Structural Equation Modeling Bagian 4 Pendekatan Dua Tahap Dengan Composite Indicators Wihandaru Sotya Pamungkas Composite Indicators 83
Bagian 4 Pendekatan Dua Tahap Dengan Composite Indicators Sumber: BM Purwanto (2007) Wihandaru Sotya Pamungkas Composite Indicators 84
Proses memperoleh nilai lambda dan epsilon disajikan pada lampiran B. Hasil perhitungan lambda dan epsilon, sebagai berikut (tabel 4.1): Tabel 4.1 Nilai Lambda dan Epsilon Lambda Epsilon Quality 0.42078 0.05254 Satisfaction 0.42194 0.10320 Brand Loyalty 0.57349 0.08165 Word of Mouth 0.92826 0.09548 Wihandaru Sotya Pamungkas Composite Indicators 85
Tabel 4.2 Goodness of Fit Model Fit Measure Default model Saturated Independence Chi squares 0.662 Degrees of freedom 2 0 6 P 0.71838 0 Number of parameters 8 10 4 Discrepancy / df 0.33076 53 GFI 0.99890 1.00000 0.68491 Adjusted GFI 0.99451 0.47485 TLI 1.01283 0.00000 CFI 1.00000 1.00000 0.00000 RMSEA 0.00000 0.41636 Wihandaru Sotya Pamungkas Composite Indicators 86
Tabel 4.3 Uji Normalitas Assessment of normality min max Skew C.R. Kurtosis C.R. wom 1 5 0.30189 2.14178 0.30712 1.08945 bl 1 3.66255 0.55327 3.92524 0.23265 0.82526 s 1 4.67455 0.20278 1.43865 0.5906 2.09504 q 1 4.1036 0.66569 4.72279 1.55177 5.50460 Multivariate 11.51333 14.43956 Cetak hijau tidak memenuhi normalitas Wihandaru Sotya Pamungkas Composite Indicators 87
Tabel 4.4 Uji Outliers Observations farthest from the centroid (Mahalanobis distance) Observation number Mahalanobis d squared p1 p2 41 44.80404 0.00000 0.0000 46 23.13591 0.00012 0.00063 208 21.80379 0.00022 0.00005 84 21.15482 0.00030 0.00000 81 19.99837 0.00050 0.00000 139 17.26061 0.00172 0.00002 201 16.80075 0.00211 0.00000 88 16.01701 0.00300 0.00000 174 15.29649 0.00412 0.00001 224 14.11573 0.00693 0.00006 302 13.57005 0.00880 0.00009 Wihandaru Sotya Pamungkas Composite Indicators 88
287 11.88190 0.01825 0.01044 296 11.64767 0.02017 0.00919 Cetak hijau terjadi outlier Wihandaru Sotya Pamungkas Composite Indicators 89
Tabel 4.5A Analisis Regresi Regression Weights Estimate S.E. C.R. P Sat < Qua 0.94810 0.0565 16.772 0.0000 BL < Sat 0.19915 0.0608 3.2722 0.0011 WOM < Sat 0.11962 0.0422 2.8297 0.0047 WOM < BL 0.43192 0.0458 9.4278 0.0000 q < Qua 0.42078 Nilai Lambda s < Sat 0.42194 Nilai Lambda bl < BL 0.57349 Nilai Lambda wom < WOM 0.92826 Nilai Lambda SEM.Structure q = (0.42078) Qua + (1) eq SEM.Structure s = (0.42194) Sat + (1) es SEM.Structure bl = (0.57349) BL + (1) ebl SEM.Structure wom = (0.92826) WOM + (1) ewom Wihandaru Sotya Pamungkas Composite Indicators 90
Tabel 4.5B Analisis Regresi Standardized Regression Weights Estimate Sat < Qua 0.87759 BL < Sat 0.21881 WOM < Sat 0.16517 WOM < BL 0.54281 q < Qua 0.91947 s < Sat 0.87504 bl < BL 0.92919 wom < WOM 0.94851 Wihandaru Sotya Pamungkas Composite Indicators 91
Tabel 4.5C Analisis Variances Variances Estimate S.E. C.R. P Qua 1.62302 0.15649 10.37157 0.00000 zsat 0.43537 0.1034 4.21055 0.00003 zbl 1.49405 0.14322 10.43209 0.00000 zwom 0.63472 0.06498 9.76836 0.00000 eq 0.05254 Nilai Epsilon es 0.10320 Nilai Epsilon ebl 0.08165 Nilai Epsilon ewom 0.09548 Nilai Epsilon SEM.Structure eq (0.05254) SEM.Structure es (0.10320) SEM.Structure eq (0.08165) SEM.Structure eq (0.09548) Wihandaru Sotya Pamungkas Composite Indicators 92
Tabel 4.6 Indeks Modifikasi Modification Indices Covariances: M.I. Par Change Variances: M.I. Par Change Regression Weights: M.I. Par Change Wihandaru Sotya Pamungkas Composite Indicators 93
Daftar Pustaka Byrne, Barbara M. (2001), Structural Equation Modeling with AMOS Basic Concepts, Applications and Programming, Lawrence Erlbaum Associates Inc, New Jersey. Ferdinand, Augusty (2002), Edisi 2, Structural Equation Modeling Dalam Penelitian Manajemen Aplikasi Modelmodel Rumit dalam Penelitian untuk Tesis Magister dan Disertasi Doktor, BP Universitas Diponegoro, Semarang. Ghozali, Imam (2004), Model Persamaan Struktural Konsep dan Aplikasi dengan Program AMOS versi 5.0, BP Universitas Diponegoro, Semarang. Purwanto, BM (2003), Materi Pelatihan Structural Equation Modeling, Universitas Muhammadiyah Surakarta, Surakarta. Wihandaru Sotya Pamungkas Composite Indicators 94
(2007), Materi Pelatihan Structural Equation Modeling, Universitas Gadjah Mada, Yogyakarta. Wihandaru Sotya Pamungkas Composite Indicators 95