• Tidak ada hasil yang ditemukan

APPENDIX A RESEARCH QUESTIONNAIRES. Pengaruh Loyalitas Pelanggan terhadap Advokasi Pelanggan di Industri Musik K-Pop

N/A
N/A
Protected

Academic year: 2021

Membagikan "APPENDIX A RESEARCH QUESTIONNAIRES. Pengaruh Loyalitas Pelanggan terhadap Advokasi Pelanggan di Industri Musik K-Pop"

Copied!
37
0
0

Teks penuh

(1)

APPENDIX A

RESEARCH QUESTIONNAIRES

Pengaruh Loyalitas Pelanggan terhadap Advokasi Pelanggan di Industri

Musik K-Pop

Assalamualaikum Wr. Wb.

Perkenalkan saya Revalia, mahasiswi International Program Universitas Islam

Indonesia 2015 yang sedang melakukan penelitian tentang keterkaitan hubungan

loyalitas konsumen dengan advokasi konsumen di bidang musik Korean pop

(K-Pop). Dengan begitu, saya selaku peneliti meminta ketersediaan teman-teman untuk

mengisi kuisioner di bawah ini dengan sejujur - jujurnya. Adapun hasil dari

penelitian ini nantinya akan digunakan dengan bijak untuk keperluan tugas

akhir/skripsi peneliti. Terima kasih atas bantuan teman-teman

!✨

Wassalamualaikum Wr.Wb.

Hormat Saya,

Revalia Hanifah

Jenis Kelamin

Usia

• 15 - 17 tahun

• 18 - 21 tahun

• 22 - 24 tahun

Domisili kota,

……….

Apakah anda familiar dengan musik K-POP?

YA | TIDAK

Diantara boygroup/girlgroup korea dibawah ini, manakah idol yang paling anda

kenal?

• BTS

• BLACKPINK

• IKON

• EXO

Female

Male

(2)

A.

Perilaku terhadap pesona dan keahlian seseorang

Pilihlah jawaban dibawah ini yang paling menggambarkan perasaan atau situasi

Anda alami. Berikan jawaban yang sejujur-jujurnya dengan cara memilih salah satu

jawaban pada pilihan jawaban yang tersedia.

Keterangan:

1= sangat tidak setuju

2= tidak setuju

3= netral

4= setuju

5= sangat setuju sekali

Kode

Pernyataan

Sangat

tidak setuju

Sangat

setuju

VT1

Saya langsung jatuh cinta saat pertama kali

melihat cara berpenampilan dan berbusana idola

saya.

1

2

3

4

5

VT2

Saya menyukai idola saya karena wajah

tampan/cantic.

1

2

3

4

5

VT3

Saya terobsesi dengan keahlian menyanyi idola

saya.

1

2

3

4

5

VT4

Saya menyukai idola saya karena keahlian

menari mereka.

1

2

3

4

5

B.

Perilaku mencari Tahu hal baru

Pilihlah jawaban dibawah ini yang paling menggambarkan perasaan atau situasi

Anda alami. Berikan jawaban yang sejujur-jujurnya dengan cara memilih salah satu

jawaban pada pilihan jawaban yang tersedia.

Keterangan:

1= sangat tidak setuju

2= tidak setuju

3= netral

4= setuju

(3)

5= sangat setuju sekali

Kode

Pernyataan

Sangat

Setuju

Sangat tidak

setuju

VS1

Saya akan tetap mengidolakan idola saya,

meskipun banyak artis pendatang baru yang lebih

dari idola saya.

1

2

3

4

5

VS2

Saya benar-benar menyukai idola saya, dan tidak

akan beralih hanya untuk mencoba musik orang

lain.

1

2

3

4

5

VS3

Saya cenderung membeli album / lagu yang dirilis

oleh idola yang sangat saya sukai daripada milik

idola lain.

1

2

3

4

5

VS4

Saya akan selalu mendengarkan lagu idola saya

meskipun genre lagu sudah berubah.

1

2

3

4

5

C. Pengaruh teman sebaya dalam bertindak

Pilihlah jawaban dibawah ini yang paling menggambarkan perasaan atau situasi

Anda alami. Berikan jawaban yang sejujur-jujurnya dengan cara memilih salah satu

jawaban pada pilihan jawaban yang tersedia.

Keterangan:

1= sangat tidak setuju

2= tidak setuju

3= netral

4= setuju

5= sangat setuju sekali

Kode

Pernyataan

Sangat tidak

setuju

Sangat

setuju

PN1

Teman terdekat saya akan menyetujui pilihan saya

untuk mengidolakan satu idola saya.

(4)

PN2

Teman terdekat saya, berpikir tidak apa-apa

mengidolakan seseorang.

1

2

3

4

5

PN3

Teman terdekat saya akan menghargai semua

tindakan yang saya ambil untuk idola saya.

1

2

3

4

5

PN4

Saya merasa nyaman untuk bercerita tentang idola

saya kepada teman terdekat saya.

1

2

3

4

5

D. Dampak kedekatan idola dan penggemar

Pilihlah jawaban dibawah ini yang paling menggambarkan perasaan atau situasi

Anda alami. Berikan jawaban yang sejujur-jujurnya dengan cara memilih salah satu

jawaban pada pilihan jawaban yang tersedia.

Keterangan:

1= sangat tidak setuju

2= tidak setuju

3= netral

4= setuju

5= sangat setuju sekali

Kode

Pernyataan

Sangat

tidak setuju

Sangat

setuju

IA1

Saya merasa lebih baik jika dekat dengan idola

saya.

1

2

3

4

5

IA2

Saya merasa terhubung secara pribadi dengan

idola saya ketika saya melihat postingan mereka di

media social.

1

2

3

4

5

IA3

Saya merasa seperti merindukan idola saya ketika

dia tidak memposting video / foto di media social

mereka.

1

2

3

4

5

IA4

Saya merasa sedih bila mendengar kabar idola

saya memiliki suatu hubungan (berpacaran)

dengan artis lain.

(5)

E. Pengaruh loyalitas konsumen

Pilihlah jawaban dibawah ini yang paling menggambarkan perasaan atau situasi

Anda alami. Berikan jawaban yang sejujur-jujurnya dengan cara memilih salah satu

jawaban pada pilihan jawaban yang tersedia.

Keterangan:

1= sangat tidak setuju

2= tidak setuju

3= netral

4= setuju

5= sangat setuju sekali

Kode

Pernyataan

Sangat tidak

setuju

Sangat

setuju

CL1

Jika idola saya muncul di suatu TV Program, saya

pasti menontonnya.

1

2

3

4

5

CL2

Saya rela bangun hingga tengah malam/pagi hari

hanya untuk mendengarkan perilisan music idola

saya untuk pertama kalinya.

1

2

3

4

5

CL3

Saya akan terus membeli produk musik yang

disebarkan / dijual secara legal oleh idola saya.

1

2

3

4

5

CL4

Saya berencana untuk membeli serangkaian karya

yang dirilis idola saya seperti album / lagu /

merchandise baru untuk kedepannya meskipun

saya tidak tahu apakah akan bagus atau tidak.

1

2

3

4

5

F. Pengaruh advokasi konsumen

Pilihlah jawaban dibawah ini yang paling menggambarkan perasaan atau situasi

Anda alami. Berikan jawaban yang sejujur-jujurnya dengan cara memilih salah satu

jawaban pada pilihan jawaban yang tersedia.

Keterangan:

1= sangat tidak setuju

2= tidak setuju

(6)

3= netral

4= setuju

5= sangat setuju sekali

Kode

Pernyataan

Sangat

tidak setuju

Sangat

setuju

CA1

Saya akan membagikan pendapat saya setelah

mendengar musik idola saya di media social saya.

1

2

3

4

5

CA2

Saya akan memberi tahu teman-teman saya jika

saya menyukai musik / karya terbaru idola saya.

1

2

3

4

5

CA3

Saya akan selalu membagikan cerita positif

tentang idola saya.

1

2

3

4

5

CA4

Saya akan merekomendasikan kepada teman saya

untuk membeli produk tersebut atau bahkan hanya

mendengarkan lagu idola saya.

(7)

APPENDIX B

VALIDITY & RELIABILITY TEST OF RESEARCH INSTRUMENTS

(SPSS)

Pilot Test with 30 Respondents

Scale: Vanity Traits (Physical Traits) Case Processing Summary

N % Cases Valid 29 100.0 Excludeda 0 .0 Total 29 100.0 Reliability Statistics Cronbach's Alpha

Cronbach's Alpha Based

on Standardized Items N of Items

.782 .796 2

Item Statistics

Mean Std. Deviation N

VT1 3.28 1.032 29

VT2 3.83 .805 29

Inter-Item Correlation Matrix

VT1 VT2 VT1 1.000 .662 VT2 .662 1.000 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted VT1 3.83 .648 .662 .438 . VT2 3.28 1.064 .662 .438 . RELIABILITY /VARIABLES=VT3 VT4

/SCALE('Vanity Traits (Achievement Traits)') ALL /MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE CORR ANOVA COCHRAN /SUMMARY=TOTAL MEANS CORR.

a. Listwise deletion based on all variables in the procedure.

(8)

Scale: Vanity Traits (Achievement Traits) Case Processing Summary

N % Cases Valid 29 100.0 Excludeda 0 .0 Total 29 100.0 Reliability Statistics Cronbach's Alpha

Cronbach's Alpha Based

on Standardized Items N of Items

.659 .663 2

Item Statistics

Mean Std. Deviation N

VT3 3.59 .983 29

VT4 3.86 1.125 29

Inter-Item Correlation Matrix

VT3 VT4 VT3 1.000 .496 VT4 .496 1.000 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted VT3 3.86 1.266 .496 .246 . VT4 3.59 .966 .496 .246 . RELIABILITY /VARIABLES=VS1 VS2 VS3 VS4 /SCALE('Variety Seeking') ALL /MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE CORR COV ANOVA COCHRAN /SUMMARY=TOTAL MEANS CORR.

a. Listwise deletion based on all variables in the procedure.

(9)

Scale: Variety Seeking Case Processing Summary

N % Cases Valid 29 100.0 Excludeda 0 .0 Total 29 100.0 Reliability Statistics Cronbach's Alpha

Cronbach's Alpha Based

on Standardized Items N of Items

.713 .731 4 Item Statistics Mean Std. Deviation N VS1 3.86 1.026 29 VS2 2.93 1.252 29 VS3 3.48 1.353 29 VS4 3.97 .944 29

Inter-Item Correlation Matrix

VS1 VS2 VS3 VS4 VS1 1.000 .660 .410 .437 VS2 .660 1.000 .252 .512 VS3 .410 .252 1.000 .153 VS4 .437 .512 .153 1.000 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted VS1 10.38 6.744 .691 .511 .546 VS2 11.31 6.150 .605 .497 .580 VS3 10.76 7.261 .327 .169 .775 VS4 10.28 8.135 .455 .280 .680 RELIABILITY /VARIABLES=PN1 PN2 PN3 PN4 /SCALE('Peer Norms') ALL /MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE CORR COV ANOVA COCHRAN /SUMMARY=TOTAL MEANS CORR.

a. Listwise deletion based on all variables in the procedure.

(10)

Scale: Peer Norms

Case Processing Summary

N % Cases Valid 29 100.0 Excludeda 0 .0 Total 29 100.0 Reliability Statistics Cronbach's Alpha

Cronbach's Alpha Based on Standardized Items N of Items .866 .867 4 Item Statistics Mean Std. Deviation N PN1 3.72 .841 29 PN2 4.07 .923 29 PN3 3.59 .907 29 PN4 3.83 1.002 29

Inter-Item Correlation Matrix

PN1 PN2 PN3 PN4 PN1 1.000 .716 .547 .620 PN2 .716 1.000 .547 .708 PN3 .547 .547 1.000 .586 PN4 .620 .708 .586 1.000 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted PN1 11.48 5.973 .728 .557 .827 PN2 11.14 5.480 .772 .630 .806 PN3 11.62 6.030 .633 .405 .862 PN4 11.38 5.244 .745 .568 .819 RELIABILITY

/VARIABLES=IA1 IA2 IA3 IA4 /SCALE('Idol Attachment') ALL /MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE CORR COV ANOVA COCHRAN /SUMMARY=TOTAL MEANS CORR.

a. Listwise deletion based on all variables in the procedure.

(11)

Scale: Idol Attachment Case Processing Summary

N % Cases Valid 29 100.0 Excludeda 0 .0 Total 29 100.0 Reliability Statistics Cronbach's Alpha Cronbach's Alpha Based on

Standardized Items N of Items

.822 .819 4 Item Statistics Mean Std. Deviation N IA1 3.72 .960 29 IA2 3.28 1.192 29 IA3 3.31 1.168 29 IA4 2.34 1.203 29

Inter-Item Correlation Matrix

IA1 IA2 IA3 IA4

IA1 1.000 .506 .429 .333 IA2 .506 1.000 .757 .504 IA3 .429 .757 1.000 .658 IA4 .333 .504 .658 1.000 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted IA1 8.93 9.638 .485 .265 .841 IA2 9.38 7.315 .731 .613 .734 IA3 9.34 7.163 .787 .676 .706 IA4 10.31 7.936 .599 .436 .799 RELIABILITY /VARIABLES=CL1 CL2 CL3 CL4 /SCALE('Customer Loyalty') ALL /MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE CORR COV ANOVA COCHRAN /SUMMARY=TOTAL MEANS CORR.

a. Listwise deletion based on all variables in the procedure.

(12)

Scale: Customer Loyalty Case Processing Summary

N % Cases Valid 29 100.0 Excludeda 0 .0 Total 29 100.0 Reliability Statistics Cronbach's Alpha

Cronbach's Alpha Based

on Standardized Items N of Items

.802 .801 4 Item Statistics Mean Std. Deviation N CL1 3.86 .990 29 CL2 3.10 1.205 29 CL3 3.10 .939 29 CL4 2.93 1.100 29

Inter-Item Correlation Matrix

CL1 CL2 CL3 CL4 CL1 1.000 .581 .400 .385 CL2 .581 1.000 .590 .598 CL3 .400 .590 1.000 .457 CL4 .385 .598 .457 1.000 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted CL1 9.14 7.409 .551 .344 .782 CL2 9.90 5.596 .755 .571 .677 CL3 9.90 7.453 .589 .369 .767 CL4 10.07 6.781 .588 .376 .767 RELIABILITY

/VARIABLES=CA1 CA2 CA3 CA4 /SCALE('Customer Advocacy') ALL /MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE CORR COV ANOVA COCHRAN /SUMMARY=TOTAL MEANS CORR.

a. Listwise deletion based on all variables in the procedure.

(13)

Scale: Customer Advocacy Case Processing Summary

N % Cases Valid 29 100.0 Excludeda 0 .0 Total 29 100.0 Reliability Statistics Cronbach's Alpha

Cronbach's Alpha Based on Standardized Items N of Items .767 .773 4 Item Statistics Mean Std. Deviation N CA1 3.59 1.053 29 CA2 3.86 .953 29 CA3 3.79 .902 29 CA4 3.41 1.086 29

Inter-Item Correlation Matrix

CA1 CA2 CA3 CA4

CA1 1.000 .475 .622 .374 CA2 .475 1.000 .506 .471 CA3 .622 .506 1.000 .309 CA4 .374 .471 .309 1.000 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Squared Multiple Correlation Cronbach's Alpha if Item Deleted CA1 11.07 5.352 .613 .438 .687 CA2 10.79 5.741 .612 .382 .690 CA3 10.86 5.980 .602 .444 .698 CA4 11.24 5.833 .464 .251 .772

a. Listwise deletion based on all variables in the procedure.

(14)

APPENDIX C

VALIDITY & RELIABILITY TEST OF RESEARCH INSTRUMENTS

(AMOS)

Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label VT1 <--- Vanity_Traits 1.000

VT2 <--- Vanity_Traits 1.326 .251 5.286 *** VT3 <--- Vanity_Traits 1.656 .293 5.646 *** VT4 <--- Vanity_Traits .810 .101 8.048 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate VT1 <--- Vanity_Traits .505 VT2 <--- Vanity_Traits .692 VT3 <--- Vanity_Traits .853 VT4 <--- Vanity_Traits .503

Covariances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label e2 <--> e3 -.290 .086 -3.375 ***

Correlations: (Group number 1 - Default model)

Estimate e2 <--> e3 -.830

Variances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label Vanity_Traits .249 .059 4.206 ***

e1 .725 .063 11.445 ***

e2 .477 .091 5.228 ***

e3 .256 .114 2.251 .024

(15)

Item

Loading

Factor (l) Standard Error (e) S(l) S( (e) Construct Reliability

VT1 0.505 0.725 2.553 1.939 0.770717

VT2 0.692 0.477

VT3 0.853 0.256

VT4 0.503 0.481

Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label VS1 <--- Variety_Seeking 1.000

VS2 <--- Variety_Seeking 1.607 .197 8.155 *** VS3 <--- Variety_Seeking 1.389 .179 7.747 *** VS4 <--- Variety_Seeking 1.279 .162 7.886 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate VS1 <--- Variety_Seeking .526 VS2 <--- Variety_Seeking .730 VS3 <--- Variety_Seeking .609 VS4 <--- Variety_Seeking .634

Variances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label Variety_Seeking .185 .039 4.791 ***

e1 .483 .040 12.102 ***

e2 .417 .052 7.964 ***

e3 .604 .055 10.924 ***

(16)

Item

Loading

Factor (l) Standard Error (e) S(l) S( (e) Construct Reliability

VS1 0.526 0.483 2.499 1.955 0.761585

VS2 0.73 0.417

VS3 0.609 0.604

VS4 0.634 0.451

Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label PN1 <--- Peer_Norm 1.000

PN2 <--- Peer_Norm 1.416 .125 11.305 *** PN3 <--- Peer_Norm 1.256 .113 11.140 *** PN4 <--- Peer_Norm .935 .108 8.670 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate PN1 <--- Peer_Norm .610 PN2 <--- Peer_Norm .851 PN3 <--- Peer_Norm .756 PN4 <--- Peer_Norm .530

Variances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label Peer_Norm .288 .047 6.141 *** e1 .485 .039 12.282 ***

e2 .220 .037 5.924 ***

e3 .340 .036 9.356 ***

(17)

Item

Loading Factor (l)

Standard

Error (e) S(l) S( (e) Construct Reliability

PN1 0.610 0.485 2.747 1.689 0.817109

PN2 0.851 0.220

PN3 0.756 0.340

PN4 0.530 0.644

Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label IA1 <--- Idol_Attachment 1.000

IA2 <--- Idol_Attachment 1.096 .114 9.600 *** IA3 <--- Idol_Attachment 1.240 .124 10.024 *** IA4 <--- Idol_Attachment .985 .109 9.002 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate IA1 <--- Idol_Attachment .665 IA2 <--- Idol_Attachment .647 IA3 <--- Idol_Attachment .717 IA4 <--- Idol_Attachment .587

Variances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label Idol_Attachment .314 .049 6.360 ***

e1 .397 .039 10.296 ***

e2 .526 .049 10.667 ***

e3 .457 .051 9.017 ***

(18)

Item

Loading Factor (l)

Standard

Error (e) S(l) S( (e) Construct Reliability

IA1 0.665 0.397 2.616 1.96 0.77736

IA2 0.647 0.526

IA3 0.717 0.457

IA4 0.587 0.580

Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label CL1 <--- Customer_Loyalty 1.000

CL2 <--- Customer_Loyalty 1.683 .187 8.981 *** CL3 <--- Customer_Loyalty 1.386 .157 8.848 *** CL4 <--- Customer_Loyalty 1.444 .161 8.958 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate CL1 <--- Customer_Loyalty .547 CL2 <--- Customer_Loyalty .713 CL3 <--- Customer_Loyalty .686 CL4 <--- Customer_Loyalty .708

Variances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label Customer_Loyalty .243 .047 5.174 ***

e1 .568 .046 12.276 ***

e2 .664 .070 9.485 ***

e3 .525 .052 10.164 ***

(19)

Item

Loading Factor (l)

Standard

Error (e) S(l) S( (e) Construct Reliability

CL1 0.547 0.568 2.654 2.26 0.757086

CL2 0.713 0.664

CL3 0.686 0.525

CL4 0.708 0.503

Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label CA1 <--- Customer_Advocacy 1.000

CA2 <--- Customer_Advocacy 1.132 .102 11.096 *** CA3 <--- Customer_Advocacy .807 .084 9.640 *** CA4 <--- Customer_Advocacy 1.029 .099 10.385 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate CA1 <--- Customer_Advocacy .654 CA2 <--- Customer_Advocacy .795 CA3 <--- Customer_Advocacy .604 CA4 <--- Customer_Advocacy .668

Variances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label Customer_Advocacy .466 .072 6.481 ***

e1 .623 .056 11.152 ***

e2 .349 .047 7.444 ***

e3 .529 .044 11.893 ***

(20)

Item

Loading Factor (l)

Standard

Error (e) S(l) S( (e) Construct Reliability

CA1 0.654 0.623 2.721 2.114 0.777891

CA2 0.795 0.349

CA3 0.604 0.529

(21)

APPENDIX D

OUTPUT OF FULL MODEL ANALYSIS (AMOS)

Analysis Summary Date and Time

Date: Sunday, April 21, 2019 Time: 4:38:52 PM

Title

model amos: Sunday, April 21, 2019 4:38 PM

Groups

Group number 1 (Group number 1) Notes for Group (Group number 1)

The model is recursive. Sample size = 400

Variable Summary (Group number 1)

Your model contains the following variables (Group number 1)

Observed, endogenous variables VT2 VT1 VT4 VT3 VS4 VS3 VS2 VS1 PN1 PN2 PN3 PN4 IA1 IA2 IA3

(22)

IA4 CL4 CL3 CL2 CL1 CA1 CA2 CA3 CA4

Unobserved, endogenous variables Idol_Attachment

Customer_Loyalty Customer_Advocacy

Unobserved, exogenous variables Physical_Vanity e2 e1 Achiv__Vanity e4 e3 Variety_Seeking e8 e7 e6 e5 Peer_Norm e9 e10 e11 e12 e13 14 15 e16 e20 e19 e18 e17 e21 e22 e23 e24 z1 z2 z3

Variable counts (Group number 1)

Number of variables in your model: 58 Number of observed variables: 24 Number of unobserved variables: 34 Number of exogenous variables: 31 Number of endogenous variables: 27

(23)

Parameter Summary (Group number 1)

Weights Covariances Variances Means Intercepts Total

Fixed 34 0 0 0 0 34

Labeled 0 0 0 0 0 0

Unlabeled 23 8 31 0 0 62

Total 57 8 31 0 0 96

Assessment of normality (Group number 1)

Variable min max skew c.r. kurtosis c.r.

CA4 1.000 5.000 -.401 -3.271 -.404 -1.651 CA3 1.000 5.000 -.946 -7.721 .115 .470 CA2 1.000 5.000 -.804 -6.565 .151 .618 CA1 1.000 5.000 -.594 -4.850 -.204 -.833 CL1 1.000 5.000 -.838 -6.843 .095 .389 CL2 1.000 5.000 -.473 -3.859 -.725 -2.959 CL3 1.000 5.000 -.019 -.155 -.249 -1.015 CL4 1.000 5.000 -.038 -.310 -.346 -1.414 IA4 1.000 5.000 .216 1.764 -.285 -1.163 IA3 1.000 5.000 -.593 -4.843 -.356 -1.452 IA2 1.000 5.000 -.386 -3.153 -.377 -1.538 IA1 1.000 5.000 -.311 -2.541 -.461 -1.883 PN4 1.000 5.000 -.576 -4.700 -.153 -.626 PN3 1.000 5.000 -.366 -2.987 -.475 -1.941 PN2 1.000 5.000 -.904 -7.380 .349 1.427 PN1 1.000 5.000 -.160 -1.304 -.557 -2.275 VS1 1.000 5.000 -1.153 -9.416 -.002 -.010 VS2 1.000 5.000 -.486 -3.968 -.056 -.230 VS3 1.000 5.000 -.494 -4.036 -.271 -1.107 VS4 1.000 5.000 -.761 -6.210 -.719 -2.935 VT3 1.000 5.000 -.620 -5.063 -.253 -1.031 VT4 1.000 5.000 .036 .294 -.380 -1.551 VT1 1.000 5.000 -.238 -1.940 -.583 -2.381 VT2 1.000 5.000 -.290 -2.370 -.291 -1.188 Multivariate

61.627 17.445

Observations farthest from the centroid (Mahalanobis distance) (Group number 1)

Observation number Mahalanobis d-squared p1 p2

30 65.927 .000 .004 128 64.611 .000 .000 211 57.723 .000 .000 60 57.545 .000 .000 293 56.860 .000 .000 254 56.020 .000 .000 14 55.183 .000 .000 49 54.838 .000 .000 234 54.180 .000 .000 108 53.861 .000 .000 263 53.173 .001 .000 166 50.322 .001 .000

(24)

Observation number Mahalanobis d-squared p1 p2 206 48.796 .002 .000 101 48.380 .002 .000 227 47.653 .003 .000 70 47.339 .003 .000 347 46.930 .003 .000 269 46.877 .003 .000 112 46.530 .004 .000 297 46.182 .004 .000 315 46.094 .004 .000 110 45.616 .005 .000 357 45.455 .005 .000 57 44.458 .007 .000 301 43.950 .008 .000 276 43.815 .008 .000 59 43.752 .008 .000 143 42.612 .011 .000 163 41.770 .014 .000 94 41.703 .014 .000 265 41.348 .015 .000 218 40.714 .018 .000 284 40.273 .020 .000 106 39.294 .025 .000 19 39.142 .026 .000 104 38.828 .028 .000 261 38.687 .029 .000 50 38.380 .032 .000 396 38.254 .033 .000 283 38.225 .033 .000 90 38.014 .035 .000 322 37.732 .037 .000 212 37.502 .039 .000 95 37.209 .042 .000 5 36.878 .045 .000 326 36.703 .047 .000 51 36.660 .047 .000 309 35.659 .059 .000 40 35.389 .063 .000 198 35.347 .063 .000 334 35.307 .064 .000 154 35.077 .067 .000 164 34.578 .075 .000 189 34.560 .075 .000 240 34.525 .076 .000 350 34.253 .080 .000 384 34.224 .081 .000

(25)

Observation number Mahalanobis d-squared p1 p2 208 33.886 .087 .000 210 33.412 .096 .001 245 33.281 .098 .001 6 32.931 .106 .002 25 32.834 .108 .002 88 32.687 .111 .003 290 32.557 .114 .003 335 32.167 .123 .012 105 31.979 .128 .017 274 31.867 .130 .019 76 31.865 .130 .013 124 31.840 .131 .010 63 31.801 .132 .009 52 31.517 .139 .019 291 31.417 .142 .020 113 31.365 .144 .018 289 31.301 .145 .017 125 31.214 .148 .017 259 31.158 .149 .015 92 31.133 .150 .012 328 30.932 .156 .020 150 30.888 .157 .018 24 30.780 .160 .020 137 30.659 .164 .024 53 30.429 .171 .043 209 30.361 .173 .042 375 30.221 .178 .054 77 30.055 .183 .073 207 30.051 .183 .059 61 29.973 .186 .060 171 29.824 .191 .078 184 29.819 .191 .063 117 29.766 .193 .059 256 29.732 .194 .052 87 29.548 .200 .079 195 29.493 .202 .075 179 29.076 .217 .211 156 29.019 .219 .207 111 28.974 .221 .197 340 28.764 .229 .280 258 28.654 .233 .310 278 28.365 .245 .472 13 28.269 .249 .498

(26)

Models

Default model (Default model) Notes for Model (Default model)

Computation of degrees of freedom (Default model)

Number of distinct sample moments: 300 Number of distinct parameters to be estimated: 62 Degrees of freedom (300 - 62): 238

Result (Default model)

Minimum was achieved Chi-square = 416.950 Degrees of freedom = 238 Probability level = .000

Group number 1 (Group number 1 - Default model) Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label

Idol_Attachment <--- Physical_Vanity .232 .084 2.765 .006

Idol_Attachment <--- Achiv__Vanity .362 .092 3.935 ***

Idol_Attachment <--- Variety_Seeking -.468 .101 -4.634 ***

Idol_Attachment <--- Peer_Norm .224 .066 3.401 ***

Customer_Loyalty <--- Idol_Attachment .954 .098 9.742 ***

Customer_Advocacy <--- Customer_Loyalty .907 .097 9.311 ***

VT2 <--- Physical_Vanity 1.000

VT1 <--- Physical_Vanity 1.511 .217 6.950 ***

VT4 <--- Achiv__Vanity 1.000

VT3 <--- Achiv__Vanity 1.963 .270 7.280 ***

VS4 <--- Variety_Seeking 1.000

VS3 <--- Variety_Seeking .899 .157 5.743 ***

VS2 <--- Variety_Seeking 1.283 .191 6.716 ***

VS1 <--- Variety_Seeking .538 .119 4.515 ***

PN1 <--- Peer_Norm 1.000

PN2 <--- Peer_Norm 1.384 .124 11.189 ***

PN3 <--- Peer_Norm 1.279 .117 10.923 ***

PN4 <--- Peer_Norm .927 .112 8.289 ***

IA1 <--- Idol_Attachment 1.000

IA2 <--- Idol_Attachment 1.067 .098 10.847 ***

IA3 <--- Idol_Attachment 1.165 .101 11.483 ***

IA4 <--- Idol_Attachment .889 .095 9.332 ***

CL4 <--- Customer_Loyalty 1.000

CL3 <--- Customer_Loyalty .844 .079 10.661 ***

CL2 <--- Customer_Loyalty 1.272 .118 10.795 ***

CL1 <--- Customer_Loyalty .832 .087 9.528 ***

CA1 <--- Customer_Advocacy 1.000

CA2 <--- Customer_Advocacy .881 .086 10.227 ***

CA3 <--- Customer_Advocacy .952 .084 11.351 ***

CA4 <--- Customer_Advocacy .839 .092 9.152 ***

(27)

Standardized Regression Weights: (Group number 1 - Default model) Estimate Idol_Attachment <--- Physical_Vanity .214 Idol_Attachment <--- Achiv__Vanity .282 Idol_Attachment <--- Variety_Seeking -.406 Idol_Attachment <--- Peer_Norm .212 Customer_Loyalty <--- Idol_Attachment .851 Customer_Advocacy <--- Customer_Loyalty .821 VT2 <--- Physical_Vanity .548 VT1 <--- Physical_Vanity .802 VT4 <--- Achiv__Vanity .550 VT3 <--- Achiv__Vanity .894 VS4 <--- Variety_Seeking .525 VS3 <--- Variety_Seeking .437 VS2 <--- Variety_Seeking .612 VS1 <--- Variety_Seeking .313 PN1 <--- Peer_Norm .602 PN2 <--- Peer_Norm .825 PN3 <--- Peer_Norm .758 PN4 <--- Peer_Norm .509 IA1 <--- Idol_Attachment .672 IA2 <--- Idol_Attachment .636 IA3 <--- Idol_Attachment .681 IA4 <--- Idol_Attachment .536 CL4 <--- Customer_Loyalty .633 CL3 <--- Customer_Loyalty .539 CL2 <--- Customer_Loyalty .695 CL1 <--- Customer_Loyalty .587 CA1 <--- Customer_Advocacy .673 CA2 <--- Customer_Advocacy .636 CA3 <--- Customer_Advocacy .733 CA4 <--- Customer_Advocacy .560

Covariances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label

Physical_Vanity <--> Achiv__Vanity .123 .027 4.614 ***

Physical_Vanity <--> Variety_Seeking -.094 .025 -3.702 ***

Physical_Vanity <--> Peer_Norm .095 .023 4.078 ***

Achiv__Vanity <--> Variety_Seeking -.069 .020 -3.531 ***

Achiv__Vanity <--> Peer_Norm .076 .018 4.089 ***

Variety_Seeking <--> Peer_Norm -.109 .024 -4.563 ***

e20 <--> e19 .198 .040 4.925 ***

e22 <--> e24 .202 .042 4.774 ***

Correlations: (Group number 1 - Default model)

Estimate Physical_Vanity <--> Achiv__Vanity .534 Physical_Vanity <--> Variety_Seeking -.365 Physical_Vanity <--> Peer_Norm .338

(28)

Estimate Achiv__Vanity <--> Variety_Seeking -.318 Achiv__Vanity <--> Peer_Norm .320 Variety_Seeking <--> Peer_Norm -.415 e20 <--> e19 .303 e22 <--> e24 .309

Variances: (Group number 1 - Default model)

Estimate S.E. C.R. P Label

Physical_Vanity

.275 .058 4.711 ***

Achiv__Vanity

.195 .040 4.877 ***

Variety_Seeking

.241 .055 4.391 ***

Peer_Norm

.287 .048 6.038 ***

z1

.104 .021 4.956 ***

z2

.111 .026 4.210 ***

z3

.161 .036 4.461 ***

e2

.639 .058 11.114 ***

e1

.347 .085 4.096 ***

e4

.449 .039 11.452 ***

e3

.188 .089 2.098 .036

e8

.633 .057 11.178 ***

e7

.829 .067 12.334 ***

e6

.665 .070 9.442 ***

e5

.646 .049 13.313 ***

e9

.505 .041 12.353 ***

e10

.258 .035 7.294 ***

e11

.348 .036 9.552 ***

e12

.704 .054 13.052 ***

e13

.390 .033 11.875 ***

14

.538 .044 12.276 ***

15

.504 .043 11.760 ***

e16

.631 .048 13.037 ***

e20

.605 .051 11.981 ***

e19

.704 .055 12.742 ***

e18

.698 .062 11.208 ***

e17

.531 .042 12.505 ***

e21

.596 .054 11.075 ***

e22

.564 .049 11.497 ***

e23

.385 .039 9.803 ***

e24

.760 .062 12.265 ***

Matrices (Group number 1 - Default model) Total Effects (Group number 1 - Default model)

Peer_ Norm Variety_ Seeking Achiv__ Vanity Physical _Vanity Idol_ Attachment Customer _Loyalty Customer_ Advocacy Idol_ Attachment .224 -.468 .362 .232 .000 .000 .000 Customer_ Loyalty .214 -.447 .346 .221 .954 .000 .000

(29)

Peer_

Norm Variety_Seeking Achiv__Vanity Physical_Vanity AttachmentIdol_ Customer_Loyalty Customer_Advocacy Customer_ Advocacy .194 -.405 .313 .200 .865 .907 .000 CA4 .163 -.340 .263 .168 .726 .761 .839 CA3 .185 -.386 .298 .191 .824 .864 .952 CA2 .171 -.357 .276 .177 .763 .800 .881 CA1 .194 -.405 .313 .200 .865 .907 1.000 CL1 .178 -.372 .288 .184 .794 .832 .000 CL2 .272 -.568 .439 .281 1.213 1.272 .000 CL3 .180 -.377 .292 .186 .805 .844 .000 CL4 .214 -.447 .346 .221 .954 1.000 .000 IA4 .199 -.416 .322 .206 .889 .000 .000 IA3 .261 -.546 .422 .270 1.165 .000 .000 IA2 .239 -.500 .386 .247 1.067 .000 .000 IA1 .224 -.468 .362 .232 1.000 .000 .000 PN4 .927 .000 .000 .000 .000 .000 .000 PN3 1.279 .000 .000 .000 .000 .000 .000 PN2 1.384 .000 .000 .000 .000 .000 .000 PN1 1.000 .000 .000 .000 .000 .000 .000 VS1 .000 .538 .000 .000 .000 .000 .000 VS2 .000 1.283 .000 .000 .000 .000 .000 VS3 .000 .899 .000 .000 .000 .000 .000 VS4 .000 1.000 .000 .000 .000 .000 .000 VT3 .000 .000 1.963 .000 .000 .000 .000 VT4 .000 .000 1.000 .000 .000 .000 .000 VT1 .000 .000 .000 1.511 .000 .000 .000 VT2 .000 .000 .000 1.000 .000 .000 .000

Standardized Total Effects (Group number 1 - Default model)

Peer_

Norm Variety_ Seeking Achiv__ Vanity Physical_ Vanity AttachmentIdol_ Customer_ Loyalty Customer_ Advocacy Idol_ Attachment .212 -.406 .282 .214 .000 .000 .000 Customer_ Loyalty .180 -.345 .240 .182 .851 .000 .000 Customer_ Advocacy .148 -.284 .197 .150 .699 .821 .000 CA4 .083 -.159 .110 .084 .391 .460 .560 CA3 .108 -.208 .144 .110 .512 .602 .733 CA2 .094 -.180 .125 .095 .444 .522 .636 CA1 .099 -.191 .132 .101 .470 .552 .673 CL1 .106 -.203 .141 .107 .500 .587 .000 CL2 .125 -.240 .167 .127 .592 .695 .000 CL3 .097 -.186 .129 .098 .458 .539 .000 CL4 .114 -.219 .152 .115 .538 .633 .000 IA4 .113 -.217 .151 .115 .536 .000 .000 IA3 .144 -.276 .192 .146 .681 .000 .000

(30)

Peer_

Norm Variety_ Seeking Achiv__ Vanity Physical_ Vanity AttachmentIdol_ Customer_ Loyalty Customer_ Advocacy

IA2 .135 -.258 .179 .136 .636 .000 .000 IA1 .142 -.273 .189 .144 .672 .000 .000 PN4 .509 .000 .000 .000 .000 .000 .000 PN3 .758 .000 .000 .000 .000 .000 .000 PN2 .825 .000 .000 .000 .000 .000 .000 PN1 .602 .000 .000 .000 .000 .000 .000 VS1 .000 .313 .000 .000 .000 .000 .000 VS2 .000 .612 .000 .000 .000 .000 .000 VS3 .000 .437 .000 .000 .000 .000 .000 VS4 .000 .525 .000 .000 .000 .000 .000 VT3 .000 .000 .894 .000 .000 .000 .000 VT4 .000 .000 .550 .000 .000 .000 .000 VT1 .000 .000 .000 .802 .000 .000 .000 VT2 .000 .000 .000 .548 .000 .000 .000

Direct Effects (Group number 1 - Default model)

Peer_ Norm Variety_ Seeking Achiv__ Vanity Physical _Vanity Idol_ Attachment Customer _Loyalty Customer_ Advocacy Idol_ Attachment .224 -.468 .362 .232 .000 .000 .000 Customer_ Loyalty .000 .000 .000 .000 .954 .000 .000 Customer_ Advocacy .000 .000 .000 .000 .000 .907 .000 CA4 .000 .000 .000 .000 .000 .000 .839 CA3 .000 .000 .000 .000 .000 .000 .952 CA2 .000 .000 .000 .000 .000 .000 .881 CA1 .000 .000 .000 .000 .000 .000 1.000 CL1 .000 .000 .000 .000 .000 .832 .000 CL2 .000 .000 .000 .000 .000 1.272 .000 CL3 .000 .000 .000 .000 .000 .844 .000 CL4 .000 .000 .000 .000 .000 1.000 .000 IA4 .000 .000 .000 .000 .889 .000 .000 IA3 .000 .000 .000 .000 1.165 .000 .000 IA2 .000 .000 .000 .000 1.067 .000 .000 IA1 .000 .000 .000 .000 1.000 .000 .000 PN4 .927 .000 .000 .000 .000 .000 .000 PN3 1.279 .000 .000 .000 .000 .000 .000 PN2 1.384 .000 .000 .000 .000 .000 .000 PN1 1.000 .000 .000 .000 .000 .000 .000 VS1 .000 .538 .000 .000 .000 .000 .000 VS2 .000 1.283 .000 .000 .000 .000 .000 VS3 .000 .899 .000 .000 .000 .000 .000 VS4 .000 1.000 .000 .000 .000 .000 .000 VT3 .000 .000 1.963 .000 .000 .000 .000 VT4 .000 .000 1.000 .000 .000 .000 .000

(31)

Peer_

Norm Variety_Seeking Achiv__Vanity Physical_Vanity AttachmentIdol_ Customer_Loyalty Customer_Advocacy

VT1 .000 .000 .000 1.511 .000 .000 .000

VT2 .000 .000 .000 1.000 .000 .000 .000

Standardized Direct Effects (Group number 1 - Default model)

Peer_

Norm Variety_Seeking Achiv__Vanity Phsyical_Vanity AttachmentIdol_ Customer_Loyalty Customer_Advocacy Idol_ Attachment .212 -.406 .282 .214 .000 .000 .000 Customer_ Loyalty .000 .000 .000 .000 .851 .000 .000 Customer_ Advocacy .000 .000 .000 .000 .000 .821 .000 CA4 .000 .000 .000 .000 .000 .000 .560 CA3 .000 .000 .000 .000 .000 .000 .733 CA2 .000 .000 .000 .000 .000 .000 .636 CA1 .000 .000 .000 .000 .000 .000 .673 CL1 .000 .000 .000 .000 .000 .587 .000 CL2 .000 .000 .000 .000 .000 .695 .000 CL3 .000 .000 .000 .000 .000 .539 .000 CL4 .000 .000 .000 .000 .000 .633 .000 IA4 .000 .000 .000 .000 .536 .000 .000 IA3 .000 .000 .000 .000 .681 .000 .000 IA2 .000 .000 .000 .000 .636 .000 .000 IA1 .000 .000 .000 .000 .672 .000 .000 PN4 .509 .000 .000 .000 .000 .000 .000 PN3 .758 .000 .000 .000 .000 .000 .000 PN2 .825 .000 .000 .000 .000 .000 .000 PN1 .602 .000 .000 .000 .000 .000 .000 VS1 .000 .313 .000 .000 .000 .000 .000 VS2 .000 .612 .000 .000 .000 .000 .000 VS3 .000 .437 .000 .000 .000 .000 .000 VS4 .000 .525 .000 .000 .000 .000 .000 VT3 .000 .000 .894 .000 .000 .000 .000 VT4 .000 .000 .550 .000 .000 .000 .000 VT1 .000 .000 .000 .802 .000 .000 .000 VT2 .000 .000 .000 .548 .000 .000 .000

Indirect Effects (Group number 1 - Default model)

Peer_Norm Variety_ Seeking Achiv__ Vanity Physical_ Vanity AttachmentIdol_ Customer_ Loyalty Customer_ Advocacy Idol_ Attachment .000 .000 .000 .000 .000 .000 .000 Customer_ Loyalty .214 -.447 .346 .221 .000 .000 .000 Customer_ Advocacy .194 -.405 .313 .200 .865 .000 .000 CA4 .163 -.340 .263 .168 .726 .761 .000 CA3 .185 -.386 .298 .191 .824 .864 .000

(32)

Peer_Norm Variety_ Seeking Achiv__ Vanity Physical_ Vanity AttachmentIdol_ Customer_ Loyalty Customer_ Advocacy CA2 .171 -.357 .276 .177 .763 .800 .000 CA1 .194 -.405 .313 .200 .865 .907 .000 CL1 .178 -.372 .288 .184 .794 .000 .000 CL2 .272 -.568 .439 .281 1.213 .000 .000 CL3 .180 -.377 .292 .186 .805 .000 .000 CL4 .214 -.447 .346 .221 .954 .000 .000 IA4 .199 -.416 .322 .206 .000 .000 .000 IA3 .261 -.546 .422 .270 .000 .000 .000 IA2 .239 -.500 .386 .247 .000 .000 .000 IA1 .224 -.468 .362 .232 .000 .000 .000 PN4 .000 .000 .000 .000 .000 .000 .000 PN3 .000 .000 .000 .000 .000 .000 .000 PN2 .000 .000 .000 .000 .000 .000 .000 PN1 .000 .000 .000 .000 .000 .000 .000 VS1 .000 .000 .000 .000 .000 .000 .000 VS2 .000 .000 .000 .000 .000 .000 .000 VS3 .000 .000 .000 .000 .000 .000 .000 VS4 .000 .000 .000 .000 .000 .000 .000 VT3 .000 .000 .000 .000 .000 .000 .000 VT4 .000 .000 .000 .000 .000 .000 .000 VT1 .000 .000 .000 .000 .000 .000 .000 VT2 .000 .000 .000 .000 .000 .000 .000

Standardized Indirect Effects (Group number 1 - Default model)

Peer_

Norm Variety_Seeking Achiv__Vanity Physical_Vanity AttachmentIdol_ Customer_Loyalty Customer_Advocacy Idol_ Attachment .000 .000 .000 .000 .000 .000 .000 Customer_ Loyalty .180 -.345 .240 .182 .000 .000 .000 Customer_ Advocacy .148 -.284 .197 .150 .699 .000 .000 CA4 .083 -.159 .110 .084 .391 .460 .000 CA3 .108 -.208 .144 .110 .512 .602 .000 CA2 .094 -.180 .125 .095 .444 .522 .000 CA1 .099 -.191 .132 .101 .470 .552 .000 CL1 .106 -.203 .141 .107 .500 .000 .000 CL2 .125 -.240 .167 .127 .592 .000 .000 CL3 .097 -.186 .129 .098 .458 .000 .000 CL4 .114 -.219 .152 .115 .538 .000 .000 IA4 .113 -.217 .151 .115 .000 .000 .000 IA3 .144 -.276 .192 .146 .000 .000 .000 IA2 .135 -.258 .179 .136 .000 .000 .000 IA1 .142 -.273 .189 .144 .000 .000 .000 PN4 .000 .000 .000 .000 .000 .000 .000 PN3 .000 .000 .000 .000 .000 .000 .000

(33)

Peer_

Norm Variety_Seeking Achiv__Vanity Physical_Vanity AttachmentIdol_ Customer_Loyalty Customer_Advocacy

PN2 .000 .000 .000 .000 .000 .000 .000 PN1 .000 .000 .000 .000 .000 .000 .000 VS1 .000 .000 .000 .000 .000 .000 .000 VS2 .000 .000 .000 .000 .000 .000 .000 VS3 .000 .000 .000 .000 .000 .000 .000 VS4 .000 .000 .000 .000 .000 .000 .000 VT3 .000 .000 .000 .000 .000 .000 .000 VT4 .000 .000 .000 .000 .000 .000 .000 VT1 .000 .000 .000 .000 .000 .000 .000 VT2 .000 .000 .000 .000 .000 .000 .000

Modification Indices (Group number 1 - Default model) Covariances: (Group number 1 - Default model)

M.I. Par Change z2 <--> Variety_Seeking 7.977 -.045 z2 <--> z1 8.351 -.035 z3 <--> z2 9.429 -.049 e23 <--> Variety_Seeking 6.166 -.052 e23 <--> z2 5.019 -.042 e22 <--> Peer_Norm 7.420 .056 e22 <--> z3 4.941 .051 e21 <--> Physical_Vanity 4.262 -.049 e21 <--> e23 4.531 -.062 e21 <--> e22 12.043 .109 e18 <--> Peer_Norm 6.281 -.063 e18 <--> z3 6.651 -.073 e18 <--> e22 8.381 -.099 e18 <--> e17 6.899 .091 e19 <--> z1 5.135 -.043 e19 <--> z2 8.974 .065 e19 <--> e18 10.659 .121 e16 <--> z2 5.089 -.050 e16 <--> e22 4.344 -.064 e16 <--> e19 5.094 -.075 15 <--> e18 8.111 .099 15 <--> e19 12.481 -.110 15 <--> e16 11.195 .105 14 <--> Variety_Seeking 4.294 .048 14 <--> z3 6.014 .060 14 <--> e24 5.033 .074 14 <--> e18 8.204 -.102 e12 <--> e22 11.159 .108 e11 <--> Physical_Vanity 4.777 .042 e11 <--> e16 4.951 .062 e10 <--> Physical_Vanity 5.684 -.043 e10 <--> e20 4.439 -.052

(34)

M.I. Par Change e9 <--> e24 5.025 -.071 e9 <--> e11 4.363 -.052 e6 <--> z2 4.486 -.052 e6 <--> e23 4.113 -.066 e7 <--> Physical_Vanity 5.231 .061 e7 <--> z2 11.477 -.087 e7 <--> e21 11.366 -.136 e7 <--> e19 5.664 -.092 e7 <--> 14 7.984 .104 e7 <--> e12 5.557 -.097 e4 <--> Variety_Seeking 5.709 .049 e4 <--> e10 4.614 .048 e2 <--> e4 4.885 .065

Variances: (Group number 1 - Default model)

M.I. Par Change

Regression Weights: (Group number 1 - Default model)

M.I. Par Change Customer_Loyalty <--- Variety_Seeking 5.762 -.162 Customer_Advocacy <--- Peer_Norm 4.703 .142 Customer_Advocacy <--- Achiv__Vanity 4.013 .158 CA4 <--- IA2 4.510 .095 CA3 <--- Variety_Seeking 10.408 -.288 CA3 <--- Achiv__Vanity 7.974 .249 CA3 <--- Physical_Vanity 7.325 .214 CA3 <--- Idol_Attachment 4.672 .147 CA3 <--- VS1 6.504 -.107 CA3 <--- VS2 9.173 -.104 CA3 <--- VS4 5.360 -.088 CA3 <--- VT3 6.924 .096 CA3 <--- VT4 4.911 .098 CA3 <--- VT1 6.830 .094 CA2 <--- CA1 5.601 .085 CA2 <--- CL2 6.785 -.084 CA2 <--- PN4 13.564 .141 CA2 <--- PN1 6.519 .107 CA1 <--- Physical_Vanity 4.963 -.210 CA1 <--- CA2 7.035 .115 CA1 <--- VS3 8.220 -.120 CA1 <--- VT1 4.054 -.086 CA1 <--- VT2 5.213 -.101 CL1 <--- CA4 4.773 -.080 CL2 <--- Peer_Norm 5.541 -.221 CL2 <--- CA4 6.309 -.109 CL2 <--- CA2 10.297 -.151 CL2 <--- CL1 4.182 .104 CL2 <--- CL3 8.640 .135

(35)

M.I. Par Change CL2 <--- IA2 6.158 -.119 CL2 <--- PN4 5.720 -.112 CL2 <--- PN2 5.444 -.119 CL3 <--- CL2 4.628 .075 CL3 <--- IA4 6.064 -.106 CL3 <--- IA3 10.170 -.134 CL3 <--- VS3 4.540 -.086 IA4 <--- CA2 5.288 -.097 IA4 <--- IA3 5.229 .097 IA3 <--- CL3 12.772 -.137 IA3 <--- CL4 4.079 -.077 IA3 <--- IA4 7.551 .112 IA3 <--- VS1 4.142 .092 IA2 <--- CA4 5.438 .086 IA2 <--- CL2 4.191 -.068 IA2 <--- VS3 8.675 .113 PN4 <--- CA2 9.106 .134 PN4 <--- VS3 4.962 -.095 PN3 <--- IA4 4.871 .079 PN2 <--- Physical_Vanity 4.496 -.151 PN2 <--- CL2 4.061 -.056 PN2 <--- CL4 6.012 -.078 PN2 <--- VT1 4.054 -.065 PN1 <--- IA1 4.064 .090 VS3 <--- CA1 10.170 -.145 VS3 <--- CL3 8.175 -.136 VS3 <--- IA2 4.326 .104 VS3 <--- PN4 4.438 -.103 VS4 <--- PN1 4.202 -.098 VT3 <--- CL3 4.158 .078 VT4 <--- VS4 5.172 .085 VT4 <--- VT2 4.355 .076 VT2 <--- VT4 4.338 .110

Minimization History (Default model)

Iteration

eigenvaluesNegative Condition # eigenvalueSmallest Diameter F NTries Ratio

0 e 16 -.457 9999.000 3192.275 0 9999.000

1 e 4 -.060 2.358 1542.799 20 .634

2 e* 1 -.007 1.419 928.959 4 .704

3 e 0 298.736 1.034 618.728 5 .827

(36)

Iteration

eigenvaluesNegative Condition # eigenvalueSmallest Diameter F NTries Ratio 5 e 0 381.861 1.042 441.911 1 .882 6 e 0 406.899 .350 423.768 2 .000 7 e 0 350.662 .266 417.090 1 1.052 8 e 0 376.491 .052 416.951 1 1.026 9 e 0 366.657 .004 416.950 1 1.005 10 e 0 367.294 .000 416.950 1 1.000

Model Fit Summary CMIN

Model NPAR CMIN DF P CMIN/DF

Default model 62 416.950 238 .000 1.752

Saturated model 300 .000 0

Independence model 24 2957.508 276 .000 10.716

RMR, GFI

Model RMR GFI AGFI PGFI

Default model .046 .923 .902 .732

Saturated model .000 1.000

Independence model .231 .395 .342 .363

Baseline Comparisons

Model Delta1NFI rho1RFI Delta2IFI rho2TLI CFI

Default model .859 .837 .934 .923 .933

Saturated model 1.000 1.000 1.000

Independence model .000 .000 .000 .000 .000

Parsimony-Adjusted Measures

Model PRATIO PNFI PCFI

Default model .862 .741 .805 Saturated model .000 .000 .000 Independence model 1.000 .000 .000 NCP Model NCP LO 90 HI 90 Default model 178.950 126.056 239.702 Saturated model .000 .000 .000 Independence model 2681.508 2510.450 2859.931 FMIN Model FMIN F0 LO 90 HI 90 Default model 1.045 .448 .316 .601 Saturated model .000 .000 .000 .000 Independence model 7.412 6.721 6.292 7.168

(37)

RMSEA

Model RMSEA LO 90 HI 90 PCLOSE

Default model .043 .036 .050 .943

Independence model .156 .151 .161 .000

AIC

Model AIC BCC BIC CAIC

Default model 540.950 549.239 788.421 850.421

Saturated model 600.000 640.107 1797.439 2097.439

Independence model 3005.508 3008.717 3101.304 3125.304

ECVI

Model ECVI LO 90 HI 90 MECVI

Default model 1.356 1.223 1.508 1.377

Saturated model 1.504 1.504 1.504 1.604

Independence model 7.533 7.104 7.980 7.541

HOELTER

Model HOELTER .05 HOELTER .01

Default model 264 280

Independence model 43 46

Execution time summary

Minimization: .063 Miscellaneous: 2.559

Bootstrap: .000

Referensi

Dokumen terkait

Dalam tugas akhir ini dibuat aplikasi berbasis web yang menyediakan sarana pencatatan dan pengolahan data proses pengiriman uang mulai dari pencatatan tanggal pelaksanaan,

hasil kerja yang dapat dicapai oleh seseorang atau sekelompok orang dalam suatu. organisasi,sesuai dengan wewenang dan tanggung jawab

Sehingga guru tidak perlu menjelaskan secara khusus bahkan terkesan tidak berhubungan dengan materi pembelajaran seperti pada tutran (287). Meskipun demikian, peserta

Sistem informasi, dari dua definisi di atas dapat ditarik garis besar sebagai integrasi suatu cara terorganisir (mengumpulkan, memasukkan, dan memroses data, mengendalikan,

Secara teori nanofluida dapat meningkatkan efek perpindahan kalor pada teras reaktor nuklir berdasarkan perbedaan konduktivitas termal pada fluida pendingin dengan

Dalam usaha membangun sistem manajemen lalu lintas yang handal dan berkesimbungan, pekerjaan membangun fasilitas jalan yang lebar sesuai klasifikasi jalan dan demand lalu

Rancangan interface masukan dara ruangan akan memberikan gambaran akan tampilan yang akan digunakan oleh user/pengguna dalam memasukkan data master ruangan sebagai

Dari hasil penelitian ini, dapat disimpulkan bahwa kemampuan komunikasi matematis mahasiswa yang diajarkan dengan pendekatan MEAs lebih baik daripada mahasiswa yang