KATA PENGANTAR
Dengan hormat,
Sehubungan dengan persyaratan penyelesaian pendidikan sarjana di
Fakultas Psikologi USU, peneliti bermaksud untuk melakukan penelitian di
bidang Psikometri. Untuk itu, peneliti membutuhkan sejumlah data yang dapat
diperoleh dengan adanya kerjasama dari saudara/i dalam mengisi skala ini.
Peneliti sangat mengharapkan saudara/i lebih dahulu memperhatikan
petunjuk tersebut dengan sebelum mengisi skala ini. Ketika selesai mengerjakan,
periksalah kembali jawaban saudara/i agar tidak ada pernyataan yang terlewatkan.
Kesediaan saudara/i untuk mengisi skala ini merupakan bantuan yang
sangat berharga untuk keberhasilan penelitian ini. Untuk itu, peneliti
mengucapkan terima kasih.
Hormat Kami,
BIG FIVE INVENTORY
Berikut adalah beberapa karakteristik yang mungkin atau mungkin tidak
menggambarkan diri anda. Misalnya pada pernyataan “saya adalah seseorang
yang senang menghabiskan waktu dengan orang lain”, maka tuliskan nomor di
samping pernyataan yang menyatakan anda setuju atau tidak setuju dengan
pernyataan tersebut.
Saya adalah seseorang (yang)…
1. _______ Suka mengobrol.
2. _______ Cenderung mencari kesalahan orang lain.
3. _______ Mengerjakan tugas sampai selesai.
4. _______ Mudah merasa tertekan dan sedih.
5. _______ Memiliki ide-ide yang inovatif.
6. _______ Suka menyendiri.
7. _______ Senang membantu dan tidak egois.
8. _______ Terkadang ceroboh.
9. _______ Dapat menghadapi situasi stress dengan baik.
10. _______ Memiliki rasa ingin tahu terhadap banyak hal.
11. _______ Penuh semangat.
12. _______ Tidak takut berargumentasi dengan orang lain.
13. _______ Pekerja yang dapat diandalkan.
17. _______ Mudah memaafkan.
18. _______ Cenderung tidak teratur atau berantakan.
19. _______ Pencemas.
20. _______ Memiliki imajinasi yang tinggi
21. _______ Cenderung pendiam
22. _______ Mudah mempercayai orang lain
23. _______ Cenderung pemalas
24. _______ Secara emosional stabil, tidak mudah tersinggung
25. _______ Mudah menemukan suatu ide baru.
26. _______ Percaya diri.
27. _______ Cenderung menjaga jarak dengan orang lain.
28. _______ Mampu bertahan hingga suatu tugas selesai.
29. _______ Suasana hati mudah berubah.
30. _______ Menghargai hal-hal yang indah dan berseni.
31. _______ Terkadang pemalu.
32. _______ Baik dan perhatian hampir terhadap setiap orang.
33. _______ Melakukan sesuatu dengan efisien.
34. _______ Tetap tenang pada situasi yang menegangkan.
35. _______ Lebih menyukai pekerjaan yang rutin.
36. _______ Santai dan mudah bergaul.
37. _______ Terkadang kasar kepada orang lain.
38. _______ Dapat membuat rencana dan menjalankannya.
39. _______ Mudah merasa cemas.
41. _______ Kurang memiliki ketertarikan terhadap seni.
42. _______ Senang bekerjasama dengan orang lain.
43. _______ Perhatiannya mudah terganggu.
Hasil Analisis Regresi Logistik
Aitem1
Matrix
[DataSet14] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Extraversion\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 8.00 2.45 97.55
2.00 24.00 7.34 90.21
3.00 103.00 31.50 58.72
4.00 119.00 36.39 22.32
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 19.7095 2.4403
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
-2 Log-Likelihood of Model with Constants only:
882.224
-2 Log-Likelihood of full Model:
856.242
LR-statistic
Chisqu. DF Prob. %-Reduct
25.982 1.000 .000 .029
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
R-Square (%):
7.97
Standardized regression weights of the latent variable:
total .2823
--- END MATRIX ---
Matrix
[DataSet14] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Extraversion\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 8.00 2.45 97.55
2.00 24.00 7.34 90.21
3.00 103.00 31.50 58.72
4.00 119.00 36.39 22.32
5.00 73.00 22.32 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 19.7095 2.4403
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
882.224
-2 Log-Likelihood of full Model:
817.677
LR-statistic
Chisqu. DF Prob. %-Reduct
64.547 2.000 .000 .073
Estimations, standard errors, and effects
---
total .217038 .044673 4.858417 .000001
Results assuming a latent continuous variable
---
R-Square (%):
18.86
Standardized regression weights of the latent variable:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
int1.1 total grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 8.00 2.45 97.55
2.00 24.00 7.34 90.21
3.00 103.00 31.50 58.72
4.00 119.00 36.39 22.32
5.00 73.00 22.32 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
grp 1.4740 .5001
int1.1 29.1498 10.7509
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
882.224
-2 Log-Likelihood of full Model:
815.658
LR-statistic
Chisqu. DF Prob. %-Reduct
66.565 3.000 .000 .075
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
R-Square (%):
19.54
Standardized regression weights of the latent variable:
total .4754
grp .9456
int1.1 -.6752
--- END MATRIX ---
Aitem 2
Matrix
[DataSet13] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Conscientiousness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 53.00 16.21 83.79
2.00 149.00 45.57 38.23
3.00 75.00 22.94 15.29
4.00 41.00 12.54 2.75
5.00 9.00 2.75 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 21.8043 2.9782
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
882.921
-2 Log-Likelihood of full Model:
788.475
LR-statistic
Chisqu. DF Prob. %-Reduct
94.445 1.000 .000 .107
Estimations, standard errors, and effects
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
total .369195 .040652 9.081770 .000000 1.446569 3.002747
Const.1 -6.023717 .844968 -7.128926 .000000 .002421 1.000000
Const.2 -8.605489 .912690 -9.428711 .000000 .000183 1.000000
Const.3 -10.119867 .959510 -10.546909 .000000 .000040 1.000000
Const.4 -12.187274 1.041476 -11.701921 .000000 .000005 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
26.87
Standardized regression weights of the latent variable:
total .5184
--- END MATRIX ---
Matrix
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 53.00 16.21 83.79
2.00 149.00 45.57 38.23
3.00 75.00 22.94 15.29
4.00 41.00 12.54 2.75
5.00 9.00 2.75 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
-2 Log-Likelihood of full Model:
772.660
LR-statistic
Chisqu. DF Prob. %-Reduct
110.261 2.000 .000 .125
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
---
31.42
Standardized regression weights of the latent variable:
total .5248
grp -.1921
--- END MATRIX ---
Matrix
[DataSet13] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Conscientiousness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 53.00 16.21 83.79
2.00 149.00 45.57 38.23
3.00 75.00 22.94 15.29
4.00 41.00 12.54 2.75
5.00 9.00 2.75 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 21.8043 2.9782
grp 1.4740 .5001
int1.1 32.1254 11.7450
******************** Estimation Section ********************
Running Iteration No.:
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
882.921
-2 Log-Likelihood of full Model:
770.587
LR-statistic
Chisqu. DF Prob. %-Reduct
Estimations, standard errors, and effects
Results assuming a latent continuous variable
---
R-Square (%):
32.10
Standardized regression weights of the latent variable:
total .7287
grp .3297
--- END MATRIX ---
Aitem 3
Matrix
[DataSet13] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Conscientiousness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 2.00 .61 99.39
2.00 20.00 6.12 93.27
3.00 72.00 22.02 71.25
4.00 169.00 51.68 19.57
5.00 64.00 19.57 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 21.8043 2.9782
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
781.949
-2 Log-Likelihood of full Model:
780.420
LR-statistic
Chisqu. DF Prob. %-Reduct
1.529 1.000 .216 .002
Estimations, standard errors, and effects
---
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
Const.1 4.110029 1.061040 3.873586 .000107 60.948458 1.000000
Const.2 1.646506 .821602 2.004018 .045068 5.188817 1.000000
Const.3 -.076793 .803746 -.095543 .923883 .926082 1.000000
Const.4 -2.405115 .816010 -2.947410 .003204 .090255 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
.55
Standardized regression weights of the latent variable:
total .0743
--- END MATRIX ---
Matrix
[DataSet13] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Conscientiousness\data.sav
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 2.00 .61 99.39
2.00 20.00 6.12 93.27
3.00 72.00 22.02 71.25
4.00 169.00 51.68 19.57
5.00 64.00 19.57 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 21.8043 2.9782
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
781.949
-2 Log-Likelihood of full Model:
780.396
LR-statistic
Chisqu. DF Prob. %-Reduct
Estimations, standard errors, and effects
Results assuming a latent continuous variable
---
R-Square (%):
.56
Standardized regression weights of the latent variable:
total .0745
grp .0088
Matrix
[DataSet13] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Conscientiousness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
int1.1 total grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
2.00 20.00 6.12 93.27
3.00 72.00 22.02 71.25
4.00 169.00 51.68 19.57
5.00 64.00 19.57 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 21.8043 2.9782
grp 1.4740 .5001
int1.1 32.1254 11.7450
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
781.949
-2 Log-Likelihood of full Model:
767.489
LR-statistic
Chisqu. DF Prob. %-Reduct
14.460 3.000 .002 .018
Estimations, standard errors, and effects
---
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
total -.339645 .113635 -2.988912 .002800 .712023 .363665
grp -5.720304 1.624858 -3.520495 .000431 .003279 .057231
Const.1 12.513264 2.622816 4.770928 .000002 271920.16568 1.000000
Const.2 10.048562 2.533762 3.965867 .000073 23122.519745 1.000000
Const.3 8.293774 2.515031 3.297683 .000975 3998.895633 1.000000
Const.4 5.888454 2.488972 2.365818 .017990 360.846977 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
4.70
Standardized regression weights of the latent variable:
total -.5444
grp -1.5396
int1.1 1.6712
--- END MATRIX ---
Aitem 4
Matrix
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 20.00 6.12 93.88
2.00 89.00 27.22 66.67
3.00 105.00 32.11 34.56
4.00 97.00 29.66 4.89
5.00 16.00 4.89 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
914.279
851.295
LR-statistic
Chisqu. DF Prob. %-Reduct
62.984 1.000 .000 .069
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
---
R-Square (%):
18.72
Standardized regression weights of the latent variable:
--- END MATRIX ---
Matrix
[DataSet7] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Neuroticism\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 20.00 6.12 93.88
2.00 89.00 27.22 66.67
3.00 105.00 32.11 34.56
5.00 16.00 4.89 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 34.2661 4.5293
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
914.279
-2 Log-Likelihood of full Model:
850.678
LR-statistic
Chisqu. DF Prob. %-Reduct
63.601 2.000 .000 .070
Estimations, standard errors, and effects
---
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
total .189647 .025350 7.481072 .000000 1.208823 2.360739
grp -.161497 .205530 -.785759 .432009 .850869 .922413
Const.1 -3.198233 .934780 -3.421374 .000623 .040834 1.000000
Const.3 -6.936278 .971998 -7.136102 .000000 .000972 1.000000
Const.4 -9.560424 1.048358 -9.119425 .000000 .000070 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
18.85
Standardized regression weights of the latent variable:
total .4266
grp -.0401
--- END MATRIX ---
.
Matrix
[DataSet7] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Neuroticism\data.sav
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
int1.1 total grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 20.00 6.12 93.88
2.00 89.00 27.22 66.67
3.00 105.00 32.11 34.56
4.00 97.00 29.66 4.89
5.00 16.00 4.89 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
grp 1.4740 .5001
int1.1 50.1835 17.5397
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
914.279
-2 Log-Likelihood of full Model:
843.897
LR-statistic
Chisqu. DF Prob. %-Reduct
70.382 3.000 .000 .077
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
R-Square (%):
20.06
Standardized regression weights of the latent variable:
total .0275
grp -1.0594
int1.1 1.0534
--- END MATRIX ---
Aitem 5
Matrix
[DataSet11] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Openness\data.sav
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 7.00 2.14 97.86
2.00 12.00 3.67 94.19
3.00 129.00 39.45 54.74
4.00 142.00 43.43 11.31
5.00 37.00 11.31 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 47.4924 5.6828
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
Running Iteration No.:
5
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
771.259
608.250
LR-statistic
Chisqu. DF Prob. %-Reduct
163.009 1.000 .000 .211
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
---
R-Square (%):
44.63
Standardized regression weights of the latent variable:
--- END MATRIX ---
Matrix
[DataSet11] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Openness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 7.00 2.14 97.86
2.00 12.00 3.67 94.19
4.00 142.00 43.43 11.31
5.00 37.00 11.31 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 47.4924 5.6828
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
Running Iteration No.:
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
771.259
-2 Log-Likelihood of full Model:
608.230
LR-statistic
Chisqu. DF Prob. %-Reduct
163.029 2.000 .000 .211
Estimations, standard errors, and effects
---
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
total .286328 .025533 11.213980 .000000 1.331529 5.089244
Const.1 -8.585869 1.138017 -7.544591 .000000 .000187 1.000000
Const.2 -9.820864 1.123468 -8.741562 .000000 .000054 1.000000
Const.3 -13.362100 1.233864 -10.829473 .000000 .000002 1.000000
Const.4 -16.503194 1.354028 -12.188225 .000000 .000000 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
44.65
Standardized regression weights of the latent variable:
total .6674
grp .0065
--- END MATRIX ---
Matrix
[DataSet11] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Openness\data.sav
Run MATRIX procedure:
(by Steffen M. KUEHNEL)
Interaction term total*grp
int1.1 total grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 7.00 2.14 97.86
2.00 12.00 3.67 94.19
3.00 129.00 39.45 54.74
4.00 142.00 43.43 11.31
5.00 37.00 11.31 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 47.4924 5.6828
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
Running Iteration No.:
5
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
-2 Log-Likelihood of Model with Constants only:
771.259
-2 Log-Likelihood of full Model:
608.224
LR-statistic
Chisqu. DF Prob. %-Reduct
163.035 3.000 .000 .211
Estimations, standard errors, and effects
---
---
R-Square (%):
44.64
Standardized regression weights of the latent variable:
total .6565
grp -.0257
int1.1 .0354
--- END MATRIX ---
Aitem 6
Matrix
[DataSet14] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Extraversion\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 35.00 10.70 89.30
2.00 99.00 30.28 59.02
3.00 96.00 29.36 29.66
4.00 78.00 23.85 5.81
5.00 19.00 5.81 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 19.7095 2.4403
******************** Estimation Section ********************
Running Iteration No.:
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
960.036
-2 Log-Likelihood of full Model:
816.993
LR-statistic
Chisqu. DF Prob. %-Reduct
Estimations, standard errors, and effects
---
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
total .566329 .051621 10.970846 .000000 1.761788 3.982984
Const.1 -8.431011 .960647 -8.776393 .000000 .000218 1.000000
Const.2 -10.617761 1.005429 -10.560433 .000000 .000024 1.000000
Const.3 -12.298961 1.060750 -11.594591 .000000 .000005 1.000000
Const.4 -14.784464 1.163035 -12.711968 .000000 .000000 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
36.73
Standardized regression weights of the latent variable:
total .6061
Matrix
[DataSet14] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Extraversion\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 35.00 10.70 89.30
2.00 99.00 30.28 59.02
3.00 96.00 29.36 29.66
4.00 78.00 23.85 5.81
5.00 19.00 5.81 .00
Effective sample size:
Means and standard deviations of independent variables:
Mean Std.Dev.
total 19.7095 2.4403
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
---
-2 Log-Likelihood of Model with Constants only:
960.036
-2 Log-Likelihood of full Model:
805.910
LR-statistic
Chisqu. DF Prob. %-Reduct
154.125 2.000 .000 .161
Estimations, standard errors, and effects
Results assuming a latent continuous variable
---
R-Square (%):
39.17
Standardized regression weights of the latent variable:
total .6198
grp -.1496
--- END MATRIX ---
Matrix
[DataSet14] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Extraversion\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 35.00 10.70 89.30
2.00 99.00 30.28 59.02
3.00 96.00 29.36 29.66
4.00 78.00 23.85 5.81
5.00 19.00 5.81 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 19.7095 2.4403
grp 1.4740 .5001
int1.1 29.1498 10.7509
******************** Estimation Section ********************
Running Iteration No.:
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
960.036
-2 Log-Likelihood of full Model:
805.888
LR-statistic
Chisqu. DF Prob. %-Reduct
Estimations, standard errors, and effects
Results assuming a latent continuous variable
---
R-Square (%):
39.16
Standardized regression weights of the latent variable:
total .6392
grp -.0919
--- END MATRIX ---
Aitem 7
Matrix
[DataSet15] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Agreeableness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 2.00 .61 99.39
2.00 6.00 1.83 97.55
3.00 96.00 29.36 68.20
4.00 158.00 48.32 19.88
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 24.3180 2.6148
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
743.555
-2 Log-Likelihood of full Model:
621.025
LR-statistic
Chisqu. DF Prob. %-Reduct
122.530 1.000 .000 .165
Estimations, standard errors, and effects
Results assuming a latent continuous variable
---
R-Square (%):
35.56
Standardized regression weights of the latent variable:
total .5963
--- END MATRIX ---
Matrix
[DataSet15] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Agreeableness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 2.00 .61 99.39
2.00 6.00 1.83 97.55
3.00 96.00 29.36 68.20
4.00 158.00 48.32 19.88
5.00 65.00 19.88 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 24.3180 2.6148
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
743.555
-2 Log-Likelihood of full Model:
620.553
LR-statistic
Chisqu. DF Prob. %-Reduct
123.002 2.000 .000 .165
Estimations, standard errors, and effects
Coeff.=B Std.Err. B/Std.E. Prob.
Results assuming a latent continuous variable
---
R-Square (%):
35.59
Standardized regression weights of the latent variable:
total .5905
grp .0339
--- END MATRIX ---
[DataSet15] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Agreeableness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
int1.1 total grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 2.00 .61 99.39
2.00 6.00 1.83 97.55
3.00 96.00 29.36 68.20
4.00 158.00 48.32 19.88
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 24.3180 2.6148
grp 1.4740 .5001
int1.1 36.0398 13.3438
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
743.555
-2 Log-Likelihood of full Model:
619.823
LR-statistic
Chisqu. DF Prob. %-Reduct
123.732 3.000 .000 .166
Estimations, standard errors, and effects
Const.3 -8.968276 3.334631 -2.689436 .007157 .000127 1.000000
Const.4 -11.823695 3.359223 -3.519771 .000432 .000007 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
35.68
Standardized regression weights of the latent variable:
total .4634
grp -.3775
int1.1 .4505
--- END MATRIX ---
Aitem 8
Matrix
[DataSet13] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Conscientiousness\data.sav
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 14.00 4.28 95.72
2.00 41.00 12.54 83.18
3.00 94.00 28.75 54.43
4.00 148.00 45.26 9.17
5.00 30.00 9.17 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
870.841
-2 Log-Likelihood of full Model:
LR-statistic
Chisqu. DF Prob. %-Reduct
135.892 1.000 .000 .156
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
---
R-Square (%):
37.13
Standardized regression weights of the latent variable:
total .6093
Matrix
[DataSet13] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Conscientiousness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 14.00 4.28 95.72
2.00 41.00 12.54 83.18
3.00 94.00 28.75 54.43
4.00 148.00 45.26 9.17
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 21.8043 2.9782
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
870.841
-2 Log-Likelihood of full Model:
729.534
LR-statistic
Chisqu. DF Prob. %-Reduct
141.307 2.000 .000 .162
Estimations, standard errors, and effects
Const.4 -14.020529 1.164416 -12.040829 .000000 .000001 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
38.27
Standardized regression weights of the latent variable:
total .6102
grp .1079
--- END MATRIX ---
Matrix
[DataSet13] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Conscientiousness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 14.00 4.28 95.72
2.00 41.00 12.54 83.18
3.00 94.00 28.75 54.43
4.00 148.00 45.26 9.17
5.00 30.00 9.17 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 21.8043 2.9782
grp 1.4740 .5001
int1.1 32.1254 11.7450
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
870.841
-2 Log-Likelihood of full Model:
724.279
LR-statistic
146.562 3.000 .000 .168
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
---
R-Square (%):
39.19
Standardized regression weights of the latent variable:
total .2962
int1.1 .8624
--- END MATRIX ---
Aitem 9
Matrix
[DataSet7] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Neuroticism\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 3.00 .92 99.08
2.00 42.00 12.84 86.24
3.00 115.00 35.17 51.07
4.00 131.00 40.06 11.01
5.00 36.00 11.01 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 34.2661 4.5293
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
839.429
-2 Log-Likelihood of full Model:
839.411
LR-statistic
Chisqu. DF Prob. %-Reduct
.018 1.000 .894 .000
Estimations, standard errors, and effects
---
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
total .003059 .022976 .133150 .894074 1.003064 1.013953
Const.2 1.730445 .803050 2.154841 .031174 5.643166 1.000000
Const.3 -.061569 .791738 -.077765 .938015 .940288 1.000000
Const.4 -2.194207 .803988 -2.729154 .006350 .111447 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
.01
Standardized regression weights of the latent variable:
total .0076
--- END MATRIX ---
Matrix
[DataSet7] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Neuroticism\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 3.00 .92 99.08
2.00 42.00 12.84 86.24
3.00 115.00 35.17 51.07
4.00 131.00 40.06 11.01
5.00 36.00 11.01 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 34.2661 4.5293
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
Running Iteration No.:
2
Running Iteration No.:
3
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
839.429
-2 Log-Likelihood of full Model:
833.545
LR-statistic
Chisqu. DF Prob. %-Reduct
5.883 2.000 .053 .007
---
Results assuming a latent continuous variable
---
R-Square (%):
1.83
Standardized regression weights of the latent variable:
total -.0105
grp -.1363
--- END MATRIX ---
[DataSet7] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Neuroticism\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
int1.1 total grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 3.00 .92 99.08
2.00 42.00 12.84 86.24
3.00 115.00 35.17 51.07
4.00 131.00 40.06 11.01
5.00 36.00 11.01 .00
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 34.2661 4.5293
grp 1.4740 .5001
int1.1 50.1835 17.5397
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
-2 Log-Likelihood of Model with Constants only:
839.429
-2 Log-Likelihood of full Model:
832.865
LR-statistic
Chisqu. DF Prob. %-Reduct
6.564 3.000 .087 .008
Estimations, standard errors, and effects
Results assuming a latent continuous variable
---
R-Square (%):
2.07
Standardized regression weights of the latent variable:
total .1278
grp .2190
int1.1 -.3655
--- END MATRIX ---
Aitem 10
Matrix
[DataSet11] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Openness\data.sav
Run MATRIX procedure:
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 3.00 .92 99.08
2.00 6.00 1.83 97.25
3.00 54.00 16.51 80.73
4.00 169.00 51.68 29.05
5.00 95.00 29.05 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 47.4924 5.6828
******************** Estimation Section ********************
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
Running Iteration No.:
5
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
728.589
-2 Log-Likelihood of full Model:
LR-statistic
Chisqu. DF Prob. %-Reduct
129.521 1.000 .000 .178
Estimations, standard errors, and effects
---
Results assuming a latent continuous variable
---
R-Square (%):
38.11
Standardized regression weights of the latent variable:
total .6173
Matrix
[DataSet11] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Openness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 3.00 .92 99.08
2.00 6.00 1.83 97.25
3.00 54.00 16.51 80.73
4.00 169.00 51.68 29.05
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 47.4924 5.6828
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
Running Iteration No.:
5
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
728.589
-2 Log-Likelihood of full Model:
598.945
LR-statistic
Chisqu. DF Prob. %-Reduct
129.644 2.000 .000 .178
Estimations, standard errors, and effects
---
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
total .249528 .024892 10.024526 .000000 1.283420 4.128886
grp .079143 .226028 .350148 .726228 1.082359 1.040372
Const.2 -7.485143 1.110794 -6.738551 .000000 .000561 1.000000
Const.3 -10.031412 1.131129 -8.868498 .000000 .000044 1.000000
Const.4 -13.183206 1.246603 -10.575301 .000000 .000002 1.000000
Results assuming a latent continuous variable
---
R-Square (%):
38.10
Standardized regression weights of the latent variable:
total .6151
grp .0172
--- END MATRIX ---
Matrix
[DataSet11] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Openness\data.sav
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
Interaction term total*grp
int1.1 total grp
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 3.00 .92 99.08
2.00 6.00 1.83 97.25
3.00 54.00 16.51 80.73
4.00 169.00 51.68 29.05
5.00 95.00 29.05 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 47.4924 5.6828
int1.1 70.3272 26.1332
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
Running Iteration No.:
5
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
-2 Log-Likelihood of Model with Constants only:
728.589
-2 Log-Likelihood of full Model:
593.762
LR-statistic
Chisqu. DF Prob. %-Reduct
134.826 3.000 .000 .185
Estimations, standard errors, and effects
Results assuming a latent continuous variable
---
R-Square (%):
39.26
Standardized regression weights of the latent variable:
total .2857
grp -.9442
int1.1 1.0668
--- END MATRIX ---
Aitem 11
Matrix
[DataSet11] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Openness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 1.00 .31 99.69
2.00 9.00 2.75 96.94
3.00 82.00 25.08 71.87
4.00 164.00 50.15 21.71
5.00 71.00 21.71 .00
Effective sample size:
327
Means and standard deviations of independent variables:
Mean Std.Dev.
total 47.4924 5.6828
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
Running Iteration No.:
3
Running Iteration No.:
4
Running Iteration No.:
5
... Optimal solution found.
******************** OUTPUT SECTION ********************
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
746.325
-2 Log-Likelihood of full Model:
552.915
LR-statistic
Chisqu. DF Prob. %-Reduct
Estimations, standard errors, and effects
---
Coeff.=B Std.Err. B/Std.E. Prob. exp(B) exp(B*S)
total .334629 .028879 11.587164 .000000 1.397422 6.696704
Const.1 -8.304632 1.504290 -5.520634 .000000 .000247 1.000000
Const.2 -10.960169 1.223069 -8.961205 .000000 .000017 1.000000
Const.3 -14.435349 1.313126 -10.993118 .000000 .000001 1.000000
Const.4 -17.901158 1.465474 -12.215265 .000000 .000000 1.000000
Results assuming a latent continuous variable
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R-Square (%):
52.36
Standardized regression weights of the latent variable:
total .7236
Matrix
[DataSet11] C:\Users\ASPIRE_7S\Documents\eksp\new\new\revisi\Data krip ktiga\Openness\data.sav
Run MATRIX procedure:
LOGISTIC REGRESSION with an ORDINAL DEPENDENT VARIBLE
(by Steffen M. KUEHNEL)
******************** Information Section ********************
Dependent variable is:
item
Marginal distribution of dependent variable
Value Frequ. Percent %>Value
1.00 1.00 .31 99.69
2.00 9.00 2.75 96.94
3.00 82.00 25.08 71.87
4.00 164.00 50.15 21.71
5.00 71.00 21.71 .00
Effective sample size:
Means and standard deviations of independent variables:
Mean Std.Dev.
total 47.4924 5.6828
grp 1.4740 .5001
******************** Estimation Section ********************
Running Iteration No.:
1
Running Iteration No.:
2
Running Iteration No.:
3
Running Iteration No.:
4
Running Iteration No.:
5
... Optimal solution found.
LR-test that all predictor weights are zero
---
-2 Log-Likelihood of Model with Constants only:
746.325
-2 Log-Likelihood of full Model:
552.754
LR-statistic
Chisqu. DF Prob. %-Reduct
193.571 2.000 .000 .259
Estimations, standard errors, and effects
