ASPEK CHANGE SPECIFIC EFFICACY KMO and Bartletts Test

128 Component Matrix a Component 1 item18 .679 item25 .841 item30 .761 item35 .845 item37 .687 item38 .775 Extraction Method: Principal Component Analysis. a. 1 components extracted.

2. ASPEK CHANGE SPECIFIC EFFICACY KMO and Bartletts Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .707 Bartletts Test of Sphericity Approx. Chi-Square 243.192 df 45 Sig. .000 Anti-image Matrices item2 item4 item8 item10 item28 item29 item31 item34 item36 item40 Anti-image Covariance item2 .765 -.142 -.084 -.176 -.004 .000 .002 -.014 -.067 .033 item4 -.142 .707 .003 .035 .137 -4.589E-5 -.088 -.066 -.014 -.262 item8 -.084 .003 .675 -.027 -.052 -.068 -.044 .152 -.240 -.044 item10 -.176 .035 -.027 .734 -.097 -.065 .074 -.104 -.068 -.008 item28 -.004 .137 -.052 -.097 .715 -.066 .097 -.130 -.023 -.232 item29 .000 -4.589E-5 -.068 -.065 -.066 .776 -.273 .022 .093 -.050 item31 .002 -.088 -.044 .074 .097 -.273 .561 -.181 -.069 .028 item34 -.014 -.066 .152 -.104 -.130 .022 -.181 .459 -.193 .011 item36 -.067 -.014 -.240 -.068 -.023 .093 -.069 -.193 .428 -.045 item40 .033 -.262 -.044 -.008 -.232 -.050 .028 .011 -.045 .697 Universita Sumatera Utara 129 Anti-image Correlation item2 .827 a -.193 -.117 -.235 -.005 .001 .003 -.023 -.117 .046 item4 -.193 .693 a .004 .049 .193 -6.192E-5 -.140 -.116 -.025 -.373 item8 -.117 .004 .646 a -.039 -.075 -.094 -.071 .272 -.446 -.064 item10 -.235 .049 -.039 .812 a -.134 -.086 .116 -.179 -.121 -.011 item28 -.005 .193 -.075 -.134 .663 a -.089 .153 -.227 -.041 -.329 item29 .001 -6.192E-5 -.094 -.086 -.089 .569 a -.413 .037 .161 -.068 item31 .003 -.140 -.071 .116 .153 -.413 .682 a -.357 -.141 .045 item34 -.023 -.116 .272 -.179 -.227 .037 -.357 .701 a -.435 .019 item36 -.117 -.025 -.446 -.121 -.041 .161 -.141 -.435 .738 a -.083 item40 .046 -.373 -.064 -.011 -.329 -.068 .045 .019 -.083 .689 a a. Measures of Sampling AdequacyMSA Communalities Initial Extraction item2 1.000 .556 item4 1.000 .807 item8 1.000 .350 item10 1.000 .558 item28 1.000 .804 item29 1.000 .697 item31 1.000 .782 item34 1.000 .581 item36 1.000 .697 item40 1.000 .823 Extraction Method: Principal Component Analysis. Universita Sumatera Utara 130 Total Variance Explained Com pone nt Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative Total of Variance Cumulative 1 3.335 33.355 33.355 3.335 33.355 33.355 2.374 23.737 23.737 2 1.274 12.738 46.093 1.274 12.738 46.093 1.580 15.805 39.542 3 1.039 10.386 56.479 1.039 10.386 56.479 1.360 13.600 53.142 4 1.009 10.094 66.573 1.009 10.094 66.573 1.343 13.431 66.573 5 .906 9.065 75.638 6 .808 8.083 83.721 7 .571 5.708 89.429 8 .431 4.307 93.736 9 .360 3.599 97.335 10 .267 2.665 100.000 Extraction Method: Principal Component Analysis. Rotated Component Matrix a Component 1 2 3 4 item2 .711 -.054 .191 -.105 item4 .230 .159 .845 -.121 item8 .567 .064 .116 .104 item10 .646 .040 -.152 .340 item28 .223 .058 -.007 .867 item29 -.067 .820 .010 .146 item31 .309 .794 .192 -.137 item34 .571 .439 .140 .208 item36 .770 .213 .178 .163 item40 .085 .047 .696 .574 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 7 iterations. Universita Sumatera Utara 131 KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .656 Bartletts Test of Sphericity Approx. Chi-Square 117.563 df 10 Sig. .000 Anti-image Matrices item2 item8 item10 item34 item36 Anti-image Covariance item2 .797 -.093 -.179 -.040 -.078 item8 -.093 .703 -.040 .152 -.264 item10 -.179 -.040 .774 -.123 -.064 item34 -.040 .152 -.123 .575 -.283 item36 -.078 -.264 -.064 -.283 .447 Anti-image Correlation item2 .827 a -.124 -.228 -.059 -.131 item8 -.124 .569 a -.054 .239 -.472 item10 -.228 -.054 .821 a -.184 -.109 item34 -.059 .239 -.184 .599 a -.558 item36 -.131 -.472 -.109 -.558 .614 a a. Measures of Sampling AdequacyMSA Communalities Initial Extraction item2 1.000 .409 item8 1.000 .351 item10 1.000 .439 item34 1.000 .513 item36 1.000 .722 Extraction Method: Principal Component Analysis. Universita Sumatera Utara 132 Total Variance Explained Compo nent Initial Eigenvalues Extraction Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative 1 2.434 48.683 48.683 2.434 48.683 48.683 2 .884 17.689 66.372 3 .775 15.491 81.863 4 .621 12.430 94.293 5 .285 5.707 100.000 Extraction Method: Principal Component Analysis. Component Matrix a Component 1 item2 .639 item8 .593 item10 .662 item34 .716 item36 .850 Extraction Method: Principal Component Analysis. a. 1 components extracted.

3. ASPEK MANAGEMENT SUPPORT KMO and Bartletts Test