coefficients a

A. CSESS DAN CDSESF

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

Correlations

B Std. Error Beta Zero-order Partial Part

1 (Constant) 26,342 4,638 5,680 ,000

VICARIOUS LEARNING ,373 ,272 ,049 1,370 ,171 ,328 ,057 ,044

VERBAL PERSUASION ,909 ,234 ,159 3,885 ,000 ,464 ,160 ,123

EMOSI AROUSAL (+) 1,218 ,314 ,169 3,882 ,000 ,518 ,160 ,123

EMOSI AROUSAL (-) -,401 ,139 -,094 -2,879 ,004 -,166 -,119 -,091

PERSONAL

ACCOMPLISHMENT2,374 ,284 ,373 8,361 ,000 ,601 ,329 ,266

a. Dependent Variable: CDSESF

Tabel 3. Tabel Analisis Regresi Multipel untuk Variabel Subscale CSESS dan CDSESF (N=854)

Variabel b β Sig Korelasi

Parsial

Korelasi

Semiparsial

Vicarious Learning

,373 ,049 ,171 ,057 ,044

Verbal Persuasion ,909 ,159 ,000 ,160 ,123Emosi Arousal (+) 1,218 ,169 ,000 ,160 ,123Emosi Arousal (-) -,401 -,094 ,004 -,119 -,091Personal Accomplishment

2,374 ,373 ,000 ,329 ,266

p < 0,5

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 29,625 3,974 7,455 ,000

VERBAL PERSUASION ,966 ,231 ,169 4,189 ,000 ,464 ,172 ,133

EMOSI AROUSAL (+) 1,247 ,313 ,173 3,978 ,000 ,518 ,163 ,127

EMOSI AROUSAL (-) -,406 ,140 -,095 -2,912 ,004 -,166 -,120 -,093

PERSONAL

ACCOMPLISHMENT2,452 ,278 ,385 8,807 ,000 ,601 ,344 ,280


Pada tabel di atas didapatkan bahwa variabel vicarious learning tidak signifikan karena nilai Sig > ALPHA = 0,171 > 0,05 sehingga variabel ini dikeluarkan dari model.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

Change Statistics

R Square Change F Change df1 df2 Sig. F Change

1 ,644a ,415 ,411 12,060 ,415 102,667 4 578 ,000

a. Predictors: (Constant), PERSONAL ACCOMPLISHMENT, EMOSI AROUSAL (-), VERBAL PERSUASION, EMOSI AROUSAL (+)

b. Dependent Variable: CDSESF

Dari output model summary di atas terlihat bahwa nilai R (koefisien korelasi) sebesar 0,644 yang berarti bahwa variabel dependent dan independent dapat dikategorikan memiliki hubungan linear yang kuat.

Berdasarkan gambar di atas didapatkan angka Adjusted R Square sebesar 0,411 atau 41,1 %. Hal ini menunjukkan bahwa verbal persuasion, emosi arousal positive, emosi arousal negative, dan personal accomplishment berpengaruh sebesar 41,1 % terhadap CDSESF sedangkan sisanya sebesar dipengaruhi oleh variabel atau faktor lain penelitian.

Standar error f the estimate (SEE) sebesar 12,06. Makin kecil nilai SEE akan membuat model regresi semakin tepat dala memprediksi variabel.

Uji Statistik F menunjukkan apakah semua variabel independent atau bebas yang dimasukkan dalam model mempunyai pengaruh secara bersama-sama terhadap variabel dependen atau tidak.

- Hipotesiso Ho : Beta = 0 (model regresi Y terhadap Xi tidak signifikan/tidak berarti/tidak sesuai)o Ho : Beta =/ 0 (model regresi Y terhadap Xi signifikan/memiliki arti/sesuai)

- Tingkat signifikansi- Daerah kritis

o Fhit>Ftab : tolak Hoo Sig <= alpha : tolak Ho

- Uji statistikao Fhitung =

- Aa

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 59732,763 4 14933,191 102,667 ,000b

Residual 84071,467 578 145,452

Total 143804,230 582


b. Predictors: (Constant), PERSONAL ACCOMPLISHMENT, EMOSI AROUSAL (-), VERBAL

PERSUASION, EMOSI AROUSAL (+)

B. CSESS DAN CESR

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 15,522 5,189 2,991 ,003

VICARIOUS LEARNING -,429 ,305 -,052 -1,407 ,160 ,230 -,058 -,046

VERBAL PERSUASION 1,912 ,262 ,311 7,298 ,000 ,529 ,291 ,241

EMOSI AROUSAL (+) 1,354 ,351 ,174 3,856 ,000 ,485 ,158 ,127

EMOSI AROUSAL (-) ,303 ,156 ,066 1,943 ,052 ,027 ,081 ,064

PERSONAL

ACCOMPLISHMENT1,783 ,318 ,260 5,612 ,000 ,504 ,227 ,185

a. Dependent Variable: CESR

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 11,750 4,447 2,642 ,008


EMOSI AROUSAL (+) 1,321 ,351 ,170 3,768 ,000 ,485 ,155 ,125

EMOSI AROUSAL (-) ,309 ,156 ,067 1,977 ,048 ,027 ,082 ,065

PERSONAL

ACCOMPLISHMENT1,694 ,312 ,247 5,436 ,000 ,504 ,221 ,180


Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

Change Statistics


1 ,606a ,368 ,363 13,496 ,368 84,050 4 578 ,000

a. Predictors: (Constant), PERSONAL ACCOMPLISHMENT, EMOSI AROUSAL (-), VERBAL PERSUASION, EMOSI AROUSAL (+)

b. Dependent Variable: CESR

ANOVAa


1 Regression 61238,134 4 15309,534 84,050 ,000b

Residual 105281,752 578 182,148

Total 166519,887 582


b. Predictors: (Constant), PERSONAL ACCOMPLISHMENT, EMOSI AROUSAL (-), VERBAL

PERSUASION, EMOSI AROUSAL (+)

C. CDSESF – CESR

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 30,384 3,382 8,985 ,000

SELF APPRAISAL -,276 ,331 -,054 -,833 ,405 ,488 -,035 -,027

OCCUPATIONAL

INFORMATION1,874 ,271 ,407 6,924 ,000 ,583 ,277 ,227

GOAL SELECTION -,444 ,277 -,094 -1,599 ,110 ,432 -,066 -,052

PLANNING ,849 ,294 ,196 2,888 ,004 ,535 ,119 ,094

PROBLEM SOLVING 1,051 ,222 ,217 4,729 ,000 ,490 ,193 ,155


Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 27,329 3,056 8,942 ,000

OCCUPATIONAL

INFORMATION1,709 ,258 ,371 6,625 ,000 ,583 ,265 ,217

PLANNING ,511 ,247 ,118 2,069 ,039 ,535 ,086 ,068

PROBLEM SOLVING ,961 ,205 ,199 4,688 ,000 ,490 ,191 ,154


Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

Change Statistics


1 ,614a ,377 ,373 13,378 ,377 116,788 3 580 ,000

a. Predictors: (Constant), PROBLEM SOLVING, OCCUPATIONAL INFORMATION, PLANNING

b. Dependent Variable: CESR

ANOVAa


1 Regression 62709,760 3 20903,253 116,788 ,000b

Residual 103810,754 580 178,984

Total 166520,514 583


b. Predictors: (Constant), PROBLEM SOLVING, OCCUPATIONAL INFORMATION, PLANNING

D. SUBSCALE CDSESF – CDMOE

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 27,848 1,174 23,723 ,000

SELF APPRAISAL ,120 ,115 ,082 1,040 ,299 ,280 ,043 ,041

OCCUPATIONAL

INFORMATION,159 ,094 ,120 1,691 ,091 ,286 ,070 ,067

GOAL SELECTION -,072 ,096 -,053 -,743 ,458 ,235 -,031 -,029

PLANNING ,164 ,102 ,131 1,608 ,108 ,289 ,067 ,063

PROBLEM SOLVING ,089 ,077 ,064 1,149 ,251 ,243 ,048 ,045

a. Dependent Variable: CDMOE

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

Change Statistics


1 ,286a ,082 ,080 4,659 ,082 51,981 1 582 ,000

a. Predictors: (Constant), OCCUPATIONAL INFORMATION

b. Dependent Variable: CDMOE

ANOVAa


1 Regression 1128,558 1 1128,558 51,981 ,000b

Residual 12635,687 582 21,711

Total 13764,245 583


b. Predictors: (Constant), OCCUPATIONAL INFORMATION

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 29,091 ,973 29,911 ,000

OCCUPATIONAL

INFORMATION,379 ,053 ,286 7,210 ,000 ,286 ,286 ,286


E. CDSESF – CEPI

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 14,001 ,712 19,666 ,000

SELF APPRAISAL -,009 ,070 -,009 -,125 ,900 ,337 -,005 -,005

OCCUPATIONAL

INFORMATION,240 ,057 ,286 4,206 ,000 ,405 ,172 ,159

GOAL SELECTION ,065 ,058 ,075 1,108 ,268 ,346 ,046 ,042

PLANNING ,062 ,062 ,079 1,008 ,314 ,369 ,042 ,038

PROBLEM SOLVING ,012 ,047 ,013 ,254 ,800 ,265 ,011 ,010

a. Dependent Variable: CEPI

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

Change Statistics


1 ,405a ,164 ,162 2,814 ,164 114,049 1 582 ,000

a. Predictors: (Constant), OCCUPATIONAL INFORMATION

b. Dependent Variable: CEPI

ANOVAa


1 Regression 902,815 1 902,815 114,049 ,000b

Residual 4607,142 582 7,916

Total 5509,957 583


b. Predictors: (Constant), OCCUPATIONAL INFORMATION

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 14,594 ,587 24,850 ,000

OCCUPATIONAL

INFORMATION,339 ,032 ,405 10,679 ,000 ,405 ,405 ,405


F. CDMOE dan CESR

Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 ,246a ,060 ,059 16,396

a. Predictors: (Constant), CDMOE

ANOVAa


1 Regression 10055,096 1 10055,096 37,402 ,000b

Residual 156465,418 582 268,841

Total 166520,514 583


b. Predictors: (Constant), CDMOE

Coefficientsa

Model


Standardized

Coefficients

t Sig.B Std. Error Beta

1 (Constant) 52,470 5,072 10,346 ,000

CDMOE ,855 ,140 ,246 6,116 ,000


G. CSESS, CDSESF TO CESR

Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 ,671a ,450 ,444 12,607

a. Predictors: (Constant), CDSESF, EMOSI AROUSAL (-), VICARIOUS

LEARNING, VERBAL PERSUASION, EMOSI AROUSAL (+),

PERSONAL ACCOMPLISHMENT

ANOVAa


1 Regression 74966,924 6 12494,487 78,608 ,000b

Residual 91552,963 576 158,946

Total 166519,887 582


b. Predictors: (Constant), CDSESF, EMOSI AROUSAL (-), VICARIOUS LEARNING, VERBAL

PERSUASION, EMOSI AROUSAL (+), PERSONAL ACCOMPLISHMENT

Coefficientsa

Model


Standardized

Coefficients

t Sig.

Correlations


1 (Constant) 5,000 4,985 1,003 ,316

VICARIOUS LEARNING -,578 ,285 -,070 -2,025 ,043 ,230 -,084 -,063


EMOSI AROUSAL (+) ,867 ,333 ,112 2,608 ,009 ,485 ,108 ,081

EMOSI AROUSAL (-) ,464 ,147 ,101 3,155 ,002 ,027 ,130 ,097

PERSONAL

ACCOMPLISHMENT,835 ,315 ,122 2,654 ,008 ,504 ,110 ,082

CDSESF ,399 ,044 ,371 9,171 ,000 ,579 ,357 ,283


coefficients a

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