatio
n
.433*
*
.373*
*
.334*
*
.358*
*
.337*
*
.331*
*
.230*
.399*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .001 .018 .000
N 106 106 106 106 106 106 106 106
X4 Pearson
Correlatio
n
.545*
*
.410*
*
.372*
*
.456*
*
.446*
*
.451*
*
.340*
*
.503*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.
1
Pearson
Correlatio
n
.480*
*
.344*
*
.330*
*
.378*
*
.427*
*
.444*
*
.320*
*
.453*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106
X5.
2
Pearson
Correlatio
n
.510*
*
.382*
*
.407*
*
.346*
*
.399*
*
.449*
*
.332*
*
.470*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106
65
X5.
3
Pearson
Correlatio
n
.195*
.345*
*
.403*
*
.288*
*
.207*
.316*
*
.384*
*
.356*
*
Sig. (2-
tailed) .045 .000 .000 .003 .034 .001 .000 .000
N 106 106 106 106 106 106 106 106
X5.
4
Pearson
Correlatio
n
.452*
*
.333*
*
.326*
*
.382*
*
.470*
*
.356*
*
.378*
*
.449*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.
5
Pearson
Correlatio
n
.378*
*
.464*
*
.482*
*
.485*
*
.525*
*
.500*
*
.325*
*
.525*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106
X5.
6
Pearson
Correlatio
n
.568*
*
.578*
*
.661*
*
.630*
*
.590*
*
.523*
*
.526*
*
.678*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.
7
Pearson
Correlatio
n
.500*
*
.485*
*
.490*
*
.513*
*
.486*
*
.537*
*
.320*
*
.554*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106
X5 Pearson
Correlatio
n
.633*
*
.603*
*
.637*
*
.621*
*
.638*
*
.642*
*
.531*
*
.716*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
1
Pearson
Correlatio
n
1 .702
*
*
.634*
*
.719*
*
.665*
*
.618*
*
.574*
*
.817*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
2
Pearson
Correlatio
n
.702*
*
1 .831
*
*
.796*
*
.718*
*
.641*
*
.637*
*
.886*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
66
N 106 106 106 106 106 106 106 106
Y1.
3
Pearson
Correlatio
n
.634*
*
.831*
*
1 .748
*
*
.669*
*
.581*
*
.635*
*
.848*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
4
Pearson
Correlatio
n
.719*
*
.796*
*
.748*
*
1 .794
*
*
.744*
*
.695*
*
.914*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
5
Pearson
Correlatio
n
.665*
*
.718*
*
.669*
*
.794*
*
1 .768
*
*
.674*
*
.880*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
6
Pearson
Correlatio
n
.618*
*
.641*
*
.581*
*
.744*
*
.768*
*
1 .721
*
*
.844*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y1.
7
Pearson
Correlatio
n
.574*
*
.637*
*
.635*
*
.695*
*
.674*
*
.721*
*
1 .821
*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Y Pearson
Correlatio
n
.817*
*
.886*
*
.848*
*
.914*
*
.880*
*
.844*
*
.821*
*
1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
67
Uji Reliabilitas
Case Processing Summary
N %
Cases Valid 106 100.0
Excludeda 0 0.0
Total 106 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.937 47
68
Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
Unstandardized Residual
N 106
Normal Parametersa,b Mean .0000000
Std. Deviation 3.42171571
Most Extreme Differences Absolute .077
Positive .046
Negative -.077
Test Statistic .077
Asymp. Sig. (2-tailed) .144c
a. Test distribution is Normal.
b. Calculated from data.
c. Lilliefors Significance Correction.
69
Koefisen Regresi Berganda
Coefficientsa
Model Unstandardized
Coefficients
Standardized Coefficients Colinearity
Statistics
B Std.Erro
r
Beta t Sig. Toler
ance
VIF
(Constant
)
-
5.329
2.817 -1.892 .061
X1 .202 .130 .168 1.558 .122 .332 2.010
X2 .130 .104 .121 1.259 .211 .416 2.406
X3 .225 .116 .208 1.940 .055 .335 2.987
X4 -.103 .098 -.093 -1.057 .293 .501 1.996
X5 .599 .144 .483 5.245 .000 .455 2.200
a. Dependent Variabel:Y
70
Koefisien Determinasi
Model Summaryb
Model R R Square Adjusted
R Square
Std. Error
of the
Estimate
Durbin-
Watson
1 .784a .615 .595 3.506215 1.928
a. Predictors: (Constant),X5,X2,X4,X3,X1
b. Dependent Variabel: Y
71
Nonparametic Correlations
X1.1 X1.2 X1.3 X1.4 X1.5 X1.6 X1.7 X1.8 X1
X1.1 Pearson
Correlati
on
1 .535*
*
.258*
* .223*
.363*
*
.374*
* .198*
.460*
*
.661*
*
Sig. (2-
tailed) .000 .008 .021 .000 .000 .042 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.2 Pearson
Correlation
.535*
* 1
.364*
* .215*
.319*
*
.351*
* .142
.379*
*
.638*
*
Sig. (2-tailed)
.000 .000 .027 .001 .000 .146 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.3 Pearson Correlati
on
.258*
* .364*
* 1
.369*
* .413*
* .422*
* .119
.257*
* .616*
*
Sig. (2-
tailed) .008 .000 .000 .000 .000 .226 .008 .000
N 106 106 106 106 106 106 106 106 106
X1.4 Pearson
Correlati
on
.223* .215* .369*
* 1
.368*
*
.378*
* .208*
.279*
*
.589*
*
Sig. (2-
tailed) .021 .027 .000 .000 .000 .032 .004 .000
N 106 106 106 106 106 106 106 106 106
X1.5 Pearson
Correlati
on
.363*
*
.319*
*
.413*
*
.368*
* 1
.551*
*
.494*
*
.417*
*
.757*
*
Sig. (2-
tailed) .000 .001 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.6 Pearson
Correlation
.374*
* .351*
* .422*
* .378*
* .551*
* 1
.347*
* .405*
* .737*
*
Sig. (2-tailed)
.000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.7 Pearson
Correlati
on
.198* .142 .119 .208* .494*
*
.347*
* 1 .184
.520*
*
Sig. (2-
tailed) .042 .146 .226 .032 .000 .000 .059 .000
N 106 106 106 106 106 106 106 106 106
X1.8 Pearson
Correlati
on
.460*
*
.379*
*
.257*
*
.279*
*
.417*
*
.405*
* .184 1
.656*
*
Sig. (2-
tailed) .000 .000 .008 .004 .000 .000 .059 .000
N 106 106 106 106 106 106 106 106 106
X1 Pearson
Correlati
on
.661*
*
.638*
*
.616*
*
.589*
*
.757*
*
.737*
*
.520*
*
.656*
* 1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
72
N 106 106 106 106 106 106 106 106 106
X2.1 Pearson
Correlati
on
.292*
* .188
.429*
*
.295*
*
.358*
*
.274*
* .058
.290*
*
.422*
*
Sig. (2-
tailed) .002 .053 .000 .002 .000 .004 .555 .003 .000
N 106 106 106 106 106 106 106 106 106
X2.2 Pearson
Correlation
.172 .235* .461*
*
.271*
*
.389*
* .191 .076
.295*
*
.404*
*
Sig. (2-tailed)
.078 .015 .000 .005 .000 .050 .439 .002 .000
N 106 106 106 106 106 106 106 106 106
X2.3 Pearson Correlati
on
.254*
* .194*
.330*
* .230* .217* .239* .115 .134
.330*
*
Sig. (2-
tailed) .009 .047 .001 .018 .026 .014 .242 .170 .001
N 106 106 106 106 106 106 106 106 106
X2.4 Pearson
Correlati
on
.390*
*
.261*
*
.410*
*
.291*
*
.425*
*
.406*
*
.263*
*
.342*
*
.538*
*
Sig. (2-
tailed) .000 .007 .000 .002 .000 .000 .006 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.5 Pearson
Correlati
on
.390*
*
.276*
*
.291*
*
.283*
*
.448*
*
.294*
*
.342*
*
.339*
*
.515*
*
Sig. (2-
tailed) .000 .004 .002 .003 .000 .002 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.6 Pearson
Correlation
.241* .189 .325*
* .235*
.339*
*
.249*
* .239* .242*
.398*
*
Sig. (2-tailed)
.013 .052 .001 .015 .000 .010 .014 .013 .000
N 106 106 106 106 106 106 106 106 106
X2.7 Pearson Correlati
on
.359*
*
.383*
*
.421*
*
.323*
*
.445*
*
.394*
* .207*
.454*
*
.577*
*
Sig. (2-
tailed) .000 .000 .000 .001 .000 .000 .033 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.8 Pearson
Correlati
on
.438*
*
.299*
*
.421*
*
.270*
*
.475*
*
.481*
*
.263*
*
.374*
*
.583*
*
Sig. (2-
tailed) .000 .002 .000 .005 .000 .000 .007 .000 .000
N 106 106 106 106 106 106 106 106 106
X2 Pearson
Correlati
on
.453*
*
.362*
*
.552*
*
.393*
*
.553*
*
.452*
*
.279*
*
.442*
*
.673*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .004 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.1 Pearson
Correlation
.396*
* .326*
* .460*
* .321*
* .494*
* .520*
* .330*
* .368*
* .621*
*
73
Sig. (2-
tailed) .000 .001 .000 .001 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.2 Pearson
Correlati
on
.340*
*
.378*
*
.455*
*
.260*
*
.468*
*
.381*
*
.272*
*
.299*
*
.550*
*
Sig. (2-
tailed) .000 .000 .000 .007 .000 .000 .005 .002 .000
N 106 106 106 106 106 106 106 106 106
X3.3 Pearson
Correlation
.331*
*
.316*
*
.345*
* .166
.468*
*
.474*
*
.335*
*
.262*
*
.520*
*
Sig. (2-tailed)
.001 .001 .000 .090 .000 .000 .000 .007 .000
N 106 106 106 106 106 106 106 106 106
X3.4 Pearson Correlati
on
.381*
* .368*
* .276*
* .361*
* .431*
* .396*
* .316*
* .361*
* .559*
*
Sig. (2-
tailed) .000 .000 .004 .000 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.5 Pearson
Correlati
on
.231* .310*
*
.344*
* .168
.444*
*
.431*
*
.275*
* .170
.457*
*
Sig. (2-
tailed) .017 .001 .000 .085 .000 .000 .004 .082 .000
N 106 106 106 106 106 106 106 106 106
X3.6 Pearson
Correlati
on
.371*
* .239* .219* .206*
.442*
*
.438*
* .217*
.252*
*
.460*
*
Sig. (2-
tailed) .000 .014 .024 .034 .000 .000 .025 .009 .000
N 106 106 106 106 106 106 106 106 106
X3.7 Pearson
Correlation
.257*
* .262*
* .333*
* .204*
.402*
* .333*
* .153
.376*
* .448*
*
Sig. (2-tailed)
.008 .007 .000 .036 .000 .000 .118 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.8 Pearson Correlati
on
.452*
*
.449*
* .161
.285*
*
.379*
*
.249*
* .231*
.439*
*
.513*
*
Sig. (2-
tailed) .000 .000 .100 .003 .000 .010 .017 .000 .000
N 106 106 106 106 106 106 106 106 106
X3 Pearson
Correlati
on
.486*
*
.466*
*
.456*
*
.346*
*
.620*
*
.566*
*
.374*
*
.444*
*
.726*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.1 Pearson
Correlati
on
.253*
*
.294*
*
.268*
* .149
.454*
*
.292*
*
.270*
*
.277*
*
.435*
*
Sig. (2-
tailed) .009 .002 .005 .128 .000 .002 .005 .004 .000
N 106 106 106 106 106 106 106 106 106
X4.2 Pearson
Correlati
.282*
*
.361*
*
.278*
*
.308*
*
.453*
*
.361*
*
.263*
* .231*
.490*
*
74
on
Sig. (2-
tailed) .003 .000 .004 .001 .000 .000 .006 .017 .000
N 106 106 106 106 106 106 106 106 106
X4.3 Pearson
Correlati
on
.239* .170 .150 .204* .229* .223* .137 .256*
*
.311*
*
Sig. (2-
tailed) .013 .082 .125 .036 .018 .022 .162 .008 .001
N 106 106 106 106 106 106 106 106 106
X4.4 Pearson
Correlation
.148 .099 .150 .185 .253*
* .143 .241* .154
.266*
*
Sig. (2-tailed)
.131 .314 .124 .057 .009 .145 .013 .114 .006
N 106 106 106 106 106 106 106 106 106
X4.5 Pearson Correlati
on
.196* .353*
* .176 .210*
.275*
* .163
.284*
* .216*
.362*
*
Sig. (2-
tailed) .045 .000 .071 .030 .004 .095 .003 .026 .000
N 106 106 106 106 106 106 106 106 106
X4.6 Pearson
Correlati
on
.334*
*
.277*
* .172
.354*
*
.328*
* .131 .232*
.496*
*
.452*
*
Sig. (2-
tailed) .000 .004 .078 .000 .001 .182 .017 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.7 Pearson
Correlati
on
.380*
*
.432*
* .199* .207*
.406*
*
.256*
* .241*
.456*
*
.499*
*
Sig. (2-
tailed) .000 .000 .041 .033 .000 .008 .013 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.8 Pearson
Correlation
.365*
* .381*
* .191 .081
.402*
* .284*
* .292*
* .359*
* .455*
*
Sig. (2-tailed)
.000 .000 .050 .409 .000 .003 .002 .000 .000
N 106 106 106 106 106 106 106 106 106
X4 Pearson Correlati
on
.406*
*
.437*
*
.293*
*
.314*
*
.517*
*
.342*
*
.362*
*
.452*
*
.604*
*
Sig. (2-
tailed) .000 .000 .002 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.1 Pearson
Correlati
on
.388*
*
.369*
* .217* .229*
.403*
*
.349*
*
.400*
*
.513*
*
.555*
*
Sig. (2-
tailed) .000 .000 .026 .018 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.2 Pearson
Correlati
on
.491*
*
.403*
* .224* .227*
.361*
*
.346*
*
.305*
*
.590*
*
.571*
*
Sig. (2-
tailed) .000 .000 .021 .019 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
75
X5.3 Pearson
Correlati
on
.221* .143 .286*
* .140
.264*
* .190 .222*
.345*
*
.350*
*
Sig. (2-
tailed) .023 .144 .003 .151 .006 .051 .022 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.4 Pearson
Correlation
.254*
*
.273*
* .148
.261*
*
.324*
*
.252*
* .196*
.288*
*
.386*
*
Sig. (2-tailed)
.009 .005 .130 .007 .001 .009 .044 .003 .000
N 106 106 106 106 106 106 106 106 106
X5.5 Pearson Correlati
on
.251*
* .257*
* .186 .195*
.266*
* .380*
* .328*
* .314*
* .421*
*
Sig. (2-
tailed) .010 .008 .056 .045 .006 .000 .001 .001 .000
N 106 106 106 106 106 106 106 106 106
X5.6 Pearson
Correlati
on
.390*
*
.363*
*
.296*
*
.255*
*
.282*
*
.383*
*
.269*
*
.376*
*
.505*
*
Sig. (2-
tailed) .000 .000 .002 .008 .003 .000 .005 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.7 Pearson
Correlati
on
.347*
*
.442*
*
.287*
*
.348*
*
.358*
*
.415*
*
.288*
*
.355*
*
.549*
*
Sig. (2-
tailed) .000 .000 .003 .000 .000 .000 .003 .000 .000
N 106 106 106 106 106 106 106 106 106
X5 Pearson
Correlation
.481*
*
.462*
*
.338*
*
.340*
*
.464*
*
.476*
*
.412*
*
.571*
*
.686*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Unstandardized Residual
Pearson Correlati
on
.138 .170 .017 -.067 -.117 .130 -.155 -.111 .000
Sig. (2-
tailed) .159 .081 .865 .497 .232 .183 .112 .259
1.00
0
N 106 106 106 106 106 106 106 106 106
76
X2.1 X2.2 X2.3 X2.4 X2.5 X2.6 X2.7 X2.8 X2
X1.1 Pearson Correlatio
n
.292*
* .172
.254*
*
.390*
*
.390*
* .241*
.359*
*
.438*
*
.453*
*
Sig. (2-tailed) .002 .078 .009 .000 .000 .013 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.2 Pearson Correlatio
n .188 .235* .194*
.261*
*
.276*
* .189
.383*
*
.299*
*
.362*
*
Sig. (2-
tailed) .053 .015 .047 .007 .004 .052 .000 .002 .000
N 106 106 106 106 106 106 106 106 106
X1.3 Pearson
Correlation
.429*
*
.461*
*
.330*
*
.410*
*
.291*
*
.325*
*
.421*
*
.421*
*
.552*
*
Sig. (2-tailed) .000 .000 .001 .000 .002 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.4 Pearson Correlatio
n
.295*
*
.271*
* .230*
.291*
*
.283*
* .235*
.323*
*
.270*
*
.393*
*
Sig. (2-
tailed) .002 .005 .018 .002 .003 .015 .001 .005 .000
N 106 106 106 106 106 106 106 106 106
X1.5 Pearson
Correlation
.358*
*
.389*
* .217*
.425*
*
.448*
*
.339*
*
.445*
*
.475*
*
.553*
*
Sig. (2-tailed) .000 .000 .026 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.6 Pearson Correlatio
n
.274*
* .191 .239*
.406*
*
.294*
*
.249*
*
.394*
*
.481*
*
.452*
*
Sig. (2-
tailed) .004 .050 .014 .000 .002 .010 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.7 Pearson
Correlation
.058 .076 .115 .263*
*
.342*
* .239* .207*
.263*
*
.279*
*
Sig. (2-tailed) .555 .439 .242 .006 .000 .014 .033 .007 .004
N 106 106 106 106 106 106 106 106 106
X1.8 Pearson Correlatio
n
.290*
*
.295*
* .134
.342*
*
.339*
* .242*
.454*
*
.374*
*
.442*
*
Sig. (2-
tailed) .003 .002 .170 .000 .000 .013 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1 Pearson
Correlation
.422*
*
.404*
*
.330*
*
.538*
*
.515*
*
.398*
*
.577*
*
.583*
*
.673*
*
77
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.1 Pearson
Correlation
1 .462*
*
.359*
*
.284*
*
.267*
*
.361*
*
.417*
*
.339*
*
.625*
*
Sig. (2-tailed) .000 .000 .003 .006 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.2 Pearson Correlatio
n
.462*
* 1
.606*
*
.407*
*
.318*
*
.358*
*
.450*
*
.406*
*
.715*
*
Sig. (2-
tailed) .000 .000 .000 .001 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.3 Pearson
Correlation
.359*
*
.606*
* 1
.404*
* .241*
.308*
*
.417*
*
.497*
*
.684*
*
Sig. (2-tailed) .000 .000 .000 .013 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.4 Pearson Correlatio
n
.284*
*
.407*
*
.404*
* 1
.604*
*
.587*
*
.614*
*
.442*
*
.775*
*
Sig. (2-
tailed) .003 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.5 Pearson
Correlation
.267*
*
.318*
* .241*
.604*
* 1
.379*
*
.405*
*
.359*
*
.639*
*
Sig. (2-tailed) .006 .001 .013 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.6 Pearson Correlatio
n
.361*
*
.358*
*
.308*
*
.587*
*
.379*
* 1
.502*
*
.309*
*
.679*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X2.7 Pearson
Correlation
.417*
*
.450*
*
.417*
*
.614*
*
.405*
*
.502*
* 1
.566*
*
.781*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.8 Pearson Correlatio
n
.339*
*
.406*
*
.497*
*
.442*
*
.359*
*
.309*
*
.566*
* 1
.700*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
78
X2 Pearson
Correlatio
n
.625*
*
.715*
*
.684*
*
.775*
*
.639*
*
.679*
*
.781*
*
.700*
* 1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.1 Pearson Correlatio
n
.414*
* .432*
* .472*
* .545*
* .421*
* .445*
* .632*
* .648*
* .716*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.2 Pearson
Correlatio
n
.411*
*
.397*
*
.331*
*
.440*
*
.536*
*
.325*
*
.440*
*
.447*
*
.595*
*
Sig. (2-
tailed) .000 .000 .001 .000 .000 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.3 Pearson Correlatio
n
.285*
* .266*
* .251*
* .481*
* .455*
* .361*
* .478*
* .370*
* .527*
*
Sig. (2-tailed) .003 .006 .009 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.4 Pearson
Correlatio
n .225*
.393*
*
.335*
*
.467*
*
.476*
*
.267*
*
.557*
*
.458*
*
.568*
*
Sig. (2-
tailed) .020 .000 .000 .000 .000 .006 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.5 Pearson Correlatio
n
.351*
* .373*
* .412*
* .398*
* .380*
* .384*
* .538*
* .334*
* .566*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.6 Pearson
Correlatio
n
.320*
* .226*
.322*
*
.437*
*
.316*
* .239*
.420*
*
.384*
*
.476*
*
Sig. (2-
tailed) .001 .020 .001 .000 .001 .014 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.7 Pearson Correlatio
n .245*
.333*
* .106
.470*
* .308*
* .319*
* .401*
* .239*
.433*
*
Sig. (2-tailed) .011 .000 .279 .000 .001 .001 .000 .014 .000
N 106 106 106 106 106 106 106 106 106
X3.8 Pearson
Correlatio
n .072 .200* .081
.321*
*
.469*
* .036
.335*
* .218*
.310*
*
Sig. (2-
tailed) .461 .040 .412 .001 .000 .713 .000 .025 .001
79
N 106 106 106 106 106 106 106 106 106
X3 Pearson Correlatio
n
.408*
*
.460*
*
.405*
*
.625*
*
.592*
*
.417*
*
.667*
*
.544*
*
.736*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.1 Pearson
Correlation
.137 .352*
* .237*
.337*
* .235* .122
.393*
* .173
.355*
*
Sig. (2-tailed) .160 .000 .015 .000 .015 .214 .000 .076 .000
N 106 106 106 106 106 106 106 106 106
X4.2 Pearson
Correlatio
n .219*
.261*
* .172
.369*
*
.446*
*
.303*
*
.338*
*
.273*
*
.426*
*
Sig. (2-
tailed) .024 .007 .077 .000 .000 .002 .000 .005 .000
N 106 106 106 106 106 106 106 106 106
X4.3 Pearson
Correlation
-.020 .222* .163 .403*
*
.294*
* .205*
.286*
*
.266*
*
.325*
*
Sig. (2-tailed) .837 .022 .094 .000 .002 .035 .003 .006 .001
N 106 106 106 106 106 106 106 106 106
X4.4 Pearson Correlatio
n .151 .165 .108 .244*
.320*
* .218*
.257*
* .116
.282*
*
Sig. (2-
tailed) .123 .090 .272 .012 .001 .025 .008 .237 .003
N 106 106 106 106 106 106 106 106 106
X4.5 Pearson
Correlation
.224* .333*
* .135
.254*
*
.367*
* .054 .217* .215*
.322*
*
Sig. (2-tailed) .021 .000 .167 .008 .000 .579 .025 .027 .001
N 106 106 106 106 106 106 106 106 106
X4.6 Pearson Correlatio
n .162
.322*
* .104 .197*
.267*
* .003
.275*
* .120
.259*
*
Sig. (2-
tailed) .097 .001 .287 .043 .006 .972 .004 .222 .007
N 106 106 106 106 106 106 106 106 106
X4.7 Pearson
Correlation
.185 .297*
* .162
.314*
*
.503*
* .104
.330*
*
.266*
*
.387*
*
Sig. (2-
tailed) .057 .002 .097 .001 .000 .289 .001 .006 .000
N 106 106 106 106 106 106 106 106 106
X4.8 Pearson Correlatio
n
.286*
*
.366*
* .166
.327*
*
.333*
* .133
.363*
*
.354*
*
.417*
*
80
Sig. (2-
tailed) .003 .000 .088 .001 .000 .174 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4 Pearson
Correlation
.248* .429*
* .231*
.452*
*
.511*
* .211*
.455*
*
.330*
*
.512*
*
Sig. (2-tailed) .010 .000 .017 .000 .000 .030 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X5.1 Pearson Correlatio
n .224* .152 .001 .240*
.399*
* .088 .229* .236*
.281*
*
Sig. (2-
tailed) .021 .121 .991 .013 .000 .370 .018 .015 .004
N 106 106 106 106 106 106 106 106 106
X5.2 Pearson
Correlation
.165 .210* .040 .196* .341*
* .023 .247*
.364*
*
.284*
*
Sig. (2-tailed) .091 .031 .687 .044 .000 .813 .011 .000 .003
N 106 106 106 106 106 106 106 106 106
X5.3 Pearson Correlatio
n
.397*
*
.272*
*
.288*
*
.262*
* .235*
.334*
*
.293*
*
.391*
*
.442*
*
Sig. (2-
tailed) .000 .005 .003 .007 .015 .000 .002 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.4 Pearson
Correlation
.123 .127 .000 .326*
*
.352*
* .203* .233* .098
.261*
*
Sig. (2-tailed) .210 .194 .999 .001 .000 .037 .016 .317 .007
N 106 106 106 106 106 106 106 106 106
X5.5 Pearson Correlatio
n .110 .147 .150 .179
.251*
* .072
.264*
*
.352*
*
.273*
*
Sig. (2-
tailed) .260 .132 .125 .066 .010 .463 .006 .000 .005
N 106 106 106 106 106 106 106 106 106
X5.6 Pearson
Correlation
.307*
*
.259*
*
.278*
*
.335*
*
.324*
* .161
.435*
*
.412*
*
.449*
*
Sig. (2-tailed) .001 .007 .004 .000 .001 .099 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.7 Pearson Correlatio
n .178
.250*
* .209* .198*
.352*
* .077
.313*
*
.376*
*
.349*
*
Sig. (2-
tailed) .068 .010 .032 .042 .000 .433 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
81
X5 Pearson
Correlatio
n
.309*
*
.291*
* .198*
.357*
*
.463*
* .197*
.414*
*
.458*
*
.481*
*
Sig. (2-
tailed) .001 .002 .042 .000 .000 .043 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Unstandardized Residual
Pearson Correlatio
n -.060
-.197*
.102 .030 -.042 -.066 .117 .115 .000
Sig. (2-tailed) .538 .043 .297 .756 .666 .504 .231 .239 1.000
N 106 106 106 106 106 106 106 106 106
82
X3.1 X3.2 X3.3 X3.4 X3.5 X3.6 X3.7 X3.8 X3
X1.1 Pearson Correlation .396*
* .340**
.331*
* .381*
* .231*
.371*
* .257*
* .452*
* .486*
*
Sig. (2-
tailed) .000 .000 .001 .000 .017 .000 .008 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.2 Pearson Correlation .326*
* .378**
.316*
*
.368*
*
.310*
* .239*
.262*
*
.449*
*
.466*
*
Sig. (2-tailed) .001 .000 .001 .000 .001 .014 .007 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.3 Pearson
Correlation .460*
* .455**
.345*
*
.276*
*
.344*
* .219*
.333*
* .161
.456*
*
Sig. (2-
tailed) .000 .000 .000 .004 .000 .024 .000 .100 .000
N 106 106 106 106 106 106 106 106 106
X1.4 Pearson
Correlation .321*
* .260** .166
.361*
* .168 .206* .204*
.285*
*
.346*
*
Sig. (2-
tailed) .001 .007 .090 .000 .085 .034 .036 .003 .000
N 106 106 106 106 106 106 106 106 106
X1.5 Pearson Correlation .494*
* .468**
.468*
*
.431*
*
.444*
*
.442*
*
.402*
*
.379*
*
.620*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.6 Pearson
Correlation .520*
* .381**
.474*
*
.396*
*
.431*
*
.438*
*
.333*
*
.249*
*
.566*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .010 .000
N 106 106 106 106 106 106 106 106 106
X1.7 Pearson
Correlation .330*
* .272**
.335*
*
.316*
*
.275*
* .217* .153 .231*
.374*
*
Sig. (2-
tailed) .001 .005 .000 .001 .004 .025 .118 .017 .000
N 106 106 106 106 106 106 106 106 106
X1.8 Pearson
Correlation .368*
* .299**
.262*
*
.361*
* .170
.252*
*
.376*
*
.439*
*
.444*
*
83
Sig. (2-
tailed) .000 .002 .007 .000 .082 .009 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1 Pearson Correlation .621*
* .550**
.520*
*
.559*
*
.457*
*
.460*
*
.448*
*
.513*
*
.726*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.1 Pearson Correlation .414*
* .411**
.285*
* .225*
.351*
*
.320*
* .245* .072
.408*
*
Sig. (2-tailed) .000 .000 .003 .020 .000 .001 .011 .461 .000
N 106 106 106 106 106 106 106 106 106
X2.2 Pearson
Correlation .432*
* .397**
.266*
*
.393*
*
.373*
* .226*
.333*
* .200*
.460*
*
Sig. (2-
tailed) .000 .000 .006 .000 .000 .020 .000 .040 .000
N 106 106 106 106 106 106 106 106 106
X2.3 Pearson
Correlation .472*
* .331**
.251*
*
.335*
*
.412*
*
.322*
* .106 .081
.405*
*
Sig. (2-
tailed) .000 .001 .009 .000 .000 .001 .279 .412 .000
N 106 106 106 106 106 106 106 106 106
X2.4 Pearson Correlation .545*
* .440**
.481*
* .467*
* .398*
* .437*
* .470*
* .321*
* .625*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X2.5 Pearson
Correlation .421*
* .536**
.455*
*
.476*
*
.380*
*
.316*
*
.308*
*
.469*
*
.592*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .001 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.6 Pearson
Correlation .445*
* .325**
.361*
*
.267*
*
.384*
* .239*
.319*
* .036
.417*
*
Sig. (2-
tailed) .000 .001 .000 .006 .000 .014 .001 .713 .000
N 106 106 106 106 106 106 106 106 106
84
X2.7 Pearson
Correlation .632*
* .440**
.478*
*
.557*
*
.538*
*
.420*
*
.401*
*
.335*
*
.667*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.8 Pearson Correlation .648*
* .447**
.370*
* .458*
* .334*
* .384*
* .239* .218*
.544*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .014 .025 .000
N 106 106 106 106 106 106 106 106 106
X2 Pearson Correlation .716*
* .595**
.527*
*
.568*
*
.566*
*
.476*
*
.433*
*
.310*
*
.736*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X3.1 Pearson
Correlation 1 .601**
.517*
*
.502*
*
.499*
*
.475*
*
.336*
* .210*
.727*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .031 .000
N 106 106 106 106 106 106 106 106 106
X3.2 Pearson
Correlation .601*
* 1
.539*
*
.435*
*
.478*
*
.354*
*
.359*
*
.361*
*
.727*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.3 Pearson Correlation .517*
* .539** 1
.439*
* .659*
* .566*
* .548*
* .183
.783*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .060 .000
N 106 106 106 106 106 106 106 106 106
X3.4 Pearson
Correlation .502*
* .435**
.439*
* 1
.394*
*
.390*
*
.372*
*
.489*
*
.707*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.5 Pearson
Correlation .499*
* .478**
.659*
*
.394*
* 1
.601*
*
.535*
* .158
.759*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .106 .000
85
N 106 106 106 106 106 106 106 106 106
X3.6 Pearson Correlation .475*
* .354**
.566*
*
.390*
*
.601*
* 1
.634*
* .233*
.746*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .016 .000
N 106 106 106 106 106 106 106 106 106
X3.7 Pearson
Correlation .336*
* .359**
.548*
*
.372*
*
.535*
*
.634*
* 1
.317*
*
.719*
*
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X3.8 Pearson
Correlation .210* .361** .183
.489*
* .158 .233*
.317*
* 1
.520*
*
Sig. (2-
tailed) .031 .000 .060 .000 .106 .016 .001 .000
N 106 106 106 106 106 106 106 106 106
X3 Pearson Correlation .727*
* .727**
.783*
* .707*
* .759*
* .746*
* .719*
* .520*
* 1
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.1 Pearson
Correlation .212* .393**
.380*
*
.379*
*
.348*
*
.294*
*
.318*
*
.504*
*
.498*
*
Sig. (2-
tailed) .029 .000 .000 .000 .000 .002 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.2 Pearson
Correlation .218* .369**
.288*
*
.268*
*
.311*
* .216*
.344*
*
.367*
*
.419*
*
Sig. (2-
tailed) .025 .000 .003 .006 .001 .026 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.3 Pearson
Correlation .195* .279** .095
.373*
* .065 .183 .199*
.431*
*
.321*
*
Sig. (2-
tailed) .046 .004 .331 .000 .507 .060 .041 .000 .001
N 106 106 106 106 106 106 106 106 106
X4.4 Pearson Correlation
.151 .330** .192* .196* .260*
* .213* .236* .249*
.321*
*
86
Sig. (2-
tailed) .122 .001 .049 .044 .007 .029 .015 .010 .001
N 106 106 106 106 106 106 106 106 106
X4.5 Pearson Correlation .261*
* .395** .237*
.417*
*
.259*
* .142 .214*
.370*
*
.404*
*
Sig. (2-tailed) .007 .000 .015 .000 .007 .147 .028 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.6 Pearson Correlation
.240* .294** .191* .385*
* .157 .209* .227*
.539*
*
.395*
*
Sig. (2-tailed) .013 .002 .050 .000 .108 .031 .019 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.7 Pearson
Correlation .320*
* .416**
.329*
*
.489*
* .216*
.261*
*
.285*
*
.551*
*
.505*
*
Sig. (2-
tailed) .001 .000 .001 .000 .026 .007 .003 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.8 Pearson
Correlation .264*
* .289**
.258*
*
.399*
*
.253*
*
.327*
*
.309*
*
.439*
*
.446*
*
Sig. (2-
tailed) .006 .003 .008 .000 .009 .001 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X4 Pearson Correlation .344*
* .511**
.364*
* .537*
* .345*
* .341*
* .394*
* .638*
* .612*
*
Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.1 Pearson
Correlation .319*
* .414** .229*
.393*
* .132 .153 .197*
.473*
*
.407*
*
Sig. (2-
tailed) .001 .000 .018 .000 .176 .117 .043 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.2 Pearson
Correlation .319*
* .433** .185
.280*
* .144 .117 .249*
.553*
*
.402*
*
Sig. (2-
tailed) .001 .000 .058 .004 .142 .232 .010 .000 .000
N 106 106 106 106 106 106 106 106 106
87
X5.3 Pearson
Correlation .293*
* .251**
.306*
* .176
.256*
*
.334*
*
.255*
* -.048
.320*
*
Sig. (2-
tailed) .002 .009 .001 .071 .008 .000 .008 .626 .001
N 106 106 106 106 106 106 106 106 106
X5.4 Pearson Correlation
.191* .279** .190 .310*
* .155
.278*
* .354*
* .326*
* .366*
*
Sig. (2-tailed) .050 .004 .052 .001 .114 .004 .000 .001 .000
N 106 106 106 106 106 106 106 106 106
X5.5 Pearson Correlation .305*
* .262**
.285*
*
.320*
*
.312*
*
.298*
* .214* .229*
.391*
*
Sig. (2-tailed) .001 .007 .003 .001 .001 .002 .028 .018 .000
N 106 106 106 106 106 106 106 106 106
X5.6 Pearson
Correlation .421*
* .316**
.257*
*
.379*
*
.279*
*
.412*
*
.328*
*
.330*
*
.478*
*
Sig. (2-
tailed) .000 .001 .008 .000 .004 .000 .001 .001 .000
N 106 106 106 106 106 106 106 106 106
X5.7 Pearson
Correlation .389*
* .395** .153
.461*
* .228* .156 .120
.435*
*
.411*
*
Sig. (2-
tailed) .000 .000 .117 .000 .019 .110 .221 .000 .000
N 106 106 106 106 106 106 106 106 106
X5 Pearson Correlation .459*
* .483**
.330*
* .477*
* .310*
* .360*
* .353*
* .472*
* .571*
*
Sig. (2-tailed) .000 .000 .001 .000 .001 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
Unstandardize
d Residual
Pearson
Correlation .045 -.016 -.006 .034 .030 .129 -.141 -.072 .000
Sig. (2-
tailed) .644 .867 .950 .733 .762 .189 .148 .463 1.00
0
N 106 106 106 106 106 106 106 106 106
88
X4.1 X4.2 X4.3 X4.4 X4.5 X4.6 X4.7 X4.8 X4
X1.1 Pearson Correlatio
n
.253*
* .282*
* .239* .148 .196*
.334*
* .380*
* .365*
* .406*
*
Sig. (2-
tailed) .009 .003 .013 .131 .045 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.2 Pearson Correlatio
n
.294*
*
.361*
* .170 .099
.353*
*
.277*
*
.432*
*
.381*
*
.437*
*
Sig. (2-tailed) .002 .000 .082 .314 .000 .004 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.3 Pearson
Correlation
.268*
*
.278*
* .150 .150 .176 .172 .199* .191
.293*
*
Sig. (2-
tailed) .005 .004 .125 .124 .071 .078 .041 .050 .002
N 106 106 106 106 106 106 106 106 106
X1.4 Pearson
Correlatio
n .149
.308*
* .204* .185 .210*
.354*
* .207* .081
.314*
*
Sig. (2-
tailed) .128 .001 .036 .057 .030 .000 .033 .409 .001
N 106 106 106 106 106 106 106 106 106
X1.5 Pearson
Correlatio
n
.454*
* .453*
* .229*
.253*
* .275*
* .328*
* .406*
* .402*
* .517*
*
Sig. (2-
tailed) .000 .000 .018 .009 .004 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1.6 Pearson Correlatio
n
.292*
* .361*
* .223* .143 .163 .131
.256*
* .284*
* .342*
*
Sig. (2-tailed) .002 .000 .022 .145 .095 .182 .008 .003 .000
N 106 106 106 106 106 106 106 106 106
X1.7 Pearson
Correlation
.270*
*
.263*
* .137 .241*
.284*
* .232* .241*
.292*
*
.362*
*
Sig. (2-
tailed) .005 .006 .162 .013 .003 .017 .013 .002 .000
N 106 106 106 106 106 106 106 106 106
X1.8 Pearson
Correlatio
n
.277*
* .231*
.256*
* .154 .216*
.496*
*
.456*
*
.359*
*
.452*
*
Sig. (2-
tailed) .004 .017 .008 .114 .026 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X1 Pearson
Correlatio
n
.435*
* .490*
* .311*
* .266*
* .362*
* .452*
* .499*
* .455*
* .604*
*
89
Sig. (2-
tailed) .000 .000 .001 .006 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.1 Pearson
Correlatio
n .137 .219* -.020 .151 .224* .162 .185
.286*
* .248*
Sig. (2-
tailed) .160 .024 .837 .123 .021 .097 .057 .003 .010
N 106 106 106 106 106 106 106 106 106
X2.2 Pearson Correlatio
n
.352*
* .261*
* .222* .165
.333*
* .322*
* .297*
* .366*
* .429*
*
Sig. (2-tailed) .000 .007 .022 .090 .000 .001 .002 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.3 Pearson
Correlation
.237* .172 .163 .108 .135 .104 .162 .166 .231*
Sig. (2-
tailed) .015 .077 .094 .272 .167 .287 .097 .088 .017
N 106 106 106 106 106 106 106 106 106
X2.4 Pearson
Correlatio
n
.337*
*
.369*
*
.403*
* .244*
.254*
* .197*
.314*
*
.327*
*
.452*
*
Sig. (2-
tailed) .000 .000 .000 .012 .008 .043 .001 .001 .000
N 106 106 106 106 106 106 106 106 106
X2.5 Pearson
Correlatio
n .235*
.446*
* .294*
* .320*
* .367*
* .267*
* .503*
* .333*
* .511*
*
Sig. (2-
tailed) .015 .000 .002 .001 .000 .006 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.6 Pearson Correlatio
n .122
.303*
* .205* .218* .054 .003 .104 .133 .211*
Sig. (2-tailed) .214 .002 .035 .025 .579 .972 .289 .174 .030
N 106 106 106 106 106 106 106 106 106
X2.7 Pearson
Correlation
.393*
*
.338*
*
.286*
*
.257*
* .217*
.275*
*
.330*
*
.363*
*
.455*
*
Sig. (2-
tailed) .000 .000 .003 .008 .025 .004 .001 .000 .000
N 106 106 106 106 106 106 106 106 106
X2.8 Pearson
Correlatio
n .173
.273*
*
.266*
* .116 .215* .120
.266*
*
.354*
*
.330*
*
Sig. (2-
tailed) .076 .005 .006 .237 .027 .222 .006 .000 .001
N 106 106 106 106 106 106 106 106 106
X2 Pearson
Correlatio
n
.355*
* .426*
* .325*
* .282*
* .322*
* .259*
* .387*
* .417*
* .512*
*
90
Sig. (2-
tailed) .000 .000 .001 .003 .001 .007 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.1 Pearson
Correlatio
n .212* .218* .195* .151
.261*
* .240*
.320*
* .264*
* .344*
*
Sig. (2-
tailed) .029 .025 .046 .122 .007 .013 .001 .006 .000
N 106 106 106 106 106 106 106 106 106
X3.2 Pearson Correlatio
n
.393*
* .369*
* .279*
* .330*
* .395*
* .294*
* .416*
* .289*
* .511*
*
Sig. (2-tailed) .000 .000 .004 .001 .000 .002 .000 .003 .000
N 106 106 106 106 106 106 106 106 106
X3.3 Pearson
Correlation
.380*
*
.288*
* .095 .192* .237* .191*
.329*
*
.258*
*
.364*
*
Sig. (2-
tailed) .000 .003 .331 .049 .015 .050 .001 .008 .000
N 106 106 106 106 106 106 106 106 106
X3.4 Pearson
Correlatio
n
.379*
*
.268*
*
.373*
* .196*
.417*
*
.385*
*
.489*
*
.399*
*
.537*
*
Sig. (2-
tailed) .000 .006 .000 .044 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3.5 Pearson
Correlatio
n
.348*
* .311*
* .065
.260*
* .259*
* .157 .216*
.253*
* .345*
*
Sig. (2-
tailed) .000 .001 .507 .007 .007 .108 .026 .009 .000
N 106 106 106 106 106 106 106 106 106
X3.6 Pearson Correlatio
n
.294*
* .216* .183 .213* .142 .209*
.261*
* .327*
* .341*
*
Sig. (2-tailed) .002 .026 .060 .029 .147 .031 .007 .001 .000
N 106 106 106 106 106 106 106 106 106
X3.7 Pearson
Correlation
.318*
*
.344*
* .199* .236* .214* .227*
.285*
*
.309*
*
.394*
*
Sig. (2-
tailed) .001 .000 .041 .015 .028 .019 .003 .001 .000
N 106 106 106 106 106 106 106 106 106
X3.8 Pearson
Correlatio
n
.504*
*
.367*
*
.431*
* .249*
.370*
*
.539*
*
.551*
*
.439*
*
.638*
*
Sig. (2-
tailed) .000 .000 .000 .010 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X3 Pearson
Correlatio
n
.498*
* .419*
* .321*
* .321*
* .404*
* .395*
* .505*
* .446*
* .612*
*
91
Sig. (2-
tailed) .000 .000 .001 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.1 Pearson
Correlatio
n 1
.363*
* .335*
* .255*
* .375*
* .421*
* .403*
* .501*
* .675*
*
Sig. (2-
tailed) .000 .000 .008 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.2 Pearson Correlatio
n
.363*
* 1
.346*
* .268*
* .346*
* .214*
.381*
* .361*
* .605*
*
Sig. (2-tailed) .000 .000 .005 .000 .028 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.3 Pearson
Correlation
.335*
*
.346*
* 1
.502*
* .231* .233*
.413*
*
.418*
*
.644*
*
Sig. (2-
tailed) .000 .000 .000 .017 .016 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.4 Pearson
Correlatio
n
.255*
*
.268*
*
.502*
* 1 .206*
.260*
*
.259*
*
.290*
*
.563*
*
Sig. (2-
tailed) .008 .005 .000 .034 .007 .007 .003 .000
N 106 106 106 106 106 106 106 106 106
X4.5 Pearson
Correlatio
n
.375*
* .346*
* .231* .206* 1
.490*
* .627*
* .539*
* .706*
*
Sig. (2-
tailed) .000 .000 .017 .034 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.6 Pearson Correlatio
n
.421*
* .214* .233*
.260*
* .490*
* 1
.572*
* .437*
* .671*
*
Sig. (2-tailed) .000 .028 .016 .007 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.7 Pearson
Correlation
.403*
*
.381*
*
.413*
*
.259*
*
.627*
*
.572*
* 1
.572*
*
.781*
*
Sig. (2-
tailed) .000 .000 .000 .007 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4.8 Pearson
Correlatio
n
.501*
*
.361*
*
.418*
*
.290*
*
.539*
*
.437*
*
.572*
* 1
.762*
*
Sig. (2-
tailed) .000 .000 .000 .003 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X4 Pearson
Correlatio
n
.675*
* .605*
* .644*
* .563*
* .706*
* .671*
* .781*
* .762*
* 1
92
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.1 Pearson
Correlatio
n
.344*
* .270*
* .325*
* .376*
* .403*
* .471*
* .474*
* .420*
* .570*
*
Sig. (2-
tailed) .000 .005 .001 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.2 Pearson Correlatio
n
.336*
* .313*
* .371*
* .264*
* .400*
* .570*
* .471*
* .468*
* .591*
*
Sig. (2-tailed) .000 .001 .000 .006 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.3 Pearson
Correlation
-.050 .069 -.005 .095 .000 .131 .104 .124 .086
Sig. (2-
tailed) .609 .480 .956 .332 1.000 .181 .288 .206 .379
N 106 106 106 106 106 106 106 106 106
X5.4 Pearson
Correlatio
n .224*
.338*
*
.335*
*
.394*
*
.267*
* .223*
.497*
*
.352*
*
.486*
*
Sig. (2-
tailed) .021 .000 .000 .000 .006 .022 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.5 Pearson
Correlatio
n
.275*
* .287*
* .156 .113 .243*
.260*
* .235*
.300*
* .345*
*
Sig. (2-
tailed) .004 .003 .109 .250 .012 .007 .016 .002 .000
N 106 106 106 106 106 106 106 106 106
X5.6 Pearson Correlatio
n .153
.263*
* .237*
.323*
* .261*
* .344*
* .397*
* .401*
* .440*
*
Sig. (2-tailed) .117 .006 .014 .001 .007 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5.7 Pearson
Correlation
.269*
*
.385*
*
.350*
*
.317*
*
.435*
*
.359*
*
.483*
*
.376*
*
.550*
*
Sig. (2-
tailed) .005 .000 .000 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
X5 Pearson
Correlatio
n
.319*
*
.396*
*
.363*
*
.387*
*
.413*
*
.484*
*
.547*
*
.501*
*
.631*
*
Sig. (2-
tailed) .001 .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106 106
93
Unstandardize
d Residual
Pearson
Correlatio
n .009 .076 .053 -.103 .028 -.090 .015 .012 .000
Sig. (2-
tailed) .924 .439 .586 .294 .778 .358 .876 .902 1.000
N 106 106 106 106 106 106 106 106 106
94
X5.1 X5.2 X5.3 X5.4 X5.5 X5.6 X5.7 X5
X1.1 Pearson
Correlation .388** .491** .221* .254** .251** .390** .347** .481**
Sig. (2-tailed) .000 .000 .023 .009 .010 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.2 Pearson Correlation
.369** .403** .143 .273** .257** .363** .442** .462**
Sig. (2-
tailed) .000 .000 .144 .005 .008 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.3 Pearson
Correlation .217* .224* .286** .148 .186 .296** .287** .338**
Sig. (2-tailed) .026 .021 .003 .130 .056 .002 .003 .000
N 106 106 106 106 106 106 106 106
X1.4 Pearson Correlation
.229* .227* .140 .261** .195* .255** .348** .340**
Sig. (2-
tailed) .018 .019 .151 .007 .045 .008 .000 .000
N 106 106 106 106 106 106 106 106
X1.5 Pearson
Correlation .403** .361** .264** .324** .266** .282** .358** .464**
Sig. (2-tailed) .000 .000 .006 .001 .006 .003 .000 .000
N 106 106 106 106 106 106 106 106
X1.6 Pearson Correlation
.349** .346** .190 .252** .380** .383** .415** .476**
Sig. (2-
tailed) .000 .000 .051 .009 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1.7 Pearson
Correlation .400** .305** .222* .196* .328** .269** .288** .412**
95
Sig. (2-
tailed) .000 .001 .022 .044 .001 .005 .003 .000
N 106 106 106 106 106 106 106 106
X1.8 Pearson
Correlation .513** .590** .345** .288** .314** .376** .355** .571**
Sig. (2-tailed) .000 .000 .000 .003 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106
X1 Pearson Correlation
.555** .571** .350** .386** .421** .505** .549** .686**
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X2.1 Pearson
Correlation .224* .165 .397** .123 .110 .307** .178 .309**
Sig. (2-tailed) .021 .091 .000 .210 .260 .001 .068 .001
N 106 106 106 106 106 106 106 106
X2.2 Pearson Correlation
.152 .210* .272** .127 .147 .259** .250** .291**
Sig. (2-
tailed) .121 .031 .005 .194 .132 .007 .010 .002
N 106 106 106 106 106 106 106 106
X2.3 Pearson
Correlation .001 .040 .288** .000 .150 .278** .209* .198*
Sig. (2-
tailed) .991 .687 .003 .999 .125 .004 .032 .042
N 106 106 106 106 106 106 106 106
X2.4 Pearson Correlation
.240* .196* .262** .326** .179 .335** .198* .357**
Sig. (2-
tailed) .013 .044 .007 .001 .066 .000 .042 .000
N 106 106 106 106 106 106 106 106
X2.5 Pearson
Correlation .399** .341** .235* .352** .251** .324** .352** .463**
96
Sig. (2-
tailed) .000 .000 .015 .000 .010 .001 .000 .000
N 106 106 106 106 106 106 106 106
X2.6 Pearson
Correlation .088 .023 .334** .203* .072 .161 .077 .197*
Sig. (2-tailed) .370 .813 .000 .037 .463 .099 .433 .043
N 106 106 106 106 106 106 106 106
X2.7 Pearson Correlation
.229* .247* .293** .233* .264** .435** .313** .414**
Sig. (2-
tailed) .018 .011 .002 .016 .006 .000 .001 .000
N 106 106 106 106 106 106 106 106
X2.8 Pearson
Correlation .236* .364** .391** .098 .352** .412** .376** .458**
Sig. (2-tailed) .015 .000 .000 .317 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X2 Pearson Correlation
.281** .284** .442** .261** .273** .449** .349** .481**
Sig. (2-
tailed) .004 .003 .000 .007 .005 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.1 Pearson
Correlation .319** .319** .293** .191* .305** .421** .389** .459**
Sig. (2-
tailed) .001 .001 .002 .050 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.2 Pearson Correlation
.414** .433** .251** .279** .262** .316** .395** .483**
Sig. (2-
tailed) .000 .000 .009 .004 .007 .001 .000 .000
N 106 106 106 106 106 106 106 106
X3.3 Pearson
Correlation .229* .185 .306** .190 .285** .257** .153 .330**
97
Sig. (2-
tailed) .018 .058 .001 .052 .003 .008 .117 .001
N 106 106 106 106 106 106 106 106
X3.4 Pearson
Correlation .393** .280** .176 .310** .320** .379** .461** .477**
Sig. (2-tailed) .000 .004 .071 .001 .001 .000 .000 .000
N 106 106 106 106 106 106 106 106
X3.5 Pearson Correlation
.132 .144 .256** .155 .312** .279** .228* .310**
Sig. (2-
tailed) .176 .142 .008 .114 .001 .004 .019 .001
N 106 106 106 106 106 106 106 106
X3.6 Pearson
Correlation .153 .117 .334** .278** .298** .412** .156 .360**
Sig. (2-tailed) .117 .232 .000 .004 .002 .000 .110 .000
N 106 106 106 106 106 106 106 106
X3.7 Pearson Correlation
.197* .249* .255** .354** .214* .328** .120 .353**
Sig. (2-
tailed) .043 .010 .008 .000 .028 .001 .221 .000
N 106 106 106 106 106 106 106 106
X3.8 Pearson
Correlation .473** .553** -.048 .326** .229* .330** .435** .472**
Sig. (2-
tailed) .000 .000 .626 .001 .018 .001 .000 .000
N 106 106 106 106 106 106 106 106
X3 Pearson Correlation
.407** .402** .320** .366** .391** .478** .411** .571**
Sig. (2-
tailed) .000 .000 .001 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4.1 Pearson
Correlation .344** .336** -.050 .224* .275** .153 .269** .319**
98
Sig. (2-
tailed) .000 .000 .609 .021 .004 .117 .005 .001
N 106 106 106 106 106 106 106 106
X4.2 Pearson
Correlation .270** .313** .069 .338** .287** .263** .385** .396**
Sig. (2-tailed) .005 .001 .480 .000 .003 .006 .000 .000
N 106 106 106 106 106 106 106 106
X4.3 Pearson Correlation
.325** .371** -.005 .335** .156 .237* .350** .363**
Sig. (2-
tailed) .001 .000 .956 .000 .109 .014 .000 .000
N 106 106 106 106 106 106 106 106
X4.4 Pearson
Correlation .376** .264** .095 .394** .113 .323** .317** .387**
Sig. (2-tailed) .000 .006 .332 .000 .250 .001 .001 .000
N 106 106 106 106 106 106 106 106
X4.5 Pearson Correlation
.403** .400** .000 .267** .243* .261** .435** .413**
Sig. (2-
tailed) .000 .000 1.000 .006 .012 .007 .000 .000
N 106 106 106 106 106 106 106 106
X4.6 Pearson
Correlation .471** .570** .131 .223* .260** .344** .359** .484**
Sig. (2-
tailed) .000 .000 .181 .022 .007 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4.7 Pearson Correlation
.474** .471** .104 .497** .235* .397** .483** .547**
Sig. (2-
tailed) .000 .000 .288 .000 .016 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4.8 Pearson
Correlation .420** .468** .124 .352** .300** .401** .376** .501**
99
Sig. (2-
tailed) .000 .000 .206 .000 .002 .000 .000 .000
N 106 106 106 106 106 106 106 106
X4 Pearson
Correlation .570** .591** .086 .486** .345** .440** .550** .631**
Sig. (2-tailed) .000 .000 .379 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.1 Pearson Correlation
1 .670** .277** .458** .342** .523** .594** .793**
Sig. (2-
tailed) .000 .004 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.2 Pearson
Correlation .670** 1 .179 .351** .343** .477** .561** .734**
Sig. (2-tailed) .000 .066 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.3 Pearson Correlation
.277** .179 1 .082 .247* .405** .168 .485**
Sig. (2-
tailed) .004 .066 .406 .011 .000 .085 .000
N 106 106 106 106 106 106 106 106
X5.4 Pearson
Correlation .458** .351** .082 1 .219* .488** .441** .626**
Sig. (2-
tailed) .000 .000 .406 .024 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.5 Pearson Correlation
.342** .343** .247* .219* 1 .472** .459** .635**
Sig. (2-
tailed) .000 .000 .011 .024 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.6 Pearson
Correlation .523** .477** .405** .488** .472** 1 .585** .811**
100
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5.7 Pearson
Correlation .594** .561** .168 .441** .459** .585** 1 .783**
Sig. (2-tailed) .000 .000 .085 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
X5 Pearson Correlation
.793** .734** .485** .626** .635** .811** .783** 1
Sig. (2-
tailed) .000 .000 .000 .000 .000 .000 .000
N 106 106 106 106 106 106 106 106
Unstandardized
Residual
Pearson
Correlation -.143 -.070 -.079 .031 .106 .143 .011 .000
Sig. (2-tailed) .143 .476 .418 .755 .279 .144 .908 1.000
N 106 106 106 106 106 106 106 106
101
Unstandardized
Residual
X1.1 Pearson
Correlation .138
Sig. (2-
tailed) .159
N 106
X1.2 Pearson
Correlation .170
Sig. (2-tailed) .081
N 106
X1.3 Pearson
Correlation .017
Sig. (2-tailed) .865
N 106
X1.4 Pearson Correlation -.067
Sig. (2-
tailed) .497
N 106
X1.5 Pearson Correlation -.117
Sig. (2-
tailed) .232
N 106
X1.6 Pearson
Correlation .130
Sig. (2-tailed) .183
N 106
X1.7 Pearson
Correlation -.155
Sig. (2-tailed) .112
N 106
X1.8 Pearson Correlation -.111
Sig. (2-
tailed) .259
N 106
X1 Pearson Correlation .000
102
Sig. (2-
tailed) 1.000
N 106
X2.1 Pearson Correlation -.060
Sig. (2-
tailed) .538
N 106
X2.2 Pearson
Correlation -.197*
Sig. (2-tailed) .043
N 106
X2.3 Pearson
Correlation .102
Sig. (2-tailed) .297
N 106
X2.4 Pearson Correlation .030
Sig. (2-
tailed) .756
N 106
X2.5 Pearson Correlation -.042
Sig. (2-
tailed) .666
N 106
X2.6 Pearson
Correlation -.066
Sig. (2-tailed) .504
N 106
X2.7 Pearson
Correlation .117
Sig. (2-tailed) .231
N 106
X2.8 Pearson Correlation .115
Sig. (2-
tailed) .239
N 106
X2 Pearson Correlation .000
103
Sig. (2-
tailed) 1.000
N 106
X3.1 Pearson Correlation .045
Sig. (2-
tailed) .644
N 106
X3.2 Pearson
Correlation -.016
Sig. (2-tailed) .867
N 106
X3.3 Pearson
Correlation -.006
Sig. (2-tailed) .950
N 106
X3.4 Pearson Correlation .034
Sig. (2-
tailed) .733
N 106
X3.5 Pearson Correlation .030
Sig. (2-
tailed) .762
N 106
X3.6 Pearson
Correlation .129
Sig. (2-tailed) .189
N 106
X3.7 Pearson
Correlation -.141
Sig. (2-tailed) .148
N 106
X3.8 Pearson Correlation -.072
Sig. (2-
tailed) .463
N 106
X3 Pearson Correlation .000
104
Sig. (2-
tailed) 1.000
N 106
X4.1 Pearson Correlation .009
Sig. (2-
tailed) .924
N 106
X4.2 Pearson
Correlation .076
Sig. (2-tailed) .439
N 106
X4.3 Pearson
Correlation .053
Sig. (2-tailed) .586
N 106
X4.4 Pearson Correlation -.103
Sig. (2-
tailed) .294
N 106
X4.5 Pearson Correlation .028
Sig. (2-
tailed) .778
N 106
X4.6 Pearson
Correlation -.090
Sig. (2-tailed) .358
N 106
X4.7 Pearson
Correlation .015
Sig. (2-tailed) .876
N 106
X4.8 Pearson Correlation .012
Sig. (2-
tailed) .902
N 106
X4 Pearson Correlation .000
105
Sig. (2-
tailed) 1.000
N 106
X5.1 Pearson Correlation -.143
Sig. (2-
tailed) .143
N 106
X5.2 Pearson
Correlation -.070
Sig. (2-tailed) .476
N 106
X5.3 Pearson
Correlation -.079
Sig. (2-tailed) .418
N 106
X5.4 Pearson Correlation .031
Sig. (2-
tailed) .755
N 106
X5.5 Pearson Correlation .106
Sig. (2-
tailed) .279
N 106
X5.6 Pearson
Correlation .143
Sig. (2-tailed) .144
N 106
X5.7 Pearson
Correlation .011
Sig. (2-tailed) .908
N 106
X5 Pearson Correlation .000
Sig. (2-
tailed) 1.000
N 106
Unstandardized Residual
Pearson Correlation 1
106
Sig. (2-
tailed)
N 106