search pelanggan dapat langsung ter direct melalui kata kunci yang ingin dicari oleh konsumen.
2. Dimensi Information Quality menunjukkan hasil yang baik. Dengan demikian, pihak manajerial Olx.co.id hendaknya menyaring informasi produk akurat yang ditampilkan oleh para penjual dengan menambahkan fasilitas testimoni sehingga dapat diketahui reputasi penjual dan untuk meminimalisir terjadinya penipuan.
3. Selain itu, dalam penelitian ini responsiveness menujukkan angka yang cukup baik pada hasil rata-rata antar dimensi. Namun untuk menangani pengembalian produk dengan baik, pihak manajerial Olx.co.id perlu menambahkan fasilitas mengenai prosedur pengembalian barang yang dibuat semudah mungkin untuk dimengerti oleh konsumen dan fasilitas feedback dari konsumen.
4. Dimensi Personalization menunjukkan hasil yang baik, untuk meningkatkan pembelian kembali melalui situs Olx.co.id, pihak manajerial harus menambahkan sub menu seperti ukuran, harga pada setiap kategori agar memudahkan konsumen melakukan pencari sesuai dengan kebutuhan spesifiknya.
5. Bagi peneliti selanjutnya diharapkan mengganti objek penelitian, misalnya toko online yang menjual barang atau jasa. Peneliti selanjutnya dapat menambahkan variabel yang lebih bervariasi namun tetap dalam ruang lingkup dimensi dari e- service quality. Untuk penelitian selanjutnya sebaiknya mengganti dasar acuan jurnal yang memang jurnal mengenai e-commerce namun tetap terdapat variabel dimensi e-service quality.
DAFTAR PUSTAKA
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Alzola, L. M., & Robaina, V. P. (2005). SERVQUAL : Its Applicability in Electronic Commerce B2C, 12(4), 46–57.
Andry, D. (2010). Majalah DM Beri Penghargaan untuk Website Terbaik. 1 November 2010. Retrieved September 20, 2013, from http://www.marketing.co.id/majalah- dm-beri-penghargaan-untuk-website-terbaik/.
Anwar, A. L. (2008). Analisis Pengaruh Pendukung Online Website Layanan Operator Seluler Pada Kepuasan dan Loyalitas Pelanggan Operator Seluler di Indonesia.
Ekonomi & Bisnis, Vol. 2, No, 145–158.
Bennett, R., & Rundle-Thiele, S. (2002). A comparison of attitudinal loyalty measurement approaches. Journal of Brand Management, 9(3), 193–209.
doi:10.1057/palgrave.bm.2540069
Berthalinabila, & Ichwan, S. (2012). Wow ! Olx.co.id Raih Penghargaan Top Brand Situs E - Commerce Terbaik 2012 Lho ! 6 Agustus 2012. Retrieved September 20, 2013, from http://blog.Olx.co.id /blog/wow-Olx.co.id -raih-penghargaan-top-brand- situs-e-commerce-terbaik-2012-lho/
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Yogyakarta: CV ANDI OFFSET.
Carlson, J., & O’Cass, A. (2010). Exploring the relationships between e-service quality, satisfaction, attitudes and behaviours in content-driven e-service web sites. Journal of Services Marketing, 24(2), 112–127. doi:10.1108/08876041011031091
Chuttur, M. (n.d.). Working Papers on Information Systems Overview of the Technology Acceptance Model : Origins , Developments and Future Directions, 9(2009).
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2013. Retrieved May 04, 2014, from
http://ekonomi.kompasiana.com/bisnis/2013/01/15/perkembangan-ecommerce-di- indonesia-524595.html
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. Upper Saddle River, N.J: Pearson Education.
Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modeling: guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60
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doi:10.1108/08876040710726284
Kotler, P., & Keller, K. L. (2009). Manajemen Pemasaran (Ketiga Bel.).
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Ling, L. E. S. (2011). The Study Of E-Service Quality, E-Satisfaction and E-Loyalty of Generation Y In Hong Kong : A Case of Taobao. The Hong Kong Polytechnic University.
Lupioadi Rambat. (2013). Manajemen Pemasaran Jasa (3rd ed.). Jakarta: Salemba Empat.
Malhotra, N. K. (2010). Marketing Research: An Applied Orientation. Upper Saddle River, NJ: Pearson/Prentice Hall.
Masuki, & Ichwan, S. (2013). Olx.co.id . com “ The Best Online Store .” 9 Maret 2013.
Retrieved May 01, 2014, from http://www.antarabali.com/berita/35498/Olx.co.id com-the-best-online-store
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Retrieved July 09, 2014, from
http://tekno.kompas.com/read/2014/05/20/1027330/Tokobagus.Ganti.Nama.Jadi.O LX.Indonesia
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Lampiran 1 : Kuesioner Penelitian
(Lanjutan)
(Lanjutan)
(Lanjutan)
(Lanjutan)
(Lanjutan)
(Lanjutan)
Lampiran 2 : Hasil Uji Validitas dan Reliabilitas Pre-Test VALIDITAS WEBSITE USABILITY
Anti-image Matrices
US1 US2 US3 US4
Anti-image Covariance
US1 ,499 -,082 ,013 -,133
US2 -,082 ,293 -,133 -,060
US3 ,013 -,133 ,254 -,125
US4 -,133 -,060 -,125 ,259
Anti-image Correlation
US1 ,869a -,215 ,037 -,371
US2 -,215 ,833a -,488 -,216
US3 ,037 -,488 ,778a -,487
US4 -,371 -,216 -,487 ,804a
a. Measures of Sampling Adequacy(MSA)
Communalities Initial Extraction
US1 1,000 ,657
US2 1,000 ,824
US3 1,000 ,829
US4 1,000 ,854
Extraction Method: Principal Component Analysis.
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,816
Bartlett's Test of Sphericity
Approx. Chi-Square 94,456
df 6
Sig. ,000
(Lanjutan)
Component Matrixa Component
1
US1 ,810
US2 ,908
US3 ,910
US4 ,924
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
RELIABILITAS WEBSITE USABILITY
N %
Cases
Valid 35 100,0
Excludeda 0 ,0
Total 35 100,0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's
Alpha
N of Items
,910 4
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3,164 79,100 79,100 3,164 79,100 79,100
2 ,450 11,257 90,357
3 ,226 5,645 96,002
4 ,160 3,998 100,000
Extraction Method: Principal Component Analysis.
Item Statistics
Mean Std. Deviation N
US1 5,46 1,268 35
US2 4,89 1,345 35
US3 4,54 1,651 35
US4 4,86 1,458 35
Item-Total Statistics Scale Mean if
Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbach's Alpha if Item
Deleted
US1 14,29 17,210 ,684 ,919
US2 14,86 15,420 ,832 ,872
US3 15,20 13,282 ,832 ,874
US4 14,89 14,398 ,858 ,860
Scale Statistics
Mean Variance Std. Deviation N of Items
19,74 26,020 5,101 4
VALIDITAS INFORMATION QUALITY
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,897
Bartlett's Test of Sphericity
Approx. Chi-Square 236,270
df 15
Sig. ,000
(Lanjutan)
Anti-image Matrices
IQ1 IQ2 IQ3 IQ4 IQ5 IQ6
Anti-image Covariance
IQ1 ,144 -,048 -,029 -,096 ,033 -,034
IQ2 -,048 ,215 -,028 ,008 -,052 -,026
IQ3 -,029 -,028 ,125 -,022 -,063 -,033
IQ4 -,096 ,008 -,022 ,157 -,034 ,020
IQ5 ,033 -,052 -,063 -,034 ,152 -,064
IQ6 -,034 -,026 -,033 ,020 -,064 ,263
Anti-image Correlation
IQ1 ,847a -,274 -,216 -,637 ,225 -,173
IQ2 -,274 ,943a -,171 ,045 -,287 -,108
IQ3 -,216 -,171 ,914a -,160 -,455 -,179
IQ4 -,637 ,045 -,160 ,871a -,220 ,100
IQ5 ,225 -,287 -,455 -,220 ,875a -,319
IQ6 -,173 -,108 -,179 ,100 -,319 ,943a
a. Measures of Sampling Adequacy(MSA)
Communalities Initial Extraction
IQ1 1,000 ,849
IQ2 1,000 ,841
IQ3 1,000 ,909
IQ4 1,000 ,839
IQ5 1,000 ,863
IQ6 1,000 ,791
Extraction Method: Principal Component Analysis.
(Lanjutan)
Component Matrixa Component
1
IQ1 ,921
IQ2 ,917
IQ3 ,954
IQ4 ,916
IQ5 ,929
IQ6 ,889
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
RELIABILITY INFORMATION QUALITY
Case Processing Summary
N %
Cases
Valid 35 100,0
Excludeda 0 ,0
Total 35 100,0
a. Listwise deletion based on all variables in the procedure.
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 5,091 84,844 84,844 5,091 84,844 84,844
2 ,345 5,747 90,592
3 ,208 3,465 94,056
4 ,177 2,955 97,011
5 ,102 1,703 98,714
6 ,077 1,286 100,000
Extraction Method: Principal Component Analysis.
(Lanjutan)
Reliability Statistics Cronbach’s
Alpha
N of Items
,963 6
Item Statistics
Mean Std. Deviation N
IQ1 4,91 1,380 35
IQ2 4,77 1,395 35
IQ3 4,77 1,716 35
IQ4 4,91 1,463 35
IQ5 4,80 1,368 35
IQ6 5,00 1,350 35
Scale Statistics
Mean Variance Std. Deviation N of Items
29,17 63,970 7,998 6
VALIDITAS RELIABILITY
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,863
Bartlett's Test of Sphericity
Approx. Chi-Square 133,130
df 6
Sig. ,000
Item-Total Statistics Scale Mean if
Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbach's Alpha if Item
Deleted
IQ1 24,26 45,550 ,887 ,956
IQ2 24,40 45,482 ,879 ,956
IQ3 24,40 40,659 ,930 ,952
IQ4 24,26 44,667 ,878 ,956
IQ5 24,37 45,534 ,897 ,955
IQ6 24,17 46,617 ,842 ,960
(Lanjutan)
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3,499 87,477 87,477 3,499 87,477 87,477
2 ,208 5,188 92,665
3 ,169 4,226 96,890
4 ,124 3,110 100,000
Extraction Method: Principal Component Analysis.
Anti-image Matrices
REL1 REL2 REL3 REL4
Anti-image Covariance
REL1 ,176 -,046 -,094 -,075
REL2 -,046 ,233 -,058 -,087
REL3 -,094 -,058 ,223 -,030
REL4 -,075 -,087 -,030 ,217
Anti-image Correlation
REL1 ,836a -,228 -,476 -,382
REL2 -,228 ,884a -,255 -,389
REL3 -,476 -,255 ,868a -,139
REL4 -,382 -,389 -,139 ,868a
a. Measures of Sampling Adequacy(MSA)
Communalities Initial Extraction
REL1 1,000 ,899
REL2 1,000 ,864
REL3 1,000 ,865
REL4 1,000 ,872
Extraction Method: Principal Component Analysis.
(Lanjutan)
Component Matrixa Component
1
REL1 ,948
REL2 ,930
REL3 ,930
REL4 ,934
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
RELIABILITAS OF RELIABILITY
Case Processing Summary
N %
Cases
Valid 35 100,0
Excludeda 0 ,0
Total 35 100,0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's
Alpha
N of Items
,951 4
Item Statistics
Mean Std. Deviation N
REL1 4,63 1,416 35
REL2 4,66 1,589 35
REL3 4,77 1,374 35
REL4 4,63 1,516 35
(Lanjutan)
Item-Total Statistics Scale Mean if
Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbach's Alpha if Item
Deleted
REL1 14,06 17,644 ,904 ,929
REL2 14,03 16,558 ,875 ,939
REL3 13,91 18,257 ,873 ,939
REL4 14,06 17,055 ,882 ,936
Scale Statistics
Mean Variance Std. Deviation N of Items
18,69 30,398 5,513 4
VALIDITAS RESPONSIVENESS
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,857
Bartlett's Test of Sphericity
Approx. Chi-Square 268,725
df 21
Sig. ,000
Anti-image Matrices
RES1 RES2 RES3 RES4 RES5 RES6 RES7
Anti-image Covariance
RES1 ,243 -,036 -,033 ,035 ,037 -,070 -,023
RES2 -,036 ,098 -,042 -,004 -,024 -,011 ,152
RES3 -,033 -,042 ,091 -,029 -,048 ,001 -,052
RES4 ,035 -,004 -,029 ,192 -,005 -,075 -,003
RES5 ,037 -,024 -,048 -,005 ,141 -,037 -,055
RES6 -,070 -,011 ,001 -,075 -,037 ,116 -,028
RES7 -,023 ,152 -,052 -,003 -,055 -,028 ,481
Anti-image Correlation
RES1 ,900a -,230 -,220 ,161 ,198 -,417 -,068
RES2 -,230 ,818a -,448 -,032 -,202 -,101 ,700
RES3 -,220 -,448 ,875a -,222 -,427 ,010 -,249
RES4 ,161 -,032 -,222 ,909a -,030 -,504 -,009
RES5 ,198 -,202 -,427 -,030 ,900a -,286 -,210
RES6 -,417 -,101 ,010 -,504 -,286 ,874a -,118
RES7 -,068 ,700 -,249 -,009 -,210 -,118 ,308a
(Lanjutan)
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative %
1 5,195 74,220 74,220 5,195 74,220 74,220
2 1,063 15,182 89,402 1,063 15,182 89,402
3 ,292 4,174 93,576
4 ,206 2,939 96,515
5 ,106 1,519 98,033
6 ,078 1,117 99,151
7 ,059 ,849 100,000
Extraction Method: Principal Component Analysis.
Communalities
Initial Extraction
RES1 1,000 ,779
RES2 1,000 ,933
RES3 1,000 ,926
RES4 1,000 ,839
RES5 1,000 ,880
RES6 1,000 ,915
RES7 1,000 ,987
Extraction Method: Principal Component Analysis.
Component Matrixa Component
1 2
RES1 ,883 -,003
RES2 ,932 -,253
RES3 ,959 ,073
RES4 ,906 ,135
RES5 ,925 ,154
RES6 ,947 ,134
RES7 -,232 ,966
Extraction Method: Principal Component Analysis.
(Lanjutan) RELIABILITAS RESPONSIVENESS
Case Processing Summary
N %
Cases
Valid 35 100,0
Excludeda 0 ,0
Total 35 100,0
Listwise deletion based on all variables in the procedure.
Cronbach's Alpha
N of Items
,869 7
Item Statistics
Mean Std. Deviation N
RES1 4,43 1,520 35
RES2 4,57 1,357 35
RES3 4,57 1,335 35
RES4 4,63 1,516 35
RES5 4,66 1,259 35
RES6 4,71 1,545 35
RES7 4,34 1,781 35
Item-Total Statistics Scale Mean if
Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbach's Alpha if Item
Deleted
RES1 27,49 42,257 ,794 ,829
RES2 27,34 44,526 ,767 ,835
RES3 27,34 42,526 ,916 ,816
RES4 27,29 41,269 ,857 ,820
RES5 27,26 43,785 ,894 ,822
RES6 27,20 39,929 ,919 ,810
RES7 27,57 62,370 -,188 ,965
(Lanjutan)
Scale Statistics
Mean Variance Std. Deviation N of Items
31,91 60,257 7,763 7
VALIDITAS ASSURANCE
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,800
Bartlett's Test of Sphericity
Approx. Chi-Square 118,087
df 6
Sig. ,000
Anti-image Matrices
ASS1 ASS2 ASS3 ASS4
Anti-image Covariance
ASS1 ,288 ,030 -,128 -,097
ASS2 ,030 ,221 -,091 -,126
ASS3 -,128 -,091 ,250 -,016
ASS4 -,097 -,126 -,016 ,194
Anti-image Correlation
ASS1 ,811a ,118 -,478 -,411
ASS2 ,118 ,777a -,388 -,611
ASS3 -,478 -,388 ,832a -,072
ASS4 -,411 -,611 -,072 ,784a
a. Measures of Sampling Adequacy(MSA) Communalities
Initial Extraction
ASS1 1,000 ,803
ASS2 1,000 ,839
ASS3 1,000 ,850
ASS4 1,000 ,878
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3,370 84,261 84,261 3,370 84,261 84,261
2 ,310 7,745 92,007
3 ,206 5,143 97,150
4 ,114 2,850 100,000
(Lanjutan)
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
ASS1 ,896
ASS2 ,916
ASS3 ,922
ASS4 ,937
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
RELIABILITAS ASSURANCE
Case Processing Summary
N %
Cases
Valid 35 100,0
Excludeda 0 ,0
Total 35 100,0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's
Alpha
N of Items
,937 4
Item Statistics
Mean Std. Deviation N
ASS1 4,60 1,333 35
ASS2 4,74 1,421 35
ASS3 5,00 1,350 35
ASS4 4,60 1,576 35
Item-Total Statistics Scale Mean if
Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbach's Alpha if Item
Deleted
ASS1 14,34 16,585 ,817 ,928
ASS2 14,20 15,635 ,852 ,916
ASS3 13,94 16,114 ,857 ,916
ASS4 14,34 14,232 ,885 ,908
Scale Statistics
Mean Variance Std. Deviation N of Items
18,94 27,232 5,218 4
VALIDITIAS PERSONALIZATION
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,756
Bartlett's Test of Sphericity
Approx. Chi-Square 76,644
df 3
Sig. ,000
Anti-image Matrices
PERS1 PERS2 PERS3
Anti-image Covariance
PERS1 ,242 -,101 -,147
PERS2 -,101 ,334 -,104
PERS3 -,147 -,104 ,239
Anti-image Correlation
PERS1 ,729a -,354 -,610
PERS2 -,354 ,826a -,367
PERS3 -,610 -,367 ,726a
a. Measures of Sampling Adequacy(MSA)
(Lanjutan)
Communalities
Initial Extraction
PERS1 1,000 ,886
PERS2 1,000 ,840
PERS3 1,000 ,888
Extraction Method: Principal Component Analysis.
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2,614 87,145 87,145 2,614 87,145 87,145
2 ,236 7,871 95,016
3 ,150 4,984 100,000
Extraction Method: Principal Component Analysis.
Component Matrixa Component
1
PERS1 ,941
PERS2 ,916
PERS3 ,942
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
RELIABILITY PERSONALIZATION
Case Processing Summary
N %
Cases
Valid 35 100,0
Excludeda 0 ,0
Total 35 100,0
a. Listwise deletion based on all variables in the procedure.
(Lanjutan)
(Lanjutan)
Reliability Statistics Cronbach's
Alpha
N of Items
,925 3
Item Statistics
Mean Std. Deviation N
PERS1 4,54 1,379 35
PERS2 5,11 1,301 35
PERS3 4,77 1,262 35
Item-Total Statistics Scale Mean if
Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbach's Alpha if Item
Deleted
PERS1 9,89 5,869 ,864 ,880
PERS2 9,31 6,457 ,816 ,917
PERS3 9,66 6,408 ,868 ,878
Scale Statistics
Mean Variance Std. Deviation N of Items
14,43 13,546 3,681 3
(Lanjutan) VALIDITAS ATTITUDINAL LOYALTY
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,836
Bartlett's Test of Sphericity
Approx. Chi-Square 173,248
df 10
Sig. ,000
Anti-image Matrices
ATL1 ATL2 ATL3 ATL4 ATL5
Anti-image Covariance
ATL1 ,213 ,017 -,072 -,121 ,068
ATL2 ,017 ,195 -,079 -,026 -,051
ATL3 -,072 -,079 ,115 -,006 -,070
ATL4 -,121 -,026 -,006 ,205 -,061
ATL5 ,068 -,051 -,070 -,061 ,262
Anti-image Correlation
ATL1 ,781a ,085 -,460 -,578 ,288
ATL2 ,085 ,877a -,529 -,129 -,227
ATL3 -,460 -,529 ,811a -,039 -,405
ATL4 -,578 -,129 -,039 ,857a -,262
ATL5 ,288 -,227 -,405 -,262 ,860a
a. Measures of Sampling Adequacy(MSA) Communalities
Initial Extraction
ATL1 1,000 ,769
ATL2 1,000 ,842
ATL3 1,000 ,921
ATL4 1,000 ,841
ATL5 1,000 ,766
Extraction Method: Principal Component Analysis.
(Lanjutan)
Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 4,139 82,783 82,783 4,139 82,783 82,783
2 ,440 8,805 91,588
3 ,200 3,998 95,586
4 ,141 2,826 98,412
5 ,079 1,588 100,000
Extraction Method: Principal Component Analysis.
Component Matrixa Component
1
ATL1 ,877
ATL2 ,918
ATL3 ,960
ATL4 ,917
ATL5 ,875
Extraction Method:
Principal Component Analysis.
a. 1 components extracted.
RELIABILITY ATTITUDINAL LOYALTY
Case Processing Summary
N %
Cases
Valid 35 100,0
Excludeda 0 ,0
Total 35 100,0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics Cronbach's
Alpha
N of Items
,947 5
(Lanjutan)
Item Statistics
Mean Std. Deviation N
ATL1 4,94 1,371 35
ATL2 4,83 1,505 35
ATL3 4,71 1,506 35
ATL4 4,91 1,541 35
ATL5 4,86 1,240 35
Item-Total Statistics Scale Mean if
Item Deleted
Scale Variance if Item Deleted
Corrected Item- Total Correlation
Cronbach's Alpha if Item
Deleted
ATL1 19,31 28,751 ,815 ,942
ATL2 19,43 26,840 ,866 ,933
ATL3 19,54 26,020 ,932 ,921
ATL4 19,34 26,467 ,868 ,933
ATL5 19,40 30,071 ,809 ,944
Scale Statistics
Mean Variance Std. Deviation N of Items
24,26 42,608 6,528 5
Lampiran 3 : Measurement Model
Lampiran 4 : Standardize Regression Weights (Factor Loading) Estimate
US4 <--- US ,730
US3 <--- US ,822
US2 <--- US ,886
US1 <--- US ,790
ASS4 <--- ASS ,945
ASS3 <--- ASS ,887
ASS2 <--- ASS ,899
ASS1 <--- ASS ,830
RES4 <--- RES ,905
RES3 <--- RES ,897
RES2 <--- RES ,867
RES1 <--- RES ,869
REL4 <--- REL ,902
REL3 <--- REL ,863
REL2 <--- REL ,865
REL1 <--- REL ,905
IQ4 <--- IQ ,912
IQ3 <--- IQ ,919
IQ2 <--- IQ ,899
IQ1 <--- IQ ,863
ATL2 <--- ATL ,865
ATL3 <--- ATL ,919
Estimate
ATL4 <--- ATL ,772
ATL5 <--- ATL ,802
PERS3 <--- PERS ,899
PERS2 <--- PERS ,851
PERS1 <--- PERS ,807
IQ5 <--- IQ ,898
IQ6 <--- IQ ,833
RES5 <--- RES ,898
RES6 <--- RES ,916
RES7 <--- RES -,005
ATL1 <--- ATL ,878
(Lanjutan)
Lampiran 5 : Measurement Model Valid
Lampiran 6 : Standardize Regression Weights (Factor Loading) Valid Estimate
US4 <--- US ,730
US3 <--- US ,822
US2 <--- US ,886
US1 <--- US ,790
ASS4 <--- ASS ,945
ASS3 <--- ASS ,887
ASS2 <--- ASS ,899
ASS1 <--- ASS ,830
RES4 <--- RES ,905
RES3 <--- RES ,897
RES2 <--- RES ,866
RES1 <--- RES ,869
REL4 <--- REL ,902
REL3 <--- REL ,863
REL2 <--- REL ,865
REL1 <--- REL ,905
IQ4 <--- IQ ,912
IQ3 <--- IQ ,919
IQ2 <--- IQ ,899
IQ1 <--- IQ ,863
ATL2 <--- ATL ,865
Estimate
ATL3 <--- ATL ,919
ATL4 <--- ATL ,772
ATL5 <--- ATL ,802
PERS3 <--- PERS ,899
PERS2 <--- PERS ,851
PERS1 <--- PERS ,807
IQ5 <--- IQ ,898
IQ6 <--- IQ ,833
RES5 <--- RES ,898
RES6 <--- RES ,916
ATL1 <--- ATL ,878
Lampiran 7 : Model Struktural
Lampiran 8 : Model Fit
CMIN
Model NPAR CMIN DF P CMIN/DF
Default model 70 2394,792 458 ,000 5,229
Saturated model 528 ,000 0
Independence model 32 7137,681 496 ,000 14,390
RMR, GFI
Model RMR GFI AGFI PGFI
Default model 1,360 ,496 ,419 ,430
Saturated model ,000 1,000
Independence model 1,546 ,064 ,004 ,060
Baseline Comparisons
Model NFI
Delta1
RFI rho1
IFI Delta2
TLI
rho2 CFI
Default model ,664 ,637 ,710 ,684 ,708
Saturated model 1,000 1,000 1,000
Independence model ,000 ,000 ,000 ,000 ,000
Parsimony-Adjusted Measures
Model PRATIO PNFI PCFI
Default model ,923 ,614 ,654
Saturated model ,000 ,000 ,000
Independence model 1,000 ,000 ,000
NCP
Model NCP LO 90 HI 90
Default model 1936,792 1787,379 2093,665
Saturated model ,000 ,000 ,000
Independence model 6641,681 6371,849 6917,946
(Lanjutan) FMIN
Model FMIN F0 LO 90 HI 90
Default model 14,602 11,810 10,899 12,766
Saturated model ,000 ,000 ,000 ,000
Independence model 43,522 40,498 38,853 42,183
RMSEA
Model RMSEA LO 90 HI 90 PCLOSE
Default model ,161 ,154 ,167 ,000
Independence model ,286 ,280 ,292 ,000
AIC
Model AIC BCC BIC CAIC
Default model 2534,792 2570,059 2752,208 2822,208
Saturated model 1056,000 1322,015 2695,939 3223,939
Independence model 7201,681 7217,803 7301,071 7333,071
ECVI
Model ECVI LO 90 HI 90 MECVI
Default model 15,456 14,545 16,413 15,671
Saturated model 6,439 6,439 6,439 8,061
Independence model 43,913 42,267 45,597 44,011
HOELTER
Model HOELTER
.05
HOELTER .01
Default model 35 37
Independence model 13 14
Lampiran 9 : Output Regression Weight
Estimate S.E. C.R. P Label
ATL <--- US ,357 ,056 6,343 ***
ATL <--- IQ ,135 ,040 3,368 ***
ATL <--- REL -,062 ,041 -1,506 ,132
ATL <--- RES ,423 ,050 8,494 ***
ATL <--- ASS ,054 ,036 1,496 ,135
ATL <--- PERS ,119 ,041 2,874 ,004
US4 <--- US 1,000
US3 <--- US 1,059 ,100 10,557 ***
US2 <--- US 1,067 ,097 10,995 ***
US1 <--- US ,888 ,090 9,886 ***
ASS4 <--- ASS 1,000
ASS3 <--- ASS ,956 ,048 19,744 ***
ASS2 <--- ASS ,861 ,043 19,995 ***
ASS1 <--- ASS ,860 ,055 15,733 ***
RES4 <--- RES 1,000
RES3 <--- RES ,973 ,052 18,602 ***
RES2 <--- RES ,975 ,059 16,529 ***
RES1 <--- RES ,990 ,060 16,604 ***
REL4 <--- REL 1,000
REL3 <--- REL 1,036 ,065 15,912 ***
REL2 <--- REL 1,050 ,063 16,786 ***
REL1 <--- REL 1,017 ,059 17,337 ***
Estimate S.E. C.R. P Label
IQ4 <--- IQ 1,000
IQ3 <--- IQ 1,039 ,051 20,406 ***
IQ2 <--- IQ ,984 ,052 19,012 ***
IQ1 <--- IQ ,948 ,057 16,547 ***
ATL2 <--- ATL 1,000
ATL3 <--- ATL 1,098 ,097 11,316 ***
ATL4 <--- ATL ,903 ,109 8,305 ***
ATL5 <--- ATL ,947 ,107 8,843 ***
PERS3 <--- PERS 1,000
PERS2 <--- PERS ,940 ,068 13,908 ***
PERS1 <--- PERS ,879 ,076 11,566 ***
IQ5 <--- IQ ,921 ,050 18,386 ***
IQ6 <--- IQ ,787 ,051 15,377 ***
RES5 <--- RES ,960 ,053 17,989 ***
RES6 <--- RES 1,010 ,055 18,208 ***
ATL1 <--- ATL ,972 ,094 10,388 ***
Lampiran 10 : Assesment of Normality
Variable min max skew c.r. kurtosis c.r.
ATL1 1,000 7,000 -,596 -3,126 -,249 -,652
RES6 1,000 7,000 -,568 -2,978 -,292 -,766
RES5 1,000 7,000 -,356 -1,867 -,438 -1,147
IQ6 1,000 7,000 -,636 -3,336 ,117 ,308
IQ5 1,000 7,000 -,629 -3,300 -,018 -,048
PERS1 1,000 7,000 -,461 -2,416 -,683 -1,790
PERS2 1,000 7,000 -,704 -3,694 -,132 -,345
PERS3 1,000 7,000 -,608 -3,188 -,286 -,749
ATL5 1,000 7,000 -,469 -2,460 -,538 -1,411
ATL4 1,000 7,000 -,449 -2,353 -,624 -1,635
ATL3 1,000 7,000 -,525 -2,754 -,416 -1,091
ATL2 1,000 7,000 -,888 -4,655 ,318 ,835
IQ1 1,000 7,000 -,744 -3,900 -,225 -,591
IQ2 1,000 7,000 -,518 -2,716 -,329 -,863
IQ3 1,000 7,000 -,544 -2,854 -,498 -1,306
IQ4 1,000 7,000 -,542 -2,844 -,379 -,995
REL1 1,000 7,000 -,642 -3,365 -,106 -,278
REL2 1,000 7,000 -,498 -2,614 -,516 -1,353
REL3 1,000 7,000 -,437 -2,291 -,648 -1,698
REL4 1,000 7,000 -,494 -2,591 -,195 -,511
RES1 1,000 7,000 -,422 -2,213 -,553 -1,451
RES2 1,000 7,000 -,287 -1,503 -,600 -1,573