UJI LINIERITAS HASIL UJI HIPOTESIS TIME BASED CONFLICT

2. UJI LINIERITAS

ANOVA Table Sum of Squares df Mean Square F Sig. WorkFamilyConflict JobCharacteristic Between Groups Combined 2039,541 31 65,792 1,404 ,086 Linearity 805,045 1 805,045 17,176 ,000 Deviation from Linearity 1234,496 30 41,150 ,878 ,653 Within Groups 10264,515 219 46,870 Total 12304,056 250

3. HASIL UJI HIPOTESIS

HIPOTESIS UTAMA Correlations WorkFamilyCon flict JobCharacteristi c WorkFamilyConflict Pearson Correlation 1 ,256 Sig. 2-tailed ,000 N 251 251 JobCharacteristic Pearson Correlation ,256 1 Sig. 2-tailed ,000 N 251 251 . Correlation is significant at the 0.01 level 2-tailed. Universitas Sumatera Utara Universitas Sumatera Utara HIPOTESIS TAMBAHAN Correlations totalSV totalTI totalTS totalA totalF totalwfc totalSV Pearson Correlation 1 ,445 ,077 ,231 ,158 ,122 Sig. 2-tailed ,000 ,223 ,000 ,012 ,054 N 251 251 251 251 251 251 totalTI Pearson Correlation ,445 1 -,111 ,388 ,196 ,112 Sig. 2-tailed ,000 ,080 ,000 ,002 ,077 N 251 251 251 251 251 251 totalTS Pearson Correlation ,077 -,111 1 ,261 ,262 ,285 Sig. 2-tailed ,223 ,080 ,000 ,000 ,000 N 251 251 251 251 251 251 totalA Pearson Correlation ,231 ,388 ,261 1 ,322 ,208 Sig. 2-tailed ,000 ,000 ,000 ,000 ,001 N 251 251 251 251 251 251 totalF Pearson Correlation ,158 ,196 ,262 ,322 1 ,104 Sig. 2-tailed ,012 ,002 ,000 ,000 ,102 N 251 251 251 251 251 251 totalwfc Pearson Correlation ,122 ,112 ,285 ,208 ,104 1 Sig. 2-tailed ,054 ,077 ,000 ,001 ,102 N 251 251 251 251 251 251 . Correlation is significant at the 0.01 level 2-tailed. . Correlation is significant at the 0.05 level 2-tailed. Universitas Sumatera Utara Universitas Sumatera Utara LAMPIRAN C ANALISIS FAKTOR Universitas Sumatera Utara Universitas Sumatera Utara WORK FAMILY CONFLICT

1. TIME BASED CONFLICT

KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,688 Bartletts Test of Sphericity Approx. Chi-Square 116,548 Df 15 Sig. ,000 Anti-image Matrices Item1 Item15 Item23 Item25 Item28 Item30 Anti-image Covariance Item1 ,811 ,052 ,071 -,258 -,008 -,129 Item15 ,052 ,833 ,014 -,195 -,142 -,023 Item23 ,071 ,014 ,683 -,188 -,038 -,247 Item25 -,258 -,195 -,188 ,667 -,095 ,049 Item28 -,008 -,142 -,038 -,095 ,655 -,250 Item30 -,129 -,023 -,247 ,049 -,250 ,592 Anti-image Correlation Item1 ,628 a ,063 ,095 -,351 -,010 -,186 Item15 ,063 ,730 a ,018 -,261 -,192 -,033 Item23 ,095 ,018 ,697 a -,278 -,058 -,389 Item25 -,351 -,261 -,278 ,664 a -,144 ,078 Item28 -,010 -,192 -,058 -,144 ,745 a -,402 Item30 -,186 -,033 -,389 ,078 -,402 ,663 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 2,530 42,163 42,163 2,530 42,163 42,163 2 ,981 16,358 58,521 3 ,912 15,205 73,726 4 ,694 11,573 85,300 5 ,514 8,562 93,861 6 ,368 6,139 100,000 Extraction Method: Principal Component Analysis. Universitas Sumatera Utara Universitas Sumatera Utara 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