Magister Manajemen Univ. Muhammadiyah Yogyakarta

Transkripsi

1 Structural Equation Modeling Bagian 4 Pendekatan Dua Tahap Dengan Composite Indicators Wihandaru Sotya Pamungkas Composite Indicators 83

2 Bagian 4 Pendekatan Dua Tahap Dengan Composite Indicators Sumber: BM Purwanto (2007) Wihandaru Sotya Pamungkas Composite Indicators 84

3 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 Satisfaction Brand Loyalty Word of Mouth Wihandaru Sotya Pamungkas Composite Indicators 85

4 Tabel 4.2 Goodness of Fit Model Fit Measure Default model Saturated Independence Chi squares Degrees of freedom P Number of parameters Discrepancy / df GFI Adjusted GFI TLI CFI RMSEA Wihandaru Sotya Pamungkas Composite Indicators 86

5 Tabel 4.3 Uji Normalitas Assessment of normality min max Skew C.R. Kurtosis C.R. wom bl s q Multivariate Cetak hijau tidak memenuhi normalitas Wihandaru Sotya Pamungkas Composite Indicators 87

6 Tabel 4.4 Uji Outliers Observations farthest from the centroid (Mahalanobis distance) Observation number Mahalanobis d squared p1 p Wihandaru Sotya Pamungkas Composite Indicators 88

7 Cetak hijau terjadi outlier Wihandaru Sotya Pamungkas Composite Indicators 89

8 Tabel 4.5A Analisis Regresi Regression Weights Estimate S.E. C.R. P Sat < Qua BL < Sat WOM < Sat WOM < BL q < Qua Nilai Lambda s < Sat Nilai Lambda bl < BL Nilai Lambda wom < WOM Nilai Lambda SEM.Structure q = ( ) Qua + (1) eq SEM.Structure s = ( ) Sat + (1) es SEM.Structure bl = ( ) BL + (1) ebl SEM.Structure wom = ( ) WOM + (1) ewom Wihandaru Sotya Pamungkas Composite Indicators 90

9 Tabel 4.5B Analisis Regresi Standardized Regression Weights Estimate Sat < Qua BL < Sat WOM < Sat WOM < BL q < Qua s < Sat bl < BL wom < WOM Wihandaru Sotya Pamungkas Composite Indicators 91

10 Tabel 4.5C Analisis Variances Variances Estimate S.E. C.R. P Qua zsat zbl zwom eq Nilai Epsilon es Nilai Epsilon ebl Nilai Epsilon ewom Nilai Epsilon SEM.Structure eq ( ) SEM.Structure es ( ) SEM.Structure eq ( ) SEM.Structure eq ( ) Wihandaru Sotya Pamungkas Composite Indicators 92

11 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

12 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

13 (2007), Materi Pelatihan Structural Equation Modeling, Universitas Gadjah Mada, Yogyakarta. Wihandaru Sotya Pamungkas Composite Indicators 95