⓰ၬᷤ§§Ć§§ §
Ū凐凐 §Ş⓰꼸꼸§滴ᷤ⓰깄§Ş滴谰§§憌ᷤ峄⓰§滴ᷤ⓰凐§Ë§
滴凐ᷤ⓰凐§⓰⓰횰§谰⓰깄§滴凐ᷤ§§
§
宼⓰ ꑐ깄§宼 ⓰꼸凐§ ⓰峄깄⓰꼸§꼸峄凐凐ၬ§䕴滴§§nĀĆƧ
ꨤ⓰ ꑐ깄ཀ꼸ꑐŘ깄ၬ횰ö⓰䥈ö§ §
§
깄꼸⓰§§횰ᷤ횰⓰ ⓰꼸§횰⓰꼸⓰⓰ §凐꼸ᷤ깄§⓰⓰꼸꼸§峄ᷤ峄⓰§꼸ᷤ깄⓰ §횰凐ᷤ§횰ᷤ횰峄§깄⓰§ ᷤ꼸§⓰⓰ᷤî§ꑐ⓰깄§⓰⓰ᷤ§횰ᷤ⓰凐§⓰§⓰⓰ᷤ§횰凐ᷤ⓰凐ö§憌⓰§§ꑐ⓰ၬ§峄⓰§ ⓰ ⓰꼸§⓰⓰⓰ §횰凐ᷤ§⓰⓰꼸꼸§⓰깄§⓰⓰§횰ᷤၬၬ깄⓰峄⓰§⓰⓰ᷤ§⓰ᷤö§⓰§꼸ᷤ횰깄⓰§ 峄凐꼸깄峄§ꑐ⓰ၬ§⓰峄⓰§⓰⓰⓰ §峄凐꼸깄峄§ᷤ횰峄§ꑐ⓰ၬ§⓰⓰峄⓰§⓰§꼸峄凐§凐⓰§ ⓰⓰깄§ᷤ⓰⓰§⓰⓰§깄峄깄ö§
§
Şö§§§Űᷤ꼸⓰§ᷤᷤ⓰§
ᷤ⓰§§ᷤ깄깄⓰§깄깄峄§횰ᷤၬ깄§ᷤ⓰⓰§峄깄⓰⓰꼸§ᷤ⓰ꑐ⓰⓰§×ݧᷤ ⓰⓰§ 凐ꑐ⓰⓰꼸§ᷤ⓰ၬၬ⓰§×㲠Ýö§깄깄ၬ⓰§峄ᷤ깄⓰ꑐ⓰§횰ᷤ⓰凐§凐ᷤ §峄ᷤ깄⓰꼸⓰§ᷤ⓰ၬၬ⓰§ ×滴凐Ýö§Şꑐ⓰§ᷤ⓰ꑐ⓰⓰§횰ᷤၬ峄⓰峄⓰§峄ᷤ깄⓰꼸⓰§ᷤ⓰ၬၬ⓰§ᷤᷤ §⓰ 깄깄§⓰깄§ 峄ᷤ횰깄⓰§횰ᷤၬ峄⓰峄⓰§凐ꑐ⓰⓰꼸ꑐ⓰ö§§
§
ۧ꼸꼸§⓰î§ᷤ횰⓰§깄ၬ⓰§ᷤᷤ⓰§⓰⓰횰§ 깄깄ၬ⓰§峄ᷤၬ⓰§⓰⓰ᷤ§ᷤ꼸ᷤ깄ö§Ŷ횰⓰§ 횰ᷤᷤ깄峄⓰§⓰⓰峄⓰ §ᷤ⓰ꑐ⓰⓰§횰ᷤၬ峄⓰峄⓰§峄ᷤ깄⓰꼸⓰§⓰⓰깄峄⓰ §⓰峄ö§Ş꼸깄횰꼸ꑐ⓰§ ⓰ꑐ⓰§ᷤၬ⓰§ᷤ횰⓰î§ᷤ⓰ꑐ⓰⓰§ꑐ⓰ၬ§ᷤ峄깄⓰⓰꼸§⓰峄⓰§횰ᷤၬ峄⓰峄⓰§峄ᷤ깄⓰꼸⓰§ ᷤ⓰ၬၬ⓰ö§Ŷ횰⓰§깄ၬ⓰§횰ᷤ⓰§횰凐ᷤ⓰凐§ᷤ⓰⓰§峄ᷤ깄⓰꼸⓰§ᷤ ⓰⓰§凐ꑐ⓰⓰꼸ö§ 憌凐꼸깄횰ᷤ§깄⓰꼸î§⓰§峄⓰⓰깄§⓰峄§⓰ᷤၬ§ᷤၬ⓰§ᷤ횰⓰§ᷤ ⓰⓰§ᷤ⓰ၬၬ⓰§ 횰ᷤᷤ峄⓰§⓰峄§⓰峄⓰§凐ꑐ⓰ö§⓰ၬ§⓰꼸§⓰峄§⓰峄⓰§峄ᷤ횰⓰§峄ᷤ§凐峄凐§峄⓰§峄⓰⓰깄§ᷤ⓰ၬ⓰§ 凐峄凐§⓰峄§⓰횰⓰ ö§滴ᷤ꼸峄깄§⓰§깄⓰꼸§ᷤၬ⓰§ ⓰ၬ⓰§⓰§ᷤ⓰ꑐ⓰⓰î§꼸⓰§⓰§⓰§ ᷤ⓰ §峄ᷤ§凐峄凐§⓰ꑐ⓰ö§
§
⓰î§꼸ᷤᷤၬ峄⓰ꑐ⓰§⓰⓰ᷤ§峄⓰§⓰⓰⓰ §꼸ᷤ⓰ၬ⓰§ᷤ峄깄§ ⓰⓰ᷤ§Űᷤᷤᷤ§§ 姧凐ꑐ⓰⓰꼸§
⓰⓰ᷤ§䳤ᷤᷤᷤ§ 姧憌깄⓰⓰꼸§ᷤ⓰ꑐ⓰⓰§ ⓰⓰ᷤ§滴ᷤ⓰凐§ 姧憌ᷤ깄⓰꼸⓰§
⓰⓰ᷤ§滴凐ᷤ⓰凐§ 姧Ŷ횰⓰§§ §
Ťö§§䕴⓰횰⓰§滴凐ᷤ§
憌凐꼸ᷤ§§ᷤ ᷤ峄꼸峄⓰§⓰⓰§ၬ⓰횰⓰§§⓰⓰꼸ö§⓰⓰ §⓰§ᷤ횰⓰§峄ᷤ§⓰⓰ §⓰⓰ § 깄깄ၬ⓰§ᷤ⓰ꑐ⓰⓰ð峄ᷤ깄⓰꼸⓰§꼸ᷤ⓰§峄ᷤ깄⓰꼸⓰ð凐ꑐ⓰⓰꼸§횰ᷤ깄깄峄峄⓰§⓰ ꨤ⓰§ᷤ횰⓰§ 횰ᷤ⓰§횰凐ᷤ⓰凐§ 깄깄ၬ⓰§ᷤ꼸ᷤ깄ö§
§
§ Ŷ횰⓰§
ᷤ⓰ꑐ⓰⓰§ 憌ᷤ깄⓰꼸⓰§
§
⓰ၬᷤ§§n§§
Ūö§§滴ᷤၬ⓰峄⓰꼸峄⓰§䕴⓰횰⓰§§Ş滴谰§
⓰⓰ᷤ§횰凐ᷤ⓰凐§꼸ᷤ䥈⓰⓰§꼸⓰꼸峄§ꨤ깄깄峄⓰§⓰⓰횰§ᷤ깄峄§⓰⓰ᷤ§ꑐ⓰ၬ§ 횰ᷤ깄⓰峄⓰§ᷤ峄⓰⓰§⓰⓰⓰§ᷤ峄凐§⓰§횰凐ᷤ⓰凐ꑐ⓰ö§滴꼸⓰ꑐ⓰§ᷤ⓰⓰§ ᷤ⓰ꑐ⓰⓰§ꑐ⓰ၬ§횰凐ᷤ⓰凐§凐ᷤ §ᷤ횰⓰î§횰⓰峄⓰§峄⓰§횰ᷤ횰깄⓰§⓰⓰ᷤ§⓰깄§ꑐ⓰ၬ§ 횰ᷤ깄⓰峄⓰§ᷤ峄⓰⓰§峄ᷤ깄⓰§⓰⓰ᷤ§ᷤ꼸ᷤ깄§×ᷤ⓰䥈 ᷤî§깄䥈峄ᷤî§Ë§⓰ꑐᷤ꼸î§nĀĀĨÝö§ §
Ű⓰⓰횰§䥈凐凐 §§ᷤ峄⓰⓰§⓰⓰⓰§ᷤ⓰ꑐ⓰⓰§⓰§ᷤ횰⓰§꼸⓰ꑐ⓰§⓰횰⓰峄⓰§Ŷ滴ཀŶî§ 꼸ᷤ⓰ၬ峄⓰§ᷤ峄⓰⓰§⓰⓰⓰§峄ᷤ깄⓰꼸⓰§⓰§ᷤ횰⓰§꼸⓰ꑐ⓰§⓰횰⓰峄⓰§Ŷ滴ཀŞ谰ö§ᷤ깄ꑐ⓰§ 峄⓰§꼸⓰峄⓰§⓰⓰ᷤ§§§谰谰谰§꼸ᷤᷤ깄횰§§⓰ꨤ⓰§峄ᷤ§Ş滴谰ö§Ť⓰ၬ⓰횰⓰⓰§䥈⓰⓰§ 횰ᷤၬၬ⓰횰⓰§⓰§횰ᷤ횰⓰ §⓰⓰ᷤ§꼸⓰§ ⓰§§宼 ⓰꼸凐§×宼 ⓰꼸凐î§nĀĆĆ⓰Ýö§§ §
䕴⓰횰⓰§ ⓰꼸§⓰⓰꼸꼸§§凐ၬ⓰횰§Ş滴谰§⓰⓰§ ⓰§⓰⓰§ၬ⓰횰⓰§§⓰ꨤ⓰ §ö§ §
§ §
Űö§§滴ᷤ횰⓰䥈⓰§깄깄§
Ćö§§Ŷ꼸횰⓰꼸§⓰⓰횰ᷤᷤ§Ťᷤ峄깄§§ ⓰꼸§⓰⓰꼸꼸§횰ᷤ⓰깄§凐ၬ⓰횰§Ş滴谰ö§Ş⓰§깄⓰§⓰ၬ⓰§ꑐ⓰ၬ§峄⓰§⓰ ⓰꼸§ꑐ⓰깄§ ⓰§ᷤ꼸횰⓰꼸§⓰§⓰⓰횰ᷤᷤ§⓰§⓰§峄ᷤᷤ⓰⓰§횰凐ᷤö§§
§
凐ᷤ꼸꼸§Ćö§凐ꑐ⓰⓰꼸§횰ᷤ⓰§횰凐ᷤ⓰凐§ᷤ⓰⓰§ၬ峄⓰§ᷤ⓰ꑐ⓰⓰§ᷤ ⓰⓰§ 峄ᷤ깄⓰꼸⓰§ᷤ⓰ၬၬ⓰ö§憌凐깄꼸§凐ꑐ⓰⓰꼸§⓰⓰횰§횰ᷤၬ峄⓰峄⓰§峄ᷤ깄⓰꼸⓰§ ᷤ⓰ၬၬ⓰§⓰峄⓰§ᷤ꼸⓰§峄⓰§ᷤ⓰ꑐ⓰⓰§ᷤ꼸ᷤ깄§⓰ᷤၬ§ᷤၬ⓰§ᷤ횰⓰ö§
§ ⓰꼸§⓰⓰꼸꼸§횰ᷤ깄깄峄峄⓰§⓰§ᷤ꼸횰⓰꼸§ꑐ⓰ၬ§꼸ၬ 峄⓰§×©ðĀönĖ§ŃĀöĀĜÝö§ Űᷤၬ⓰§ᷤ횰峄⓰§ 凐ᷤ꼸꼸§Ć§ᷤ깄峄ö§
Regression Weights
Estimate S.E. C.R. P Label Kepuasan <--- Empati 2.390 .497 4.812 ***
Kepuasan <--- Pelayanan .427 .070 6.074 *** Kepuasan <--- Emp_Pel -.024 .011 -2.136 .033 Loyalitas <--- Kepuasan .229 .028 8.304 *** Loyalitas <--- Emp_Puas -.007 .004 -2.025 .043 Loyalitas <--- Empati .497 .103 4.842 *** Loyalitas <--- Pelayanan .077 .007 11.835 ***
⓰ၬᷤ§§Đ§§ §
§
凐ᷤ꼸꼸§nö§凐ꑐ⓰⓰꼸§횰ᷤ⓰§횰凐ᷤ⓰凐§ᷤ⓰⓰§峄ᷤ깄⓰꼸⓰§ᷤ⓰ၬၬ⓰§ᷤ ⓰⓰§ 凐ꑐ⓰⓰꼸ꑐ⓰ö§§
⓰꼸§⓰⓰꼸꼸§횰ᷤ깄깄峄峄⓰§⓰§ᷤ꼸횰⓰꼸§ꑐ⓰ၬ§꼸ၬ 峄⓰§×©ðĀöĀĀĨÝö§Űᷤၬ⓰§ ᷤ횰峄⓰§ 凐ᷤ꼸꼸§n§ᷤ깄峄ö§
§
Ū⓰⓰⓰§§ĺ§憌⓰ᷤ⓰§峄凐ᷤ 꼸ᷤ§§깄峄⓰§횰ᷤ깄⓰峄⓰§峄凐ᷤ 꼸ᷤ§ꑐ⓰ၬ§ᷤ꼸⓰⓰꼸⓰꼸î§횰⓰峄⓰§ ⓰ၬ⓰§횰ᷤ ⓰§ᷤ꼸⓰§峄ᷤ䥈ꑐ⓰§⓰§ᷤ꼸횰⓰꼸ö§⓰§ᷤ꼸횰⓰꼸§ၬၬ§⓰§峄⓰⓰깄§꼸⓰⓰§ ᷤ凐§ꑐ⓰§ၬၬ§ꑐ⓰§꼸⓰횰⓰§⓰⓰î§⓰峄§꼸ၬ 峄⓰ö§§
§
⓰§Ūö§§⓰⓰꼸§횰ᷤ깄깄峄峄⓰§⓰§䥈䥈⓰§⓰凐§ꑐ⓰ၬ§⓰⓰峄⓰§⓰§⓰§ᷤ꼸횰⓰꼸§ ꑐ⓰ၬ§⓰ၬ§凐ᷤ §꼸⓰⓰§ᷤ凐ꑐ⓰§×谰öŶÝö§§谰ᷤ횰⓰峄§ၬၬ§⓰§Ūö§꼸ᷤ횰⓰峄§꼸ၬ 峄⓰ö§ 憌⓰⓰깄§깄峄깄⓰§꼸⓰횰ᷤ§峄⓰§ᷤ꼸⓰î§횰⓰峄⓰§⓰꼸⓰ꑐ⓰§⓰§Ūö§§⓰⓰꼸§ĆöĴĢ§⓰峄⓰§
횰ᷤၬ ⓰꼸峄⓰§⓰§ᷤ꼸횰⓰꼸§ꑐ⓰ၬ§꼸ၬ 峄⓰§⓰⓰§⓰⓰ §ĜÅî§꼸ᷤ⓰ၬ峄⓰§峄⓰§§⓰⓰꼸§ nöĜĢ§⓰峄⓰§꼸ၬ 峄⓰§⓰⓰§⓰⓰ §ĆÅö§⓰§峄⓰§⓰峄§깄꼸⓰ §ၬ깄ၬ滴谰§횰ᷤ횰⓰깄§ 峄⓰§횰ᷤ⓰깄§⓰§§ꑐ⓰ၬ§횰ᷤ깄깄峄峄⓰§꼸ၬ 峄⓰§⓰峄ꑐ⓰ö§
§
ۧ⓰ꨤ⓰ §§⓰§ᷤ꼸횰⓰꼸§ꑐ⓰ၬ§ᷤ꼸⓰⓰꼸⓰꼸ö§憌⓰⓰깄§ꑐ⓰ၬ§깄꼸⓰⓰ᷤ§
꼸횰凐峄⓰§ᷤၬ⓰§×ݧ횰⓰峄⓰§⓰§§꼸횰凐峄⓰§ᷤၬ⓰§×βÝö§⓰ §峄⓰⓰깄§§峄⓰§꼸⓰§ 횰ᷤ횰⓰ၬ峄⓰§ᷤ꼸⓰ꑐ⓰§⓰峄ꑐ⓰ö§§
§
Standardized Regression Weights
Estimate Kepuasan <--- Empati .494 Kepuasan <--- Pelayanan .754 Kepuasan <--- Emp_Pel -.377 Loyalitas <--- Kepuasan .639 Loyalitas <--- Emp_Puas -.209 Loyalitas <--- Empati .287 Loyalitas <--- Pelayanan .381
§
§
凐ᷤ꼸꼸§Đö§憌ᷤ깄⓰꼸⓰§횰ᷤ⓰§횰ᷤ⓰凐§ᷤ⓰⓰§ᷤ⓰ꑐ⓰⓰§⓰⓰횰§횰ᷤၬ峄⓰峄⓰§ 凐ꑐ⓰⓰꼸§ᷤ⓰ၬၬ⓰ö§ᷤ⓰ꑐ⓰⓰§횰ᷤၬ峄⓰峄⓰§峄ᷤ깄⓰꼸⓰§ᷤ⓰ၬၬ⓰§ᷤᷤ § ⓰ 깄깄§ꑐ⓰ၬ§꼸ᷤ⓰깄ꑐ⓰§峄ᷤ깄⓰꼸⓰§ᷤ꼸ᷤ깄§횰ᷤၬ峄⓰峄⓰§凐ꑐ⓰⓰꼸ö§
§ §
ᷤ⓰⓰§峄ᷤ깄⓰꼸⓰§꼸ᷤ⓰ၬ⓰§횰ᷤ⓰凐§⓰⓰§ ⓰§⓰⓰§⓰ၬ⓰§ᷤ⓰⓰§⓰峄§ ⓰ၬ꼸깄ၬ§×ᷤ䥈§ᷤ ᷤ䥈Ýö§Ū⓰⓰§⓰䥈⓰ꑐ⓰§⓰⓰⓰ §峄凐凐횰§횰ᷤ횰ᷤ峄꼸§⓰꼸§×峄凐凐횰§à§
⓰꼸Ýö§Űᷤၬ⓰§꼸§§峄⓰§횰ᷤ⓰⓰峄⓰§ᷤ⓰⓰§⓰峄§⓰ၬ꼸깄ၬ§ᷤ⓰ꑐ⓰⓰§ ᷤ ⓰⓰§凐ꑐ⓰⓰꼸§⓰⓰⓰ §©ĀöĀĴĮ§⓰⓰깄§β©ĀöĖnö§§
§
Indirect Effects
Pelayanan Emp_Pel Emp_Puas Empati Kepuasan Kepuasan .000 .000 .000 .000 .000 Loyalitas .098 -.005 .000 .547 .000
Standardized Indirect Effects
⓰ၬᷤ§§Ė§§ 횰ᷤၬᷤ깄⓰峄⓰§꼸ၬ 峄⓰§⓰峄ꑐ⓰ö§Ş⓰§⓰⓰§횰ᷤၬၬ깄⓰峄⓰§凐ၬ⓰횰§⓰깄§ꑐ⓰ၬ§ ⓰⓰§ ⓰§§宼 ⓰꼸凐§×nĀĆĆÝö§
§
Ű⓰§⓰ᷤ§§⓰ꨤ⓰§⓰ꨤ⓰§⓰§峄⓰§횰ᷤ ⓰§⓰ ꨤ⓰§ᷤ⓰⓰§⓰ၬ꼸깄ၬ§ᷤ⓰ꑐ⓰⓰§ ᷤ ⓰⓰§凐ꑐ⓰⓰꼸§⓰⓰⓰ §β©ĀöĐĮĆî§꼸ᷤ⓰ၬ峄⓰§ᷤ⓰⓰§⓰峄§⓰ၬ꼸깄ၬꑐ⓰§⓰§⓰ᷤ§ §⓰⓰꼸§§⓰⓰⓰ §β©ĀöĖĮnö§Ű⓰§꼸§峄⓰§⓰ 깄§⓰ ꨤ⓰§ᷤ⓰⓰§⓰ၬ꼸깄ၬꑐ⓰§횰⓰꼸 § 峄⓰⓰ §⓰ၬ§ᷤၬ⓰§ᷤ⓰⓰§⓰峄§⓰ၬ꼸깄ၬꑐ⓰ö§⓰î§ᷤ⓰ꑐ⓰⓰§ᷤᷤ⓰§ ᷤ ⓰⓰§凐ꑐ⓰⓰꼸§ᷤ §⓰⓰§ᷤ⓰⓰§⓰峄§⓰ၬ꼸깄ၬö§
nö§§䳤ᷤ峄꼸§憌ᷤᷤ⓰⓰§滴凐ᷤ§
Ť⓰ꑐ⓰峄§꼸ᷤ峄⓰§ᷤ꼸§ᷤ峄꼸§峄ᷤᷤ⓰⓰§횰凐ᷤ§§⓰⓰횰§谰Ŷ滴î§峄⓰§ §ꑐ⓰ၬ§⓰ၬ§ 凐깄ᷤ§꼸⓰⓰§ꑐ⓰깄§Ū滴䳤î§ၬ凐凐ᷤ꼸꼸§凐 § §ᷤ §×䕴䳤Ýî§䥈凐횰⓰⓰ᷤ§ §ᷤ §§×Ū䳤ݧ⓰§ 滴谰ŶŞö§谰ᷤᷤၬ峄⓰ꑐ⓰§횰ᷤၬᷤ⓰§䥈깄ၬ§凐§ᷤ峄꼸§峄ᷤᷤ⓰⓰§횰凐ᷤ§⓰⓰§횰ᷤ ⓰§ ⓰§峄峄ö§×nĀĀĴݧ
§
⓰꼸§⓰⓰꼸꼸§횰ᷤ깄깄峄峄⓰§⓰§峄⓰ð峄깄⓰⓰§×Ū滴䳤ݧ꼸ᷤᷤ꼸⓰§ĀöĜĮЧ×ŌĀöĀĜÝö§⓰§§ §⓰⓰꼸§ĀöĀĜ§峄⓰⓰깄§⓰⓰횰§깄§§횰ᷤ깄깄峄峄⓰§⓰峄§⓰⓰§ᷤ⓰§ꑐ⓰ၬ§꼸ၬ 峄⓰ö§⓰ §⓰⓰횰§ 谰Ŷ滴§깄ၬ⓰§ᷤ횰峄⓰î§⓰§§§⓰⓰꼸§ĀöĀĜ§횰ᷤ깄깄峄峄⓰§⓰峄§⓰⓰§ᷤ⓰§⓰⓰⓰§⓰⓰§ꑐ⓰ၬ§ 峄⓰§⓰峄⓰§깄깄峄§횰ᷤၬ⓰⓰꼸꼸§ᷤၬ⓰§횰凐ᷤ§ꑐ⓰ၬ§峄⓰§峄ᷤ횰⓰ၬ峄⓰ö§Űᷤၬ⓰§峄⓰⓰§ ⓰î§횰凐ᷤ§峄⓰§횰ᷤꨤ⓰峄§⓰⓰§峄⓰ö§
§
Model NPAR CMIN DF P CMIN/DF Default model 20 .583 1 .445 .583 Saturated model 21 .000 0
Independence model 6 2568.090 15 .000 171.206 §
䳤ᷤ峄꼸§⓰ꑐ⓰§깄ၬ⓰§횰ᷤ횰峄§⓰§ꑐ⓰ၬ§ ⓰⓰峄⓰î§䕴䳤§⓰§Ū䳤§§⓰⓰꼸§ĀöĴ§꼸ᷤ⓰ၬ峄⓰§ 滴谰Ŷާ§⓰ꨤ⓰ §ĀöĀĮö§滴谰Ŷާ⓰⓰⓰ §⓰§ᷤ꼸깄§⓰⓰꼸§꼸⓰횰⓰ §⓰⓰깄§ᷤ횰깄⓰ၬ⓰î§ ⓰§峄⓰§ ⓰⓰峄⓰§꼸ᷤ꼸ᷤ峄§횰깄ၬ峄§⓰⓰ð⓰⓰§§⓰⓰횰§⓰⓰§ꑐ⓰ၬ§峄⓰§깄⓰ၬî§ ⓰⓰꼸§⓰峄§⓰峄⓰§⓰⓰횰§횰凐ᷤö§Űᷤၬ⓰§峄ᷤ꼸횰깄⓰§§횰凐ᷤ§§ᷤ⓰ðᷤ⓰§ § ᷤၬ⓰§⓰⓰ö§
§
Model CFI RMR GFI AGFI RMSEA Default model 1.000 .715 .999 .986 .000 Saturated model 1.000 .000 1.000
Independence model .000 4349.690 .289 .005 .754 §
䳤ᷤ峄꼸§§⓰ꨤ⓰ §§꼸⓰ၬ⓰§ᷤၬ§깄깄峄§횰ᷤ횰⓰ၬ峄⓰§⓰⓰§횰凐ᷤð횰凐ᷤ§ꑐ⓰ၬ§ 峄⓰§峄ᷤ횰⓰ၬ峄⓰ö§滴꼸⓰ꑐ⓰§⓰§⓰⓰ᷤð⓰⓰ᷤ§§⓰⓰꼸î§峄⓰§횰ᷤၬᷤ횰⓰ၬ峄⓰§ 횰凐ᷤð횰凐ᷤ§ꑐ⓰ၬ§ᷤᷤ⓰ö§⓰ §峄⓰⓰깄§꼸ᷤ횰깄⓰§횰凐ᷤ§깄§ î§횰⓰⓰峄⓰ §ꑐ⓰ၬ§⓰ၬ§ ⓰峄Œ§§憌⓰§꼸⓰§횰ᷤ ⓰§횰ᷤ⓰깄§⓰峄⓰峄ᷤ§ 凐횰⓰凐§䥈ᷤ凐§§×Ş䳤Ūݧ
§
Model AIC BCC BIC CAIC
Default model 40.583 41.542 114.659 134.659 Saturated model 42.000 43.007 119.779 140.779 Independence model 2580.090 2580.378 2602.313 2608.313 §
⓰ၬᷤ§§Ĝ§§ §
§ §
Perbandingan dua model berdasarkan nilai AIC
§
Selisih nilai AIC dua Model Kesimpulan Di bawah 2.5 Tidak ada beda ketepatan model Antara 2.5 hingga 6 Model A lebih fit jika N>256 Antara 6 hingga 9 Model A lebih fit jika N>64
Di atas 10 Model A lebih fit
§ §
ᷤ ᷤᷤ䥈ᷤ꼸§
⓰î§ö§ö⓰䥈峄î§宼ö§Ūö⓰ö§öî§Ë§Şᷤ꼸凐î§ö§Ŷö§×nĀĀĴÝö§滴깄⓰⓰ᷤ§Ű⓰⓰§Ş⓰ꑐ꼸꼸§ ×Ĩ §ᷤöÝö§ᷤ§谰⓰ᷤ§ᷤî§ĺ§ᷤ䥈ᷤ§⓰ö§
§
ᷤî§ö§滴ö§×nĀĆĆÝö§ᷤၬ⓰ᷤ§Ť凐횰⓰§ᷤၬᷤ꼸꼸凐ö§Ū⓰횰ၬᷤĺ§Ū⓰횰ၬᷤ§ᷤ꼸ꑐ§ ᷤ꼸꼸ö§
§
ᷤ⓰䥈 ᷤî§憌ö§öî§깄䥈峄ᷤî§Űö§Űöî§Ë§⓰ꑐᷤ꼸ö§ö§×nĀĀĨÝö§Şᷤ꼸꼸ၬ§滴凐ᷤ⓰ᷤ§滴ᷤ⓰凐§ ꑐ凐 ᷤ꼸ᷤ꼸ĺ§ ᷤ凐ꑐî§滴ᷤ 凐꼸î§⓰§ᷤ꼸䥈凐꼸ö§滴깄⓰⓰ᷤ§Ťᷤ ⓰凐⓰§ ᷤ꼸ᷤ⓰䥈 î§Ėn×ĆÝî§ĆĮĜö§凐ĺĆĀöĆĀĮĀúĀĀnĨĐĆĨĀĨĀĆĐĖĆĐĆĢ§
§
宼 ⓰꼸凐î§宼ö§×nĀĆĆ⓰Ýö§꼸§滴ᷤၬၬ⓰횰⓰§滴凐ᷤ§⓰⓰횰§Ş滴谰ö§Ű꼸峄깄꼸§滴ᷤ凐凐凐ၬ§ ᷤᷤ⓰ö§Ť凐ၬî§ö§ᷤᷤᷤ§깄ᷤ§Ĝî§nĀĆĀî§ 凐횰§
ĺúúꨤ⓰ ꑐ깄꼸ꑐö凐ၬö깄ၬ횰ö⓰䥈öúnĀĆĆúĀnúĆĮú꼸ð횰ᷤၬၬ⓰횰⓰ð횰凐ᷤð ⓰⓰횰ð⓰횰凐꼸ú§
§
宼 ⓰꼸凐î§宼ö§×nĀĆĆÝö§滴ᷤၬ 깄ၬ§谰ၬ 峄⓰꼸§ᷤ⓰⓰§⓰峄§⓰ၬ꼸깄ၬ§凐ၬ⓰횰§ Ş滴谰ö§Ű꼸峄깄꼸§滴ᷤ凐凐凐ၬ§ᷤᷤ⓰ö§Ť凐ၬî§ö§ᷤᷤᷤ§깄ᷤ§Ĝî§nĀĆĆî§ 凐횰§ ĺúúꨤ⓰ ꑐ깄꼸ꑐö凐ၬö깄ၬ횰ö⓰䥈öúnĀĆĆúĀĐúĀĴú횰ᷤၬ 깄ၬð꼸ၬ 峄⓰꼸ð ᷤ⓰⓰ð⓰峄ð⓰ၬ꼸깄ၬð凐ၬ⓰횰ð⓰횰凐꼸ú§
