TASK SIGNIFICANT AUTONOMY Hubungan Antara Job Characteristic Dengan Work Family Conflict Pada Karyawan Sektor Perbankan

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

KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,645 Bartletts Test of Sphericity Approx. Chi-Square 71,807 Df 6 Sig. ,000 Anti-image Matrices Item2 Item8 Item9 Item23 Anti-image Covariance Item2 ,755 -,052 -,232 -,191 Item8 -,052 ,650 -,189 -,307 Item9 -,232 -,189 ,801 ,058 Item23 -,191 -,307 ,058 ,665 Anti-image Correlation Item2 ,703 a -,074 -,299 -,270 Item8 -,074 ,638 a -,262 -,466 Item9 -,299 -,262 ,641 a ,079 Item23 -,270 -,466 ,079 ,610 a a. Measures of Sampling AdequacyMSA Universitas Sumatera Utara Universitas Sumatera Utara Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Total of Variance Cumulative Total of Variance Cumulative dimension0 1 2,086 52,152 52,152 2,086 52,152 52,152 2 ,852 21,299 73,451 3 ,649 16,222 89,673 4 ,413 10,327 100,000 Extraction Method: Principal Component Analysis. Component Matrix a Component 1 Item2 ,720 Item8 ,787 Item9 ,626 Item23 ,747 Extraction Method: Principal Component Analysis. a. 1 components extracted.

4. AUTONOMY

KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,703 Bartletts Test of Sphericity Approx. Chi-Square 105,856 Df 10 Sig. ,000 Universitas Sumatera Utara Universitas Sumatera Utara Anti-image Matrices Item16 Item27 Item28 Item30 Item33 Anti-image Covariance Item16 ,887 -,059 -,213 ,073 -,078 Item27 -,059 ,675 -,130 -,088 -,205 Item28 -,213 -,130 ,767 -,171 ,030 Item30 ,073 -,088 -,171 ,580 -,271 Item33 -,078 -,205 ,030 -,271 ,560 Anti-image Correlation Item16 ,644 a -,076 -,258 ,101 -,111 Item27 -,076 ,784 a -,180 -,141 -,333 Item28 -,258 -,180 ,713 a -,256 ,045 Item30 ,101 -,141 -,256 ,683 a -,476 Item33 -,111 -,333 ,045 -,476 ,672 a a. Measures of Sampling AdequacyMSA Total Variance Explained Compone nt Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Total of Varianc e Cumulativ e Total of Varianc e Cumulativ e Total of Varianc e Cumulativ e dimension0 1 2,38 3 47,667 47,667 2,38 3 47,667 47,667 2,09 5 41,899 41,899 2 1,00 7 20,150 67,817 1,00 7 20,150 67,817 1,29 6 25,918 67,817 3 ,688 13,764 81,581 4 ,560 11,209 92,789 5 ,361 7,211 100,000 Extraction Method: Principal Component Analysis. Universitas Sumatera Utara Universitas Sumatera Utara Rotated Component Matrix a Component 1 2 Item16 -,009 ,905 Item27 ,726 ,244 Item28 ,389 ,634 Item30 ,843 ,069 Item33 ,840 ,102 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 3 iterations.

5. FEEDBACK