pra skripsi acc - Copy.docx

# Listwise deletion based on all variables in the

• 123

This preview shows pages 113–122. Sign up to view the full content.

a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items ,763 6 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item- Total Correlation Cronbach's Alpha if Item Deleted X1.1 34,79 12,533 ,571 ,730 X1.2 34,76 12,690 ,583 ,731 X1.3 34,72 12,203 ,624 ,719 X1.4 34,78 12,879 ,492 ,743 X1.5 34,82 12,657 ,549 ,734 SK 19,32 3,826 1,000 ,680

This preview has intentionally blurred sections. Sign up to view the full version.

97 Reliability Scale: ALL VARIABLES Case Processing Summary N % Cases Valid 72 100,0 Excluded a 0 ,0 Total 72 100,0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items ,789 5 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item- Total Correlation Cronbach's Alpha if Item Deleted X2.1 26,79 11,125 ,532 ,774 X2.2 26,86 10,206 ,769 ,726 X2.3 26,90 10,906 ,606 ,761 X2.4 26,78 10,288 ,609 ,749 K 15,33 3,408 1,000 ,698
98 Reliability Scale: ALL VARIABLES Case Processing Summary N % Cases Valid 72 100,0 Excluded a 0 ,0 Total 72 100,0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items ,711 6 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item- Total Correlation Cronbach's Alpha if Item Deleted Y1.1 27,93 10,657 ,258 ,717 Y1.2 28,28 10,710 ,292 ,712 Y1.3 28,18 10,094 ,506 ,678 Y1.4 28,03 9,436 ,489 ,666 Y1.5 27,96 8,604 ,571 ,637 MK 15,60 2,976 1,000 ,461

This preview has intentionally blurred sections. Sign up to view the full version.

99 Reliability Scale: ALL VARIABLES Case Processing Summary N % Cases Valid 72 100,0 Excluded a 0 ,0 Total 72 100,0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items ,787 6 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item- Total Correlation Cronbach's Alpha if Item Deleted Y2.1 34,88 15,491 ,657 ,752 Y2.2 34,89 15,875 ,619 ,761 Y2.3 34,90 15,920 ,597 ,763 Y2.4 34,81 14,948 ,753 ,736 Y2.5 34,90 15,469 ,640 ,753 KP 19,38 4,745 1,000 ,779
100 Regression Variables Entered/Removed a Model Variables Entered Variables Removed Method 1 K, SK b . Enter a. Dependent Variable: MK b. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate 1 ,804 a ,646 ,635 1,042 a. Predictors: (Constant), K, SK b. Dependent Variable: MK ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 136,431 2 68,215 62,851 ,000 b Residual 74,889 69 1,085 Total 211,319 71 a. Dependent Variable: MK b. Predictors: (Constant), K, SK Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 (Constant) 1,987 1,236 1,608 ,112 SK ,453 ,098 ,513 4,605 ,000 ,414 2,418 K ,317 ,104 ,340 3,048 ,003 ,414 2,418 a. Dependent Variable: MK

This preview has intentionally blurred sections. Sign up to view the full version.

101 Charts
102

This preview has intentionally blurred sections. Sign up to view the full version.

103
104 Regression Variables Entered/Removed a Model Variables Entered Variables Removed Method 1 MK, K, SK b . Enter a. Dependent Variable: KP b. All requested variables entered. Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate 1 ,867 a ,751 ,740 1,111 a. Predictors: (Constant), MK, K, SK b. Dependent Variable: KP ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 252,967 3 84,322 68,336 ,000 b Residual 83,908 68 1,234 Total 336,875 71 a. Dependent Variable: KP b. Predictors: (Constant), MK, K, SK Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig.

This preview has intentionally blurred sections. Sign up to view the full version.

This is the end of the preview. Sign up to access the rest of the document.
• Fall '15

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern