台灣老年照護市場的購買行為研究--- 以C 醫學中心為例A Study on ...
Transcript of 台灣老年照護市場的購買行為研究--- 以C 醫學中心為例A Study on ...
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--- C
A Study on Taiwan Senior Citizens Purchasing Behavior for
Health Maintenance
A Thesis Submitted to Master Program of Management for Executives
College of Management National Chiao Tung University
in partial Fulfillment of the Requirements for the Degree of Executive Master
of Business Administration
March 2005
Hsinchu, Taiwan, Republic of China
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--- C
EBM
AIO
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A Study on Taiwan Senior Citizens Purchasing Behavior for Health Maintenance
Student: Chang, Chia-Sheng Advisor: Chen, Quang-Hua
Master Program of Management for Executives National Chiao Tung University
Abstract
Among the many factors affecting medical expenses, the population aging is the single most concurred upon by scholars examining the fiscal balance of the Taiwanese National Health Insurance. According to the estimate of population structure by Council for Economic Planning and Development and Ministry of the Interior, the older population will increase extremely high. Population aging is a necessary consequence of the population transition and that will be the new commercial chance for medical industry.
We study on the elderly nursery market to know the difference about people segregating in purchasing the care. Also, we wish to study the elements that influence the elderly nursery care purchasing behaviors. Therefore, the resources of nursery care might be efficiently used, and the service marketing will be improved as well. Through this research on Taiwan elderly citizens purchasing behavior for health maintenance, we hope there will be better understanding about the core elements for the elderly nursery care services and promoted appropriate strategies for the elderly nursery care organization and for the government authority.
In experimental research, we make use of questionnaires investigation reports from one medical center. The EBM consumer purchasing behavior model is used as a conceptual framework, and the AIO lifestyle variables are used as a basis for market segmentation. Demographic factors, product properties, and consumption reality variables are used to describe the characteristics and behavior of consumers. All data analyzed with following methods: Frequency Distribution Analysis, Factor Analysis, Reliability Analysis, Cluster Analysis, Discriminant Analysis, ANOVA Analysis, Scheffes Test and Chi-square Test.
The research result shows that the consumers could be effectively segregated by lifestyle variables. Among the three segments, demographic variables, purchase motive variable, sources of information, product properties and consumption reality variables are significant predictions of product choice. The results and recommendations of this research could help the elderly nursery care providers form their product, price, place, and promotion strategy.
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EMBA
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i ii iii iv vii x 1
1.1. 1
1.2. 1
1.3. 1
1.4. 1
1.5. 2
1.6. 2
1.7. 3
5
2.1. 5
2.1.1 5
2.1.2 7
2.1.3 9
2.2. 10
2.2.1 10
2.2.2 10
2.2.3 13
2.3. 15
2.3.1 15
2.3.2 16
2.3.3 17
2.3.4 19
2.4. 27
2.4.1 27
2.4.2 28
2.4.3 31
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2.4.4 33
2.4.5 33
2.5. 34
2.5.1 34
2.5.2 37
2.5.2.1 37
2.5.2.2 37
2.5.2.3 38
2.5.2.4 38
2.5.2.5 40
2.6. 41
42
3.1 42
3.1.1 42
3.1.2 43
3.2 45
3.3 46
3.4 51
3.5 55
3.6 57
3.6.1 57
3.6.2 58
3.7 59
60
4.1 60
4.1.1 60
4.1.2 60
4.1.3 60
4.2 62
4.2.1 62
4.2.2 66
4.2.3 67
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4.2.4 67
4.3 70
4.3.1 70
4.3.2 71
4.3.3 72
4.3.4 72
4.3.5 73
4.3.6 74
4.3.7 75
4.3.8 76
4.4 77
4.5 77
4.6 78
4.6.1 78
4.6.2 79
4.6.3 80
4.6.4 81
4.7 82
4.7.1 82
4.7.2 85
4.8 87
4.9 88
91
5.1 91
5.2 93
5.3 100
101
108
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2-1 7
2-2 14
2-3 15
2-4 18
2-5 19
2-6 19
2-7 27
2-8 32
2-9 AIO 33
2-10 34
2-11 37
2-12 38
2-13 38
2-14 38
2-15 40
3-1 44
3-2 45
3-3 47
3-4 48
3-5 48
3-6 48
3-7 49
3-8 50
3-9 53
3-10 53
3-11 53
3-12 53
3-13 54
3-14 54
3-15 54
3-16 54
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3-17 55
3-18 55
3-19 58
3-20 59
3-21 59
4-1 60
4-2 60
4-3 60
4-4 61
4-5 61
4-6 61
4-7 KMO 62
4-8 KMOBarlett 63
4-9 63
4-10 63
4-11 63
4-12 64
4-13 64
4-14 64
4-15 65
4-16 65
4-17 65
4-18 65
4-19 Wilks Lambda 66
4-20 67
4-21 67
4-22 68
4-23 68
4-24 Scheffs 69
4-25 70
4-26 70
4-27 71
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4-28 72
4-29 73
4-30 73
4-31 74
4-32 75
4-33 76
4-34 77
4-35 78
4-36 79
4-37 80
4-38 80
4-39 81
4-40 KMOBarlett 82
4-41 82
4-42 83
4-43 83
4-44 84
4-45 84
4-46 84
4-47 84
4-48 85
4-49 85
4-50 86
4-51 Scheffs 87
4-52 87
4-53 89
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1 3
2-1 5
2-2 6
2-3 2002 6
2-4 8
2-5 8
2-6 14
2-7 S->O->R 17
2-8 18
2-9 19
2-10 Nicosia 21
2-11 Howard-Sheth Model 22
2-12 Engel-Blackwell-Miniard 24
2-13 Maslow 25
2-14 Lazer 27
2-15 29
2-16 30
2-17 31
3-1 43
3-2 52
3-3 57
x
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1.1 84 93
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1.2
1. 2. 3.
1.3
1.4 65
1 65 7 2 1990 0.3970.351 3 15 64 14 65
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4. 3.
2.
1.
65
1.6
1.
2.
3.
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5.
2
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7.
1-51
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1. (1) (2)
2.
3
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4
1. 2.
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2.1
2.1.1
(WHO)657%(ageing society)14%(aged society)2000205035%(2-1)
2-1 ( 2000) 91 140 2002)
10202322
2-2
5
-
(2-2)
6
2-2 ( IEK )
4
52-3
, 19892023 2,383 2050 2,125
4 , 5
2-3 2002
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7
2.1.2
2-1 (WHO, 2002)
2-1
(KITTZ IEK )h
20% 40% 77%
-
( 2-4)
20%
40% 77%
2-4 ( IEK )
2001 10.92 2025 37.38 2-52001 246 2025 1,089 21 5 (2000 )
2-5 ()
8
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9
2.1.3
6
(, 2002)
quality of life(,1987)
Activities of Daily Living, ADLsInstrumental Activities of Daily Living, IADLsADLs
ADLsLiang, 1986IADLs ADLs ADLs
ADLs , 1998
ADLsIADLs
Chong, 1997
62002
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10
2.2
2.2.1
2003
Aranda and Hayman-White, 2001 (, 1987)
/
Liang, 1986; Day1987; Gimmy, 1988
2003
2.2.2
(disability)(ADL)
(1995):
1950
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11
1960(Aging in place)
(1998 )
Evashwick
()
;(1999;2002)
(label)
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12
KTV
(Life Support Advisor)
;
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13
2.2.3
Kotler
Zeithaml 1982
1992ParasuramanZeithaml and Berry1985) 1.(intangibility)
2.(inseparability)
3.(heterogeneity)
(1) (2) (3)
4.(perishable)
1964McCarthy
4P (Personnel) (Physical facilities)(Process management) 7PS
1984 2-6 A. Essential Attribute
B. Formal Attribute
C. Perceived Attribute
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interaction
D. Augmented Attribute
2-2
2-6
14
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15
2.3
2.3.1
Nicosia(1968)
Demby(1973)
EngelKollat & Blackwell(1973)
Pratt(1974)
Williams(1982)
Peter and Olson(1990)
Schiffman & Kanuk(1991)
Engel, Miniard & Blackwell 1993
Kotler (2000)
2-3
2-3 Nicosia 1966 Demby 1973
Engel Kollat & Blackwell
1973
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16
Pratt
1974
Williams
1982
Peter & Olson
1987
Schiffman & Kanuk
1991
Engel , Miniard & Blackwel
1993
Kotler 2000
2.3.2
1
2
1 2 3
4
Walters WhetherWhatWhyWhenWhereHow Kotler O 1-Occupants
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2-Objects
3-Objectives
4-Organization
5-Operation
6-Occasions
7-Outlets
2.3.3 SOR
SOR SOR
SOR SOR SStimulusOOrganismRResponse SOR SOR 2-7
2-7 S->O->R
1
17
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2
2-8
18
2-8
2-4
2-4
3
Kotler 1 2
3
4 5
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(Kotler 2000) 2-9
19
2-9
Kotler 2-5
2-5
EKB 2-6
2-6
2.3.4 Montgomery & Vrban (Model)
Brass
Brass 1. 2.
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20
3. 4.
Zaltman &Wallendorf 1. 2.
3. 4. 5. 6. 7.
8.
9. 10.
Howard
1. Nicosia Model 2. Howard-Sheth Model 3. EKB Model EBM Model modify EKB
Model(comprehension)(acceptance)
Nicosia ModelHoward-Sheth Model EKB Model EBM Model
Nicosia Model () Nicosia 1966 2-10
1
2
3
4
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21
2-10 Nicosia
Howard-Sheth Model Howard 1936 Sheth 1969 Howard-Sheth Model
(1) (Extensive Problem Solving) (2) (Limited ProblemSolving)(3)(Routine Problem Solving) 2-11 Howard-Sheth Model 1
2
3
4
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2-11 Howard-Sheth Model
Engel-Blackwell-Miniard Model (EBM Model) 1968 Engel, Kollat and Blackwell EKB 1968-1993 1968 Kollat Miniard Engel, Blackwell and Miniard(1993) EKB EBM Nicosia Howard-Sheth Model EKB (exposure)(attention)(retention) EBM (comprehension)(acceptance)Engel, Blackwell and Miniard 1993 EBM EBM
22
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23
2-12 EBM (1)(2)(3) (4)(5)EBM
1EBM
2EBM
3EBM
EBM 1
2
3
4
5
EBM
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1
2 3
4
5
24
2-12 Engel-Blackwell-Miniard (1993)
EBM 1.(Input) 12
2.(Information Processing)
1.
2.
3.
4.
5.
1.
2.
3.
4.
5.
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3.(Decision Process) (problem-solving)
(1) (Motivation and Need-Recognition)
Maslow 1970(Needs Hierarchy Theory)Maslow 2-13
2-13 Maslow
Maslow
(2) (search for information)
25
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26
(3) (alternative evaluation)
a.b.
(consideration set)
EBM a. b.
(4) (purchase)
a.b.c.
(5) (the outcome purchase)
(dissonance) 4. (Decision Process Variables)
EBM
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2.4
1960 (Life Style)
2.4.1
Lazer, William(1963)Lazer
Lazer(1971) 2-14
2-14 Lazer
2-7 2-7
Lazer 1963
Plummer 1974
Berkoman, Gilson 1974
27
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28
Engel, Kollat &
Blackwell 1984
Hawkins, Best & Coney 1986
Kotler 1997
Kotler(1997)(Activity)(Interests)(Opinion)
2.4.2 Engel, Kollat & Blackwell(1982)
Engel, Kollat and Blackwell
2-15
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2-15 ( Engel,et al., Consumer Behavior, 1982 )
HawkinsBest and Coney(1986)
2-16 HawkinsBest and Coney
29
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2-16 ( Hawkins Del i. et al., Consumer Behavior: Implications for Marketing Strategy)
30
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2.4.3 1974 Wind & Green
(Yoram & Paul, 1974) 2-17
2-17 ( Yoram Wind & Paul E. Green, 1974 )
Wind & Green 1974
Reynolds & Darden
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1. AIO
AIO
AIO
2.
Plummer(1974)(Activity)(Interest)(Opinion) 2-7
3.
2-8
Plummer, 1974
Plummer(1974) AIO
(Likert-type Scale)
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33
2.4.4 Wind & Green(1974)
1. 2. AIO 3. 4. 5.
AIO 1971 Wells & Tigert AIO Reynolds &Darden(1974) AIO 2-9
2-9 AIO
(Activity)
(Interests)
(Opinion)
( Reynold F. D., 1974)
Plummer(1974)
2-7 Plummer(1974)
2.4.5
Plummer(1974) 1. 2. 3. 4.
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34
5. 6. 7.
Wells(1971) 1. 2. 3. 4. 5. 6.
Wind & Green(1974) 1.
2. Rudolph W.
Struse(1977) 2-10
2-10
1. 2. 3. 4. (Symbolic) 5. 6.
1. 2. 3. (Commodities) 4. 5.
( Struse, , 1977 )
2.5
2.5.1
Ellen and Warren 1987
Reaching The Senior Citizen Markets
AIO (Activity)
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35
Bone 1991 Identifying Mature Segments
1994
1994
1998
()
Gollub and Javitz 1989 Six Ways to Age
(retirement housing)
1997
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36
1998
1999
AIO
2000
2000
2000
2001
2001
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37
2001
2004
()
2.5.2 2.6.2
2.5.2.1
2-11
2-11
1994
1998
1999
2000
2000
2000
2001
2004
2004
()
2.5.2.2
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2-12
2-12
1998
1999
2000 2000
2004
2004
()
2.5.2.3
2-13
2-13
1999
2000 2000
2001
2004 2004
()
2.5.2.4
2-14
2-14
1998
1999
2000
2000
2000
2001 2001
2004
2004
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39
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40
()
2.5.2.5
2-15
2-15
2001
2004
2004
()
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2. 6
Maslow
1. 2. 3. 4.
1. 2. 3.
Maslow
41
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3.1
3.1.1
EBM EBM Nicosia(1968) Howard-Sheth Model(1969)EKB EBM EBM
Plummer(1974) AIO
Maslow
3-1
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1. 2. 3. 4. 5. 6. 7. 8.
AIO
3. 4.
1. 2.
25
1. 2. 3. 4. 5.
6. 7.
1. 2. 3. 4. 5.
3-1
3.1.2
()
Kotler(2003)
(1)(2)(3)(4)(5)(6)(7)(8)
43
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EBM
1. Maslow(1970)(1)(2)(3)(4)(5)(6)
2. (1)(2)(3) (4)(5) (6) (7) (8)
3. (1)(2)(3) (4)
4. (1998)(1999)(2000)(2000)(2000)(2000)(2001)(2004) 3-1
3-1
(16) (21) (22) (23) (24)
(7)(8)(9)(10)(12)
(1) (2) (3) (4)
(19) (20) (
(11)(13) (17)(25)
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45
(5) (6) (14) (15)(18)
()
(Activity)(Interests)
(Opinion) Lesser & Hughes(1986)
AIO (Likert) 12345
3-2
3-2
()
3.2
1. 1H1
2. 2 H1 2 -1H1 2 -2H1 2 -3H1 2 -4H1 2 -5H1
2 -6H1 2 -7H1 2- 8H1
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46
3. 3 H1
4. 4 H1
5. 5 H1 5 -1H1 5 -2H1 5 -3H1
5 -4H1
6. 6H1
6 -1H1 6 -2H1
6 -3H1
6 -4H1
6 -5H1
6 -6H1
3.3
C
/
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47
1.
3-3
(1) (2)
(1) 65-70 (2) 71~75 (3) 76~80 (4) 81~85 (5) 85
(1) (2) (3) (4)
(1) (2) (3)
(1) (2) (3) (4) (5)
(1) (2) (3) (4) (5) (6) (7) (8)
(1) (2) (3) (4) (5) (6) (7) (8)
(1) (2)
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48
(3) (4) (5) (6) (7)
()
2.
2-1.
3-4
(1) (2) (3) (4) (5) (6)
()
2-2. 3-5
(1) (2) (3) (4) (5) (6) (7) (8)
()
2-3.
3-6
(1) (2) (3) (4) (5)
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49
(6)
(1) (2) (3) (4) (5) (6)
(1) (2) (3) (4)
(1) (2) (3) (4) (5) (6) (7)
()
3. 3-7
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)
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50
(15) (16) () (17) (18) (19) (20) (21) (22) (23) (24) (25)
()
4.
3-8
(1) (2) (3) (4)
(5) (6) (7) (8)
(9) (10)
(11)
(12)
(13)
(14)
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51
(15) (16)
(17)
(18)
(19) (20) (21)
(22)
(23)
(24) (25)
(26)
(27)
(28) (29) (30)
()
3.4
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3-2 (1999)
1. C
2. C 65 604 94 8 95 1
3.
4. Roscoe(1975) (1) (2)
(3)
(4)
Roscoe(1975) 30 300
52
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53
5. 94 8 95 1 796 604 604
3-9 94/08 94/09 94/10 94/11 94/12 95/01
138 131 154 161 116 96 796
91 109 117 114 89 84 604
()
6. 604 469 77.65% 47 422 69.87%
3-10 C 94/08 94/09 94/10 94/11 94/12 95/01
91 109 117 114 89 84 604
74 89 81 94 64 67 469
81.32% 81.65% 69.23% 82.46% 71.91% 79.76% 77.65%
7 11 6 8 11 4 47
67 78 75 86 53 63 422
73.62% 71.56% 64.10% 75.44% 59.55% 75.00% 69.87%
()
3-11 214 50.7% 208 49.3% 422 100.00%
()
3-12
65-70 103 24.4%
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54
71-75 90 21.3% 76-80 92 21.8% 81-85 92 21.8%
85 45 10.7% 422 100.00%
()
3-13 241 57.1% 85 20.1% 91 21.6% 5 1.2%
422 100.00% ()
3-14
111 26.3% 210 49.8%
101 23.9% 422 100.00%
()
3-15
65 15.4% 73 17.3% 119 28.2% 72 17.1%
93 22.0% 422 100.00%
()
3-16 63 14.9% 19 4.5%
7 1.7% 8 1.9%
74 17.5% 88 20.9%
148 35.1% 15 3.6% 422 100.00%
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55
()
3-17 36 8.5% 79 18.7% 182 43.1% 77 18.2% 31 7.3%
4 0.9% 13 3.1% 422 100.00%
()
3-18
108 25.6% 121 28.7% 61 15.9% 73 17.3% 8 1.9% 7 1.7%
38 9.0% 422 100.00%
()
3.5
67 422 SPSS
SPSS10.07C
2001 1. (Frequency Distribution)
2. KMO Bartlett
422
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56
3. (Factor Analysis)
4. Cronbach
5. (Cluster Analysis)
(Non-hierarchical) K-Means
6. (Discriminant Analysis)
Wilks Lambda
7. (Chi-square)
5 5%(1)(2)(3)(4)
8. (One-Way ANOVA Analysis)
9. (Scheffe)
3-3
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AIO
N
KMO Bartlett
KMO
Bartlett
3-3
3.6
3.6.1 (Validity)
(American Psychological Association, 1974)(content validity)(criterion-relation validity)(construct validity) 1.(content validity)
57
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2.(criterion-relation validity) (predictive)(concurrent validity)
3.(construct validity)
Lesser and Hughes(1986)
3.6.2 (reliability)(consistency)(stability)
1988
3-19
3-19
Kuder-Richardson Cronbach Alpha
(, 1998)
L. J. Cronbach Cronbach Cronbach 0.8
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59
0.8 0.5 0.35 Guielford Cronbach 0.7 0.7 0.35 0.35 Cronbach 3-21 3-22 0.7
3-20 Cronbach 4911262728 0.8604 1920212223 0.8815 1012131418 0.8339 3530 0.9017 678 0.9056 151617 0.8872 242529 0.7995 12 0.7809
0.7276
()
3-21 Cronbach 1621222324 0.8931 7891012 0.8557 1234 0.8850 1920 0.8529 11131725 0.7780 56141518 0.7296
0.7706
()
3.7
C
EBM
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60
422SPSS
4.1
4.1.1 4-1
4-1 (%) 202 47.9 47 11.1 52 12.3 86 20.4 35 8.3 422 100
()
4.1.2 4-2
4-2 (%) 143 33.9 165 39.1 () 20 4.7 10 2.4 () 29 6.9 30 7.1 25 5.9 422 100
()
4.1.3 1. 4-3 4-3 (%) () 172 40.8 () 76 18
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61
() 62 14.7 () 40 9.5 () 31 7.3 41 9.7 422 100
()
2. 4-4 4-4 (%) () 119 28.2 () 172 40.8 () 102 24.2 () 15 3.6 () 10 2.4 4 0.9 422 100 ()
3. 4-5 4-5 (%) 129 30.6 135 32 158 37.4 422 100
()
4. 4-6 4-6 (%) 171 40.5 152 30.6 38 9.0 36 8.5 4 0.9 16 3.8 5 1.2 422 100
()
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4.2
4.2.1
KMO (Kaiser-Meyer-Olkin Measure of Sampling Adequacy)Barlett (Barlett Test of Sphericity)KMOKMO0.6(Tabachinick & Fidell, 1996)KMO0.5(Kaiser, 1974),4-7
4-7 KMO KMO < 0.5 Unacceptable 0.5 KMO < 0.6 Miserable 0.6 KMO < 0.7 Mediocre 0.7 KMO < 0.8 Middling 0.8 KMO < 0.9 Meritorious 0.9 KMO Marvelous
()
(Principal Components Analysis)
(Varimax Method)(Orthogonal Rotation)
Zaltman & Burger (1975)10.340%Joseph, Rolph & Ronald (1987)0.30.40.5Overall & Klett (1972)0.35Rothman(1989)0.3
0.5
KMO=0.849Kaiser(1974)(meritorious)Barlett0.0004-8
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63
4-8 KMOBarlett KMO KMO 0.849 Barlett 0.000*
( *=0.05)
10.570.450%0.69244-9
4-9 (%) (%) Cronbach 5.343 16.190 16.190 3.792 11.490 27.680 3.193 9.674 37.355 2.946 8.927 46.282 1.635 4.956 51.238 1.423 4.314 55.551 1.290 3.909 59.461 0.942 2.855 62.316
0.7276
()
1. 4-100.6
4-10 Cronbach 0.8604 28 0.886 4 0.797 9 0.759 26 0.743 27 0.678 11 0.670
()
2. 4-110.7
4-11 Cronbach 0.8604
-
64
21 0.846 20 0.829 22 0.784 23 0.781 19 0.750
()
3. 4-120.7
4-12 Cronbach 0.8339 10 0.816 14 0.782 12 0.767 13 0.727 18 0.709
()
4. 4-130.8
4-13 Cronbach 0.8604 3 0.925 30 0.881 5 0.875
()
5. 4-140.8
4-14 Cronbach 0.8604 6 0.815
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65
7 0.781 8 0.675
()
6. 4-150.8
4-15 Cronbach 0.8872 16 0.927 15 0.879 17 0.872
()
7. 4-160.8
4-16 Cronbach 0.7995 29 0.827 24 0.778 25 0.777
()
8. 4-170.8
4-17 Cronbach 0.7809 1 0.888 2 0.862
()
4-18 4911262728
-
66
1920212223 1012131418 3530 678 151617 242529 12
()
4.2.2
(Hierarchical Methods)(Nono-Hierarchical Methods)K-Means(200)K-Means(Icicel Plots)(Dendrograms)(2003)4.2.1K-Means
Everitt(1980)
(Linkage Methods)Afifi(1990)Ward(1963)F
Ward(1963)20(Minimun Variance Method)
Wilks Lambda4-19Wilks Lambda0.1170.6094-20
4-19 Wilks Lambda Wilks Lambda 0.609 0.117 0.072 0.046 0.031 0.017 0.013
-
67
()
spss4-20
4-20
242 57.35% 142 33.65% 38 9.00% 422 100.00%
()
4.2.3
(Fishers Method)(Mahalanobis D2 Method)Fishers Method(2000)
(Classification Matrix)(Confusion Matrix)(Hit Ratio)R2
4-2197.37%98.59%97.11%97.63%
4-21
2
(0.826%) 5 (2.07%)
235 (97.11%)
242 (100.00%)
2 (1.40%)
140 (98.59%)
1 (0.70%)
142 (100.00%)
37
(97.37%) 0 (0.00%)
1 (2.63%)
38 (100.00%)
(37+140+235)/422=97.63% ()
4.2.4 1H0:
1H01H1
-
68
1H1
4-22P0.0000.05
4-23
4-22 P Wilks Lambda 0.100 958.512 7 0.000* =0.05 *P
-
69
2.
3.
(Scheffe Test)4-244-24
4-24 Scheffs 0.000* 0.010* 0.928 0.008* 0.319 0.504 0.000* 0.000* 0.000* 0.193 0.022* 0.000* 0.000* 0.000* 0.000* 0.001* 0.000* 0.003* 0.000* 0.248 0.000* 0.829 0.016* 0.002* =0.05 *P
-
70
4-25
242
142
38
4.3 2H1
(Pearson X2)
4.3.1 2-1H0:
2-1H0
2-1H1
(Pearson X2)=0.052-1H04-26
4-26 ()
()
129 (53.3%)
72 (50.7%)
13 (34.2%)
214 (50.7%)
113 (46.7%)
70 (49.3%)
25 (65.7%)
208 (49.3%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=1=4.791P>0.052-1H0
-
71
()
1.42250.7% 49.3%
2.5 3.3%46.7%50.7%49.3%34.2%65.7%
4.3.2 2-2H0:
2-2H0
2-2H1
(Pearson X2)=0.052-2H04-27
4-27 ()
()
65-70 75 (31.0%)
28 (19.7%)
3 (7.9%)
105 (24.9%)
71-75 70 (29.8%)
20 (14.1%)
2 (5.3%)
91 (21.6%)
76-80 50 (20.7%)
33 (23.2%)
9 (23.7%)
92 (21.8%)
81-85 41 (16.9%)
32 (22.5%)
14 (36.8)
89 (21.1%)
85 6 (13.3%)
29 (64.4%)
10 (26.3%)
45 (10.7%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=4=86.47P=0.000
-
72
4.3.3 2-3H0:
2-3H0
2-3H1
(Pearson X2)=0.052-2H0
4-28
4-28 ()
()
120 (49.6%)
87 (61.3%)
34 (98.5%)
241 (57.1%)
() 43 (17.8%)
42 (29.6%)
0 (0.0%)
85 (20.1%)
() 78 (32.2%)
9 (6.3%)
4 (10.5%)
91 (21.6%)
1 (0.4%)
4 (2.8%)
0 (0.0)
89 (1.2%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=3=59.447P=0.000
-
73
4-29 ()
()
54 (22.3%)
45 (31.7%)
12 (31.6%)
111 (26.3%)
45 (18.6%)
54 (38.0%)
2 (5.3%)
101 (23.9%)
143 (59.1%)
43 (30.3%)
24 (63.2%)
210 (49.8%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=2=40.067P=0.000
-
74
27 (11.2%)
45 (31.7%)
3 (7.9%)
75 (17.8%)
43 (17.8%)
30 (21.1%)
20 (52.6%)
93 (22.0%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=4=105.326P=0.000
-
75
92 (38.0%)
25 (17.6%)
31 (81.6%)
148 (35.1%)
7 (2.9%)
1 (0.7%)
0 (0.0%)
8 (1.8%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=7=105.140P=0.000
-
76
1.42243.1%18.7%18.2%0.9%
2.
86.8%
4.3.8 2-8H0:
2-8H0
2-8H1
(Pearson X2)=0.052-8H0
4-33
4-33 ()
()
() 45 (18.6%)
17 (12.0%)
5 (13.2%)
67 (15.9%)
() 30 (12.4%)
70 (49.3%)
8 (21.1%)
108 (25.6%)
() 73 (30.2%)
37 (26.1%)
11 (28.9%)
121 (28.7%)
() 47 (19.4%)
14 (8.5%)
12 (36.8%)
73 (17.3%)
() 6 (2.5%)
2 (1.4%)
0 (0.0%)
8 (1.9%)
() 3 (1.2%)
4 (2.8%)
0 (0.0%)
7 (1.7%)
38 (15.7%)
0 (0.0%)
0 (0.0%)
38 (9.0%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=6=105.140P=0.000
-
77
26.1%()36.8%()28.9%
4.4 3H0:
3H0
3H1
(Pearson X2)=0.053H04-34
4-34 ()
()
90 (37.2%)
94 (66.2%)
18 (47.4%)
202 (47.9%)
17 (7.0%)
22 (15.5%)
8 (21.1%)
47 (11.1%)
43 (17.8%)
1 (0.7%)
8 (21.1%)
52 (12.3%)
60 (24.8%)
22 (15.5%)
4 (10.5%)
86 (20.4%)
32 (13.2%)
3 (2.1%)
0 (0.0%)
35 (8.3%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=4=71.482P=0.000
-
78
4-35
4-35 ()
()
99 (40.9%)
31 (21.8%)
13 (34.2%)
143 (33.9%)
73 (30.2%)
77 (54.2%)
15 (39.5%)
165 (39.1%)
() 15 (6.2%)
3 (2.1%)
2 (5.3%)
20 (4.7%)
7 (2.9%)
1 (0.7%)
2 (5.3%)
10 (2.4%)
() 20 (8.3%)
9 (6.3%)
0 (0.0%)
29 (6.9%)
16 (6.6%)
9 (6.3%)
5 (13.2%)
30 (7.1%)
12 (5.0%)
12 (8.5%)
1 (2.6%)
25 (5.9%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=6=105.140P=0.000
-
79
4-36
4-36 ()
()
26 (10.4%)
27 (19.6%)
9 (23.7%)
62 (14.7%)
39 (16.2%)
36 (25.2%)
1 (2.6%)
76 (18.0%)
122 (50.6%)
39 (27.3%)
11 (29.8%)
172 (40.8%)
20 (8.3%)
16 (11.2%)
4 (10.5%)
40 (9.5%)
11 (4.6%)
12 (8.4%)
8 (21.1%)
31 (7.3%)
24 (10.0%)
12 (8.4%)
5 (13.2%)
41 (9.7%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=5=44.469P=0.000
-
80
4-37 ()
()
66 (27.4%)
50 (35.0%)
3 (7.9%)
119 (28.2%)
107 (44.4%)
43 (30.1%)
22 (57.9%)
172 (40.8%)
50 (20.3%)
40 (28.7%)
12 (31.6%)
102 (24.2%)
11 (4.6%)
4 (2.8%)
0 (0.0%)
15 (3.6%)
6 (2.5%)
4 (2.8%)
0 (0.0%)
10 (2.4%)
2 (0.8%)
1 (0.7%)
1 (2.8)
4 (0.9%)
()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=5=23.557P=0.009
-
81
(59.1%) (30.3%) (55.3%) (49.8%) ()
242 (57.3%)
142 (33.7%)
38 (9.0%)
422 (100%)
=2=70.588P=0.000
-
82
1.42240.5%36.0%9.0%0.9%
2.49.0%29.0%51.0%23.1%52.6%23.7%
4.7 6H0: 6H1
6H1
25
4.7.1 25
0.54.2.1
KMO=0.780Kaiser(1974)(Middling)25Barlett0.000254-40
4-40 KMOBarlett KMO KMO 0.780 Barlett 0.000* ( *=0.05)
10.569.472%0.72764-41
4-41 (%) (%) Cronbach 4.631 29.926 29.926 3.792 13.211 43.137 3.193 9.674 51.814 2.946 8.927 58.982
0.7276
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1. 4-420.6
4-42 Cronbach 0.8104 23 0.852 22 0.829 21 0.773 24 0.741 16 () 0.653
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2. 4-43 0.5
4-43 Cronbach 0.7904 10 0.692 12 0.682 7 0.677 8 0.626 9 0.589
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3. 4-44 0.6
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84
4-44 Cronbach 0.8884 2 0.863 1 0.811 3 0.773 4 0.658
()
4. 4-450.8
4-45 Cronbach 0.8924 19 0.925 20 ( 0.899
()
5. 4-46 0.5
4-46 Cronbach 0.7904 25 0.692 11 0.672 13 0.617 17 0.526
()
6. 4-47 0.4
4-47
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Cronbach 0.7904 6 0.787 5 0.682 14
0.477
15 0.461 18 0.435
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4-48 1621222324 7891012 1234 1920 11131725 56141518
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4.7.2 6H0:
6H06H1
6H1
4-49P0.0000.05
4-50
4-49 P Wilks Lambda 0.100 958.512 5 P
-
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4-50
F P
0.105 0.047 0.207 4.579 0.011* 0.316 0.047 -0.249 16.905 0.014* 0.126 -0.048 0.065 17.472 0.001* 0.012 -0.183 -0.324 13.801 0.017* -0.175 0.183 0.127 15.721 0.006* -0.331 0.884 0.334 9.727 0.008* =0.05 * P
-
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4-51
4-51 Scheffs 0.858 0.038* 0.048* 0.004* 0.019* 0.014* 0.002* 0.000* 0.068 0.193 0.022* 0.080 0.000* 0.054* 0.000* 0.001* 0.088 0.003* =0.05 *P
-
88
2-5H1
P
-
89
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242 (57.3%)
142 (33.7%)
38 (9.0%)
()29.6%
98.5%
1-2
2-3
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81.6%
86.8%
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-
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104
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