STRAIN BASED CONFLICT Saran

Component Matrix a Component 1 Item1 ,493 Item15 ,514 Item23 ,679 Item25 ,691 Item28 ,732 Item30 ,740 Extraction Method: Principal Component Analysis. a. 1 components extracted.

2. STRAIN BASED CONFLICT

KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,774 Bartletts Test of Sphericity Approx. Chi-Square 196,666 Df 28 Sig. ,000 Universitas Sumatera Utara Universitas Sumatera Utara Anti-image Matrices Item7 Item9 Item10 Item12 Item19 Item20 Item22 Item26 Anti-image Covariance Item7 ,642 -,026 -,154 -,172 -,064 -,004 -,042 -,078 Item9 -,026 ,576 -,195 -,123 ,058 -,210 -,147 ,060 Item10 -,154 -,195 ,596 ,120 -,104 -,123 -,046 -,078 Item12 -,172 -,123 ,120 ,559 -,176 ,073 -,041 -,228 Item19 -,064 ,058 -,104 -,176 ,731 -,040 -,077 -,058 Item20 -,004 -,210 -,123 ,073 -,040 ,705 -,019 -,082 Item22 -,042 -,147 -,046 -,041 -,077 -,019 ,797 -,034 Item26 -,078 ,060 -,078 -,228 -,058 -,082 -,034 ,665 Anti-image Correlation Item7 ,841 a -,043 -,249 -,287 -,093 -,007 -,058 -,119 Item9 -,043 ,733 a -,333 -,217 ,090 -,330 -,216 ,097 Item10 -,249 -,333 ,749 a ,208 -,157 -,190 -,067 -,124 Item12 -,287 -,217 ,208 ,679 a -,276 ,117 -,062 -,375 Item19 -,093 ,090 -,157 -,276 ,827 a -,056 -,101 -,083 Item20 -,007 -,330 -,190 ,117 -,056 ,776 a -,025 -,120 Item22 -,058 -,216 -,067 -,062 -,101 -,025 ,886 a -,047 Item26 -,119 ,097 -,124 -,375 -,083 -,120 -,047 ,790 a a. Measures of Sampling AdequacyMSA Total Variance Explained Compon ent Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative Total of Variance Cumulative dimension0 1 3,204 40,055 40,055 3,204 40,055 40,055 2,312 28,906 28,906 2 1,324 16,547 56,601 1,324 16,547 56,601 2,216 27,696 56,601 3 ,777 9,718 66,319 4 ,676 8,452 74,771 5 ,644 8,049 82,821 6 ,564 7,046 89,867 7 ,487 6,091 95,958 8 ,323 4,042 100,000 Extraction Method: Principal Component Analysis. Universitas Sumatera Utara Universitas Sumatera Utara Rotated Component Matrix a Component 1 2 Item7 ,653 ,332 Item9 ,175 ,797 Item10 ,202 ,763 Item12 ,841 ,048 Item19 ,678 ,157 Item20 ,022 ,777 Item22 ,325 ,485 Item26 ,736 ,144 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 3 iterations. 3. KMO and Bartletts Test BEHAVIOR BASED CONFLICT Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,694 Bartletts Test of Sphericity Approx. Chi-Square 196,373 Df 21 Sig. ,000 Universitas Sumatera Utara Universitas Sumatera Utara Anti-image Matrices Item4 Item6 Item14 Item16 Item18 Item21 Item24 Anti-image Covariance Item4 ,586 -,074 -,139 -,043 ,028 -,240 -,185 Item6 -,074 ,683 -,233 ,053 -,146 ,000 -,065 Item14 -,139 -,233 ,639 -,085 ,077 -,072 -,076 Item16 -,043 ,053 -,085 ,427 -,301 -,022 -,068 Item18 ,028 -,146 ,077 -,301 ,429 -,059 ,052 Item21 -,240 ,000 -,072 -,022 -,059 ,721 ,036 Item24 -,185 -,065 -,076 -,068 ,052 ,036 ,796 Anti-image Correlation Item4 ,753 a -,116 -,227 -,086 ,055 -,369 -,271 Item6 -,116 ,746 a -,352 ,098 -,270 ,001 -,088 Item14 -,227 -,352 ,754 a -,162 ,147 -,106 -,106 Item16 -,086 ,098 -,162 ,620 a -,703 -,040 -,117 Item18 ,055 -,270 ,147 -,703 ,563 a -,106 ,089 Item21 -,369 ,001 -,106 -,040 -,106 ,785 a ,047 Item24 -,271 -,088 -,106 -,117 ,089 ,047 ,782 a a. Measures of Sampling AdequacyMSA Total Variance Explained Comp onent 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 2,923 41,759 41,759 2,923 41,759 41,759 2,353 33,610 33,610 2 1,285 18,357 60,116 1,285 18,357 60,116 1,855 26,506 60,116 3 ,827 11,820 71,936 4 ,773 11,042 82,978 5 ,520 7,430 90,408 6 ,434 6,194 96,602 7 ,238 3,398 100,000 Extraction Method: Principal Component Analysis. Universitas Sumatera Utara Universitas Sumatera Utara Rotated Component Matrix a Component 1 2 Item4 ,801 ,125 Item6 ,581 ,320 Item14 ,757 ,118 Item16 ,211 ,878 Item18 ,081 ,934 Item21 ,564 ,282 Item24 ,656 -,023 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 3 iterations. Universitas Sumatera Utara Universitas Sumatera Utara JOB CHARACTERSITIC

1. SKILL VARIETY