SKILL VARIETY TASK IDENTITY

JOB CHARACTERSITIC

1. SKILL VARIETY

KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,720 Bartletts Test of Sphericity Approx. Chi-Square 77,660 Df 10 Sig. ,000 Anti-image Matrices Item1 Item3 Item5 Item12 Item18 Anti-image Covariance Item1 ,750 -,137 -,255 -,103 ,041 Item3 -,137 ,746 -,032 -,149 -,247 Item5 -,255 -,032 ,708 -,162 -,143 Item12 -,103 -,149 -,162 ,791 -,053 Item18 ,041 -,247 -,143 -,053 ,802 Anti-image Correlation Item1 ,702 a -,183 -,350 -,134 ,053 Item3 -,183 ,718 a -,044 -,194 -,320 Item5 -,350 -,044 ,709 a -,216 -,189 Item12 -,134 -,194 -,216 ,789 a -,067 Item18 ,053 -,320 -,189 -,067 ,690 a a. Measures of Sampling AdequacyMSA Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative dimension0 1 2,264 45,272 45,272 2,264 45,272 45,272 2 ,917 18,333 63,605 3 ,693 13,854 77,459 4 ,644 12,874 90,333 5 ,483 9,667 100,000 Extraction Method: Principal Component Analysis. Universitas Sumatera Utara Universitas Sumatera Utara Component Matrix a Component 1 Item1 ,668 Item3 ,694 Item5 ,728 Item12 ,671 Item18 ,596 Extraction Method: Principal Component Analysis. a. 1 components extracted.

2. TASK IDENTITY

KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,867 Bartletts Test of Sphericity Approx. Chi-Square 323,270 Df 21 Sig. ,000 Universitas Sumatera Utara Universitas Sumatera Utara Anti-image Matrices Item4 Item7 Item10 Item14 Item17 Item20 Item25 Anti-image Covariance Item4 ,396 -,070 -,141 -,044 ,071 -,108 -,128 Item7 -,070 ,461 -,166 -,085 ,008 ,028 -,004 Item10 -,141 -,166 ,351 -,063 -,051 -,030 ,015 Item14 -,044 -,085 -,063 ,412 -,183 -,117 -,045 Item17 ,071 ,008 -,051 -,183 ,635 -,026 -,150 Item20 -,108 ,028 -,030 -,117 -,026 ,601 -,085 Item25 -,128 -,004 ,015 -,045 -,150 -,085 ,629 Anti-image Correlation Item4 ,855 a -,164 -,378 -,109 ,141 -,222 -,257 Item7 -,164 ,870 a -,413 -,196 ,015 ,054 -,007 Item10 -,378 -,413 ,847 a -,167 -,107 -,066 ,032 Item14 -,109 -,196 -,167 ,878 a -,357 -,234 -,088 Item17 ,141 ,015 -,107 -,357 ,824 a -,042 -,238 Item20 -,222 ,054 -,066 -,234 -,042 ,909 a -,139 Item25 -,257 -,007 ,032 -,088 -,238 -,139 ,889 a a. Measures of Sampling AdequacyMSA Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative dimension0 1 4,022 57,463 57,463 4,022 57,463 57,463 2 ,847 12,102 69,565 3 ,665 9,495 79,060 4 ,554 7,908 86,968 5 ,341 4,878 91,846 6 ,322 4,606 96,453 7 ,248 3,547 100,000 Extraction Method: Principal Component Analysis. Universitas Sumatera Utara Universitas Sumatera Utara Component Matrix a Component 1 Item4 ,820 Item7 ,766 Item10 ,840 Item14 ,835 Item17 ,624 Item20 ,711 Item25 ,682 Extraction Method: Principal Component Analysis. a. 1 components extracted.

3. TASK SIGNIFICANT