Contoh Analisis Melalui AMOS – Ketika Mediator Moderator dalam Satu Model
Ū凐 凐 §Ş ⓰ 꼸꼸§滴ᷤ ⓰ 깄§Ş滴 谰§ §憌ᷤ 峄⓰§滴ᷤ ⓰ 凐 §Ë§ 滴凐 ᷤ ⓰ 凐 § ⓰ ⓰횰§谰⓰ 깄§滴凐 ᷤ §§
§ 宼⓰ ꑐ깄§宼 ⓰ 꼸凐§
⓰峄깄 ⓰꼸§ 꼸峄凐 凐ၬ§䕴滴§ §nĀĆƧ
§ § 깄 꼸⓰ § §횰ᷤ횰 ⓰ ⓰꼸§횰⓰꼸⓰ ⓰ § 凐꼸ᷤ 깄 §⓰ ⓰ 꼸꼸§峄ᷤ 峄⓰§꼸ᷤ 깄⓰ §횰凐 ᷤ §횰ᷤ횰 峄§ 깄⓰§ ᷤ 꼸§ ⓰ ⓰ ᷤ î§ꑐ⓰ 깄§ ⓰ ⓰ ᷤ §횰ᷤ ⓰ 凐 § ⓰ § ⓰ ⓰ ᷤ §횰凐 ᷤ ⓰ 凐 ö§憌⓰ § §ꑐ⓰ ၬ§峄 ⓰§ ⓰ ⓰꼸§⓰ ⓰ ⓰ §횰凐 ᷤ §⓰ ⓰ 꼸꼸§ ⓰ 깄 § ⓰ ⓰§횰ᷤ ၬၬ깄 ⓰峄⓰ § ⓰ ⓰ ᷤ § ⓰ ᷤ ö§ ⓰ §꼸ᷤ횰깄⓰§ 峄凐 꼸 깄峄§ꑐ⓰ ၬ§ ⓰ 峄⓰ §⓰ ⓰ ⓰ §峄凐 꼸 깄峄§ᷤ횰 峄§ꑐ⓰ ၬ§ ⓰ ⓰ 峄⓰ § ⓰ §꼸峄凐 § 凐 ⓰ § ⓰ ⓰깄§ ᷤ ⓰ ⓰§⓰ ⓰ §깄峄깄 ö§ §
Şö§§§Űᷤ꼸⓰ § ᷤ ᷤ ⓰ §
ᷤ ⓰ § § ᷤ 깄 깄⓰ §깄 깄峄§횰ᷤ ၬ깄 § ᷤ ⓰ ⓰ §峄깄⓰ ⓰꼸§ ᷤ ⓰ꑐ⓰ ⓰ §× ݧ ᷤ ⓰ ⓰ § 凐ꑐ⓰ ⓰꼸§ ᷤ ⓰ ၬၬ⓰ §×㲠Ýö§ 깄 깄 ၬ⓰ §峄ᷤ 깄⓰ ꑐ⓰§ 횰ᷤ ⓰ 凐 §凐 ᷤ §峄ᷤ 깄⓰꼸⓰ § ᷤ ⓰ ၬၬ⓰ § ×滴凐 Ýö§Ş ꑐ⓰§ ᷤ ⓰ꑐ⓰ ⓰ §횰ᷤ ၬ峄⓰ 峄⓰ §峄ᷤ 깄⓰꼸⓰ § ᷤ ⓰ ၬၬ⓰ § ᷤ ᷤ § ⓰ 깄 깄§ ⓰ 깄§ 峄ᷤ횰깄 ⓰ §횰ᷤ ၬ峄⓰ 峄⓰ § 凐ꑐ⓰ ⓰꼸 ꑐ⓰ö§§ § ۧ꼸꼸§ ⓰ î§ᷤ횰 ⓰ § 깄ၬ⓰§ ᷤ ᷤ ⓰ § ⓰ ⓰횰§ 깄 깄 ၬ⓰ §峄ᷤ ၬ⓰§ ⓰ ⓰ ᷤ § ᷤ 꼸ᷤ 깄 ö§Ŷ횰 ⓰ § 횰ᷤ ᷤ 깄峄⓰ §⓰ ⓰峄⓰ § ᷤ ⓰ꑐ⓰ ⓰ §횰ᷤ ၬ峄⓰ 峄⓰ §峄ᷤ 깄⓰꼸⓰ §⓰ ⓰깄峄⓰ § ⓰峄ö§Ş꼸깄횰꼸 ꑐ⓰§ ⓰ ꑐ⓰§ ᷤ ၬ⓰ §ᷤ횰 ⓰ î§ ᷤ ⓰ꑐ⓰ ⓰ §ꑐ⓰ ၬ§ ᷤ 峄깄⓰ ⓰꼸§⓰峄⓰ §횰ᷤ ၬ峄⓰ 峄⓰ §峄ᷤ 깄⓰꼸⓰ § ᷤ ⓰ ၬၬ⓰ ö§Ŷ횰 ⓰ § 깄ၬ⓰§횰ᷤ ⓰ §횰凐 ᷤ ⓰ 凐 § ᷤ ⓰ ⓰ §峄ᷤ 깄⓰꼸⓰ § ᷤ ⓰ ⓰ § 凐ꑐ⓰ ⓰꼸ö§ 憌凐 꼸깄횰ᷤ § 깄⓰꼸î§ ⓰ §峄⓰ ⓰깄§ ⓰峄§ ⓰ ᷤ ၬ§ ᷤ ၬ⓰ §ᷤ횰 ⓰ § ᷤ ⓰ ⓰ § ᷤ ⓰ ၬၬ⓰ § 횰ᷤ ᷤ峄⓰§ ⓰峄§⓰峄⓰ § 凐ꑐ⓰ ö§ ⓰ ၬ§ ⓰꼸 § ⓰峄§⓰峄⓰ §峄ᷤ횰 ⓰ §峄ᷤ§ 凐峄凐§峄 ⓰§峄⓰ ⓰깄§ ᷤ ⓰ၬ⓰§ 凐峄凐§ ⓰峄§ ⓰횰⓰ ö§滴ᷤ꼸峄 깄 § ⓰§ 깄⓰꼸§ ᷤ ၬ⓰ § ⓰ ၬ⓰§ ⓰ § ᷤ ⓰ꑐ⓰ ⓰ î§ 꼸⓰§ ⓰ § ⓰§ ᷤ ⓰ §峄ᷤ§ 凐峄凐§ ⓰ ꑐ⓰ö§ § ⓰ î§꼸ᷤ ᷤ ၬ峄⓰ ꑐ⓰§ ⓰ ⓰ ᷤ §峄 ⓰§⓰ ⓰ ⓰ §꼸ᷤ ⓰ၬ⓰§ ᷤ 峄깄 § ⓰ ⓰ ᷤ §Űᷤ ᷤ ᷤ §§ 姧 凐ꑐ⓰ ⓰꼸§ ⓰ ⓰ ᷤ §䳤 ᷤ ᷤ ᷤ § 姧憌깄⓰ ⓰꼸§ ᷤ ⓰ꑐ⓰ ⓰ § ⓰ ⓰ ᷤ §滴ᷤ ⓰ 凐 § 姧憌ᷤ 깄⓰꼸⓰ § ⓰ ⓰ ᷤ §滴凐 ᷤ ⓰ 凐 § 姧Ŷ횰 ⓰ §§ §
Ťö§§䕴⓰횰 ⓰ §滴凐 ᷤ §
憌凐 꼸ᷤ § § ᷤ ᷤ峄꼸峄⓰ § ⓰ ⓰§ၬ⓰횰 ⓰ § §⓰ ⓰꼸ö§ ⓰ ⓰ § ⓰ §ᷤ횰 ⓰ §峄ᷤ§⓰ ⓰ § ⓰ ⓰ § 깄 깄 ၬ⓰ § ᷤ ⓰ꑐ⓰ ⓰ ð峄ᷤ 깄⓰꼸⓰ §꼸ᷤ ⓰§峄ᷤ 깄⓰꼸⓰ ð 凐ꑐ⓰ ⓰꼸§횰ᷤ 깄 깄峄峄⓰ § ⓰ ꨤ⓰§ᷤ횰 ⓰ § 횰ᷤ ⓰ §횰凐 ᷤ ⓰ 凐 § 깄 깄 ၬ⓰ § ᷤ 꼸ᷤ 깄 ö§ §
Ŷ횰 ⓰ § 憌ᷤ 깄⓰꼸⓰ §
ᷤ ⓰ꑐ⓰ ⓰ § 凐ꑐ⓰ ⓰꼸§ §
§ ⓰ၬᷤ§ §Ć§§
Ūö§§滴ᷤ ၬ⓰ 峄⓰꼸峄⓰ §䕴⓰횰 ⓰ § §Ş滴 谰§
⓰ ⓰ ᷤ §횰凐 ᷤ ⓰ 凐 §꼸ᷤ䥈⓰ ⓰§꼸 ⓰ 꼸 峄§ ꨤ깄 깄 峄⓰ § ⓰ ⓰횰§ ᷤ 깄峄§ ⓰ ⓰ ᷤ §ꑐ⓰ ၬ§ 횰ᷤ 깄 ⓰峄⓰ § ᷤ 峄⓰ ⓰ §⓰ ⓰ ⓰§ ᷤ 峄 凐 § ⓰ §횰凐 ᷤ ⓰ 凐 ꑐ⓰ö§滴꼸⓰ ꑐ⓰§ ᷤ ⓰ ⓰ § ᷤ ⓰ꑐ⓰ ⓰ §ꑐ⓰ ၬ§ 횰凐 ᷤ ⓰ 凐 §凐 ᷤ §ᷤ횰 ⓰ î§횰⓰峄⓰§峄 ⓰§횰ᷤ횰 깄⓰ § ⓰ ⓰ ᷤ § ⓰ 깄§ꑐ⓰ ၬ§ 횰ᷤ 깄 ⓰峄⓰ § ᷤ 峄⓰ ⓰ §峄ᷤ 깄⓰§ ⓰ ⓰ ᷤ § ᷤ 꼸ᷤ 깄 §× ᷤ⓰䥈 ᷤ î§ 깄䥈峄ᷤ î§Ë§ ⓰ꑐᷤ꼸î§nĀĀĨÝö§ § Ű⓰ ⓰횰§䥈凐 凐 § § ᷤ 峄⓰ ⓰ §⓰ ⓰ ⓰§ ᷤ ⓰ꑐ⓰ ⓰ § ⓰ §ᷤ횰 ⓰ §꼸⓰ꑐ⓰§ ⓰횰⓰峄⓰ §Ŷ滴ཀ Ŷ î§ 꼸ᷤ ⓰ ၬ峄⓰ § ᷤ 峄⓰ ⓰ §⓰ ⓰ ⓰§峄ᷤ 깄⓰꼸⓰ § ⓰ §ᷤ횰 ⓰ §꼸⓰ꑐ⓰§ ⓰횰⓰峄⓰ §Ŷ滴ཀ Ş谰ö§ ᷤ 깄 ꑐ⓰§ 峄 ⓰§꼸⓰ 峄⓰ § ⓰ ⓰ ᷤ § § §谰 谰谰§꼸ᷤ ᷤ 깄횰§ § ⓰ꨤ⓰§峄ᷤ§Ş滴 谰ö§Ť⓰ၬ⓰횰⓰ ⓰§䥈⓰ ⓰§ 횰ᷤ ၬၬ⓰횰 ⓰ § ⓰ §횰ᷤ횰 ⓰ § ⓰ ⓰ ᷤ § 꼸⓰§ ⓰ § §宼 ⓰ 꼸凐§×宼 ⓰ 꼸凐î§nĀĆĆ⓰Ýö§§ § 䕴⓰횰 ⓰ § ⓰꼸 §⓰ ⓰ 꼸꼸§ § 凐ၬ ⓰횰§Ş滴 谰§ ⓰ ⓰ § ⓰ § ⓰ ⓰§ၬ⓰횰 ⓰ § § ⓰ꨤ⓰ § ö§ §
§ §
Űö§§滴ᷤ횰 ⓰䥈⓰§ 깄 깄 § Ćö§§Ŷ꼸 횰⓰꼸§ ⓰ ⓰횰ᷤ ᷤ §
Ťᷤ 峄깄 § § ⓰꼸 §⓰ ⓰ 꼸꼸§횰ᷤ ⓰ 깄§ 凐ၬ ⓰횰§Ş滴 谰ö§Ş ⓰§ 깄⓰§ ⓰ၬ⓰ §ꑐ⓰ ၬ§峄 ⓰§ ⓰ ⓰꼸§ꑐ⓰ 깄§ ⓰§ᷤ꼸 횰⓰꼸§ ⓰ § ⓰ ⓰횰ᷤ ᷤ § ⓰ § ⓰§峄ᷤ ᷤ ⓰ ⓰ §횰凐 ᷤ ö§§ §
凐 ᷤ꼸꼸§Ćö§ 凐ꑐ⓰ ⓰꼸§횰ᷤ ⓰ §횰凐 ᷤ ⓰ 凐 § ᷤ ⓰ ⓰ § ၬ峄⓰ § ᷤ ⓰ꑐ⓰ ⓰ § ᷤ ⓰ ⓰ §
峄ᷤ 깄⓰꼸⓰ § ᷤ ⓰ ၬၬ⓰ ö§憌凐 깄꼸§ 凐ꑐ⓰ ⓰꼸§ ⓰ ⓰횰§횰ᷤ ၬ峄⓰ 峄⓰ §峄ᷤ 깄⓰꼸⓰ § ᷤ ⓰ ၬၬ⓰ §⓰峄⓰ § ᷤ꼸⓰ § 峄⓰§ ᷤ ⓰ꑐ⓰ ⓰ § ᷤ 꼸ᷤ 깄 § ⓰ ᷤ ၬ§ ᷤ ၬ⓰ §ᷤ횰 ⓰ ö§
§ ⓰꼸 §⓰ ⓰ 꼸꼸§횰ᷤ 깄 깄峄峄⓰ § ⓰§ᷤ꼸 횰⓰꼸§ꑐ⓰ ၬ§꼸ၬ 峄⓰ §× ©ðĀönĖ§ ŃĀöĀĜÝö§
Űᷤ ၬ⓰ § ᷤ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§ §n§§
§
凐 ᷤ꼸꼸§nö§ 凐ꑐ⓰ ⓰꼸§횰ᷤ ⓰ §횰凐 ᷤ ⓰ 凐 § ᷤ ⓰ ⓰ §峄ᷤ 깄⓰꼸⓰ § ᷤ ⓰ ၬၬ⓰ § ᷤ ⓰ ⓰ §
凐ꑐ⓰ ⓰꼸 ꑐ⓰ö§§ ⓰꼸 §⓰ ⓰ 꼸꼸§횰ᷤ 깄 깄峄峄⓰ § ⓰§ᷤ꼸 횰⓰꼸§ꑐ⓰ ၬ§꼸ၬ 峄⓰ §× ©ðĀöĀĀĨÝö§Űᷤ ၬ⓰ § ᷤ횰峄⓰ § 凐 ᷤ꼸꼸§n§ ᷤ 깄峄 ö§
§
Ū⓰ ⓰ ⓰ §§ĺ§憌⓰ ᷤ ⓰§峄凐ᷤ 꼸ᷤ § § 깄峄⓰ §횰ᷤ 깄 ⓰峄⓰ §峄凐ᷤ 꼸ᷤ §ꑐ⓰ ၬ§ ᷤ 꼸 ⓰ ⓰ 꼸⓰꼸î§횰⓰峄⓰§
⓰ ၬ⓰ §횰ᷤ ⓰ § ᷤ꼸⓰ §峄ᷤ䥈 ꑐ⓰§ ⓰§ᷤ꼸 횰⓰꼸ö§ ⓰§ᷤ꼸 횰⓰꼸§ ၬၬ§ ⓰ §峄⓰ ⓰깄§꼸 ⓰ ⓰ § ᷤ 凐 § ꑐ⓰§ ၬၬ§ꑐ⓰§꼸⓰횰⓰§⓰ ⓰î§ ⓰峄§꼸ၬ 峄⓰ ö§§ § ⓰§Ūö § §⓰ ⓰꼸§횰ᷤ 깄 깄峄峄⓰ § ⓰§䥈 䥈⓰ § ⓰ 凐§ꑐ⓰ ၬ§ ⓰ ⓰ 峄⓰ § ⓰ § ⓰§ᷤ꼸 횰⓰꼸§ ꑐ⓰ ၬ§ ⓰ၬ§凐 ᷤ §꼸 ⓰ ⓰ §ᷤ 凐 ꑐ⓰§×谰öŶÝö§§谰ᷤ횰⓰峄 § ၬၬ§ ⓰§Ūö §꼸ᷤ횰⓰峄 §꼸ၬ 峄⓰ ö§ 憌⓰ ⓰깄§깄峄깄 ⓰ §꼸⓰횰 ᷤ §峄 ⓰§ ᷤ꼸⓰ î§횰⓰峄⓰§ ⓰꼸⓰ ꑐ⓰§ ⓰§Ūö § §⓰ ⓰꼸§ĆöĴĢ§⓰峄⓰ § 횰ᷤ ၬ ⓰꼸 峄⓰ § ⓰§ᷤ꼸 횰⓰꼸§ꑐ⓰ ၬ§꼸ၬ 峄⓰ § ⓰ ⓰§ ⓰ ⓰ §ĜƠî§꼸ᷤ ⓰ ၬ峄⓰ § 峄⓰§ §⓰ ⓰꼸§ nöĜĢ§⓰峄⓰ §꼸ၬ 峄⓰ § ⓰ ⓰§ ⓰ ⓰ §ĆÅö§ ⓰ §峄 ⓰§ ⓰峄§깄꼸⓰ § ၬ깄 ၬ滴 谰§횰ᷤ횰 ⓰ 깄§ 峄 ⓰§횰ᷤ ⓰ 깄§ ⓰§ §ꑐ⓰ ၬ§횰ᷤ 깄 깄峄峄⓰ §꼸ၬ 峄⓰ § ⓰峄 ꑐ⓰ö§ § ۧ ⓰ꨤ⓰ § § ⓰§ᷤ꼸 횰⓰꼸§ꑐ⓰ ၬ§ ᷤ 꼸 ⓰ ⓰ 꼸⓰꼸ö§憌⓰ ⓰깄§ꑐ⓰ ၬ§깄 꼸 ⓰ ⓰ ᷤ § 꼸횰 凐 峄⓰ § ᷤ ၬ⓰ §× ݧ횰⓰峄⓰§ ⓰§ § 꼸횰 凐 峄⓰ § ᷤ ၬ⓰ §×
βÝö§ ⓰ §峄⓰ ⓰깄§ §峄 ⓰§ 꼸⓰§ 횰ᷤ횰 ⓰ ၬ峄⓰ § ᷤ꼸⓰ ꑐ⓰§ ⓰峄 ꑐ⓰ö§§ §
Standardized Regression Weights
EstimateKepuasan <--- 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 §횰ᷤ ⓰ §횰ᷤ ⓰ 凐 § ᷤ ⓰ ⓰ § ᷤ ⓰ꑐ⓰ ⓰ § ⓰ ⓰횰§횰ᷤ ၬ峄⓰ 峄⓰ §
凐ꑐ⓰ ⓰꼸§ ᷤ ⓰ ၬၬ⓰ ö§ ᷤ ⓰ꑐ⓰ ⓰ §횰ᷤ ၬ峄⓰ 峄⓰ §峄ᷤ 깄⓰꼸⓰ § ᷤ ⓰ ၬၬ⓰ § ᷤ ᷤ § ⓰ 깄 깄§ꑐ⓰ ၬ§꼸ᷤ ⓰ 깄 ꑐ⓰§峄ᷤ 깄⓰꼸⓰ § ᷤ 꼸ᷤ 깄 §횰ᷤ ၬ峄⓰ 峄⓰ § 凐ꑐ⓰ ⓰꼸ö§
§ §
ᷤ ⓰ ⓰ §峄ᷤ 깄⓰꼸⓰ §꼸ᷤ ⓰ၬ⓰§횰ᷤ ⓰ 凐 § ⓰ ⓰ § ⓰ § ⓰ ⓰§ ⓰ၬ⓰ § ᷤ ⓰ ⓰ § ⓰峄§ ⓰ ၬ꼸깄 ၬ§× ᷤ䥈 §ᷤ ᷤ䥈 Ýö§Ū⓰ ⓰§ ⓰䥈⓰ ꑐ⓰§⓰ ⓰ ⓰ §峄凐 凐횰§횰ᷤ횰 ᷤ 峄꼸§ ⓰ 꼸§×峄凐 凐횰§à§ ⓰ 꼸Ýö§Űᷤ ၬ⓰ § 꼸 § §峄 ⓰§횰ᷤ ⓰ ⓰ 峄⓰ § ᷤ ⓰ ⓰ § ⓰峄§ ⓰ ၬ꼸깄 ၬ§ ᷤ ⓰ꑐ⓰ ⓰ § ᷤ ⓰ ⓰ § 凐ꑐ⓰ ⓰꼸§⓰ ⓰ ⓰ § ©ĀöĀĴĮ§⓰ ⓰깄§
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
Pelayanan Emp_Pel Emp_Puas Empati Kepuasan Kepuasan .000 .000 .000 .000 .000 Loyalitas .482 -.241 .000 .315 .000⓰ၬᷤ§ §Đ§§
谰ၬ 峄⓰ ꑐ⓰§ ⓰ 깄 ꑐ⓰§ ⓰ §횰⓰ ⓰Œ§䳤 §횰⓰꼸⓰ ⓰ ꑐ⓰滴 谰§ ᷤ î§ ⓰峄§횰⓰깄§ 횰ᷤ ၬᷤ 깄⓰ 峄⓰ §꼸ၬ 峄⓰ § ⓰峄 ꑐ⓰ö§Ş ⓰§ ⓰ ⓰ §횰ᷤ ၬၬ깄 ⓰峄⓰ § 凐ၬ ⓰횰§ ⓰ 깄§ꑐ⓰ ၬ§ ⓰ ⓰ § ⓰ § §宼 ⓰ 꼸凐§×nĀĆĆ Ýö§ § Ű⓰ § ⓰ ᷤ § §⓰ꨤ⓰ §⓰ꨤ⓰ § ⓰ §峄 ⓰§횰ᷤ ⓰ § ⓰ ꨤ⓰§ ᷤ ⓰ ⓰ § ⓰ ၬ꼸깄 ၬ§ ᷤ ⓰ꑐ⓰ ⓰ § ᷤ ⓰ ⓰ § 凐ꑐ⓰ ⓰꼸§⓰ ⓰ ⓰ §
β©ĀöĐĮĆî§꼸ᷤ ⓰ ၬ峄⓰ § ᷤ ⓰ ⓰ § ⓰峄§ ⓰ ၬ꼸깄 ၬ ꑐ⓰§ ⓰ § ⓰ ᷤ § §⓰ ⓰꼸§ §⓰ ⓰ ⓰ §
β©ĀöĖĮnö§Ű⓰ §꼸 §峄 ⓰§ ⓰ 깄§ ⓰ ꨤ⓰§ ᷤ ⓰ ⓰ § ⓰ ၬ꼸깄 ၬ ꑐ⓰§횰⓰꼸 § 峄⓰ ⓰ § ⓰ ၬ§ ᷤ ၬ⓰ § ᷤ ⓰ ⓰ § ⓰峄§ ⓰ ၬ꼸깄 ၬ ꑐ⓰ö§ ⓰ î§ ᷤ ⓰ꑐ⓰ ⓰ § ᷤ ᷤ ⓰ § ᷤ ⓰ ⓰ § 凐ꑐ⓰ ⓰꼸§ ᷤ § ⓰ ⓰§ ᷤ ⓰ ⓰ § ⓰峄§ ⓰ ၬ꼸깄 ၬö§
nö§§䳤 ᷤ峄꼸§憌ᷤ ᷤ ⓰ ⓰ §滴凐 ᷤ §
Ť⓰ ꑐ⓰峄§꼸ᷤ峄⓰ § ᷤ 꼸§ ᷤ峄꼸§峄ᷤ ᷤ ⓰ ⓰ §횰凐 ᷤ § § ⓰ ⓰횰§谰Ŷ滴î§峄 ⓰§ §ꑐ⓰ ၬ§ ⓰ ၬ§ 凐 깄 ᷤ §꼸⓰ ⓰§ꑐ⓰ 깄§Ū滴䳤 î§ၬ凐凐 ᷤ꼸꼸§凐 § § ᷤ §×䕴 䳤Ýî§䥈凐횰 ⓰ ⓰ ᷤ§ § ᷤ §§×Ū 䳤ݧ ⓰ § 滴谰ŶŞö§谰ᷤ ᷤ ၬ峄⓰ ꑐ⓰§횰ᷤ ၬᷤ ⓰§䥈깄 ၬ§ 凐 § ᷤ峄꼸§峄ᷤ ᷤ ⓰ ⓰ §횰凐 ᷤ § ⓰ ⓰ §횰ᷤ ⓰ § ⓰ § 峄峄ö§×nĀĀĴݧ § ⓰꼸 §⓰ ⓰ 꼸꼸§횰ᷤ 깄 깄峄峄⓰ § ⓰§峄⓰ð峄깄⓰ ⓰ §×Ū滴䳤 ݧ꼸ᷤ ᷤ꼸⓰ §ĀöĜĮĐ§× ŌĀöĀĜÝö§ ⓰§ § §⓰ ⓰꼸§ĀöĀĜ§峄⓰ ⓰깄§ ⓰ ⓰횰§깄 § §횰ᷤ 깄 깄峄峄⓰ § ⓰峄§⓰ ⓰§ ᷤ ⓰§ꑐ⓰ ၬ§꼸ၬ 峄⓰ ö§ ⓰ § ⓰ ⓰횰§ 谰Ŷ滴§ 깄ၬ⓰§ ᷤ횰峄⓰ î§ ⓰§ § §⓰ ⓰꼸§ĀöĀĜ§횰ᷤ 깄 깄峄峄⓰ § ⓰峄§⓰ ⓰§ ᷤ ⓰§⓰ ⓰ ⓰§ ⓰ ⓰§ꑐ⓰ ၬ§ 峄 ⓰§ ⓰峄⓰§깄 깄峄§횰ᷤ ၬ⓰ ⓰ 꼸꼸§ ᷤ ၬ⓰ §횰凐 ᷤ §ꑐ⓰ ၬ§峄 ⓰§峄ᷤ횰 ⓰ ၬ峄⓰ ö§Űᷤ ၬ⓰ §峄⓰ ⓰§ ⓰ î§횰凐 ᷤ §峄 ⓰§횰ᷤꨤ⓰峄 § ⓰ ⓰§峄 ⓰ö§ §
Model NPAR CMIN DF P CMIN/DF
Default model 20 .583 1 .445 .583 Saturated model21 .000
Independence model 6 2568.090 15 .000 171.206
§ 䳤 ᷤ峄꼸§ ⓰ ꑐ⓰§ 깄ၬ⓰§횰ᷤ횰 峄§ ⓰§ꑐ⓰ ၬ§ ⓰ ⓰ 峄⓰ î§䕴 䳤§ ⓰ §Ū 䳤§ §⓰ ⓰꼸§ĀöĴ§꼸ᷤ ⓰ ၬ峄⓰ § 滴谰Ŷާ § ⓰ꨤ⓰ §ĀöĀĮö§ 滴谰Ŷާ⓰ ⓰ ⓰ § ⓰§ ᷤ꼸 깄§⓰ ⓰꼸§꼸⓰횰 ⓰ §⓰ ⓰깄§ ᷤ횰 깄⓰ ၬ⓰ î§ ⓰ §峄 ⓰§ ⓰ ⓰ 峄⓰ §꼸ᷤ꼸ᷤ 峄 §횰깄 ၬ峄 § ⓰ ⓰ ð ⓰ ⓰ § § ⓰ ⓰횰§ ⓰ ⓰§ꑐ⓰ ၬ§峄 ⓰§ 깄⓰ ၬî§ ⓰ ⓰꼸§ ⓰峄§ ⓰ 峄⓰ § ⓰ ⓰횰§횰凐 ᷤ ö§Űᷤ ၬ⓰ §峄ᷤ꼸횰 깄 ⓰ § §횰凐 ᷤ § § ᷤ ⓰ ð ᷤ ⓰ § § ᷤ ၬ⓰ § ⓰ ⓰ö§ §
Model CFI RMR GFI AGFI RMSEA
Default model 1.000 .715 .999 .986 .000
Saturated model 1.000 .000 1.000Independence model .000 4349.690 .289 .005 .754
§ 䳤 ᷤ峄꼸§ § ⓰ꨤ⓰ § §꼸⓰ ၬ⓰ § ᷤ ၬ§깄 깄峄§횰ᷤ횰 ⓰ ၬ峄⓰ §⓰ ⓰ §횰凐 ᷤ ð횰凐 ᷤ §ꑐ⓰ ၬ§ 峄 ⓰§峄ᷤ횰 ⓰ ၬ峄⓰ ö§滴꼸⓰ ꑐ⓰§ ⓰ § ⓰ ⓰ ᷤ ð ⓰ ⓰ ᷤ § §⓰ ⓰꼸î§峄 ⓰§횰ᷤ ၬᷤ횰 ⓰ ၬ峄⓰ § 횰凐 ᷤ ð횰凐 ᷤ §ꑐ⓰ ၬ§ ᷤ ᷤ ⓰ö§ ⓰ §峄⓰ ⓰깄§꼸ᷤ횰깄⓰§횰凐 ᷤ § 깄§ î§횰⓰ ⓰峄⓰ §ꑐ⓰ ၬ§ ⓰ ၬ§ ⓰峄Œ§§憌 ⓰§ 꼸⓰§횰ᷤ ⓰ §횰ᷤ ⓰ 깄§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
§ ⓰ ᷤ § § ⓰ꨤ⓰ § §횰ᷤ ⓰ § ᷤ 凐횰⓰ §깄 깄峄§횰ᷤ ᷤ 깄峄⓰ §횰⓰ ⓰§ §⓰ ⓰ ⓰§ 깄⓰§횰凐 ᷤ §§ ꑐ⓰ ၬ§ ⓰ ၬ峄⓰ §ꑐ⓰ ၬ§ ⓰ ၬ§횰ᷤ ၬၬ⓰횰 ⓰ 峄⓰ §횰凐 ᷤ ö§滴꼸⓰ ꑐ⓰§횰凐 ᷤ §Ş§ ⓰ §Ťî§ 횰凐 ᷤ §Ť§횰ᷤ횰 峄§ ⓰§Ş䳤Ū§ ᷤ § ၬၬ§ ⓰ ၬ§횰凐 ᷤ §Şî§횰⓰峄⓰§峄ᷤ꼸횰 깄 ⓰ ꑐ⓰§ 꼸ᷤ ⓰ၬ⓰§ ᷤ 峄깄 §× ᷤî§nĀĆĆÝö§
⓰ၬᷤ§ §Ė§§
§ §
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§
⓰ î§ ö§ ö ⓰䥈峄î§宼ö§Ūö⓰ ö§ öî§Ë§Ş ᷤ 꼸凐 î§ ö§Ŷö§×nĀĀĴÝö§滴깄 ⓰ ⓰ ᷤ§Ű⓰ ⓰§Ş ⓰ ꑐ꼸꼸§ ×Ĩ §ᷤ öÝö§ ᷤ §谰⓰ ᷤ§ ᷤ î§ ĺ§ ᷤ 䥈ᷤ§ ⓰ ö§
§ ᷤî§ ö§滴ö§×nĀĆĆÝö§ ᷤၬ⓰ ᷤ§Ť 凐횰⓰ § ᷤၬ ᷤ꼸꼸凐 ö§Ū⓰횰 ၬᷤĺ§Ū⓰횰 ၬᷤ§ ᷤ 꼸 ꑐ§
ᷤ꼸꼸ö§ § ᷤ⓰䥈 ᷤ î§憌ö§ öî§ 깄䥈峄ᷤ î§Űö§Űöî§Ë§ ⓰ꑐᷤ꼸ö§ ö§×nĀĀĨÝö§Ş ᷤ꼸꼸 ၬ§滴凐 ᷤ ⓰ ᷤ §滴ᷤ ⓰ 凐 §
ꑐ 凐 ᷤ꼸ᷤ꼸ĺ§ ᷤ凐 ꑐî§滴ᷤ 凐 꼸î§⓰ § ᷤ꼸䥈 凐 꼸ö§滴깄 ⓰ ⓰ ᷤ§Ťᷤ ⓰ 凐 ⓰ §
ᷤ꼸ᷤ⓰ 䥈 î§Ėn×ĆÝî§ĆĮĜö§ 凐ĺĆĀöĆĀĮĀúĀĀnĨĐĆĨĀĨĀĆĐĖĆĐĆĢ§
§ 宼 ⓰ 꼸凐î§宼ö§×nĀĆĆ⓰Ýö§ 꼸§滴ᷤ ၬၬ⓰횰 ⓰ §滴凐 ᷤ § ⓰ ⓰횰§Ş滴 谰ö§Ű꼸峄깄꼸§滴ᷤ 凐 凐 凐ၬ§
ᷤ ᷤ ⓰ ö§Ť 凐ၬî§ö§ ᷤ ᷤ ᷤ § 깄 ᷤ§Ĝî§nĀĆĀî§ 凐횰§
<a href="http://wahyupsy.blog.ugm.ac.id/2011/02/18/tips-menggambar-model-"> ĺúúꨤ⓰ ꑐ깄 꼸ꑐö 凐ၬö깄ၬ횰ö⓰䥈ö únĀĆĆúĀnúĆĮú 꼸ð횰ᷤ ၬၬ⓰횰 ⓰ ð횰凐 ᷤ ð</a> ⓰ ⓰횰ð⓰횰凐꼸ú§
§ 宼 ⓰ 꼸凐î§宼ö§×nĀĆĆ Ýö§滴ᷤ ၬ 깄 ၬ§谰ၬ 峄⓰ 꼸§ ᷤ ⓰ ⓰ § ⓰峄§ ⓰ ၬ꼸깄 ၬ§ 凐ၬ ⓰횰§
Ş滴 谰ö§Ű꼸峄깄꼸§滴ᷤ 凐 凐 凐ၬ§ ᷤ ᷤ ⓰ ö§Ť 凐ၬî§ö§ ᷤ ᷤ ᷤ § 깄 ᷤ§Ĝî§nĀĆĆî§ 凐횰§ <a href="http://wahyupsy.blog.ugm.ac.id/2011/03/09/menghitung-signifikansi-"> ĺúúꨤ⓰ ꑐ깄 꼸ꑐö 凐ၬö깄ၬ횰ö⓰䥈ö únĀĆĆúĀĐúĀĴú횰ᷤ ၬ 깄 ၬð꼸ၬ 峄⓰ 꼸ð</a> ᷤ ⓰ ⓰ ð ⓰峄ð ⓰ ၬ꼸깄 ၬð 凐ၬ ⓰횰ð⓰횰凐꼸ú§
§ ⓰ၬᷤ§ §Ĝ§§