Structural Equation Modeling Bagian 2 Pendekatan Satu Tahap Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 28
Bagian 2 Pendekatan Satu Tahap Sumber: BM Purwanto (2007) Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 29
Tabel 2.1 Goodness of Fit Model Fit Measure Default model Saturated Independence Chi square 94.305 Degrees of freedom 40 0 55 P 0.00000 0.00000 Number of parameters 26 66 11 Discrepancy / df 2.35761 31.15676 GFI 0.94629 1.00000 0.39700 Adjusted GFI 0.91137 0.27640 TLI 0.95498 0.00000 CFI 0.96726 1.00000 0.00000 RMSEA 0.06716 0.31653 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 30
Tabel 2.2 Uji Normalitas Assessment of normality Min Max Skew C.R. Kurtosis C.R. wom2 1 5 0.32551 2.30937 0.57453 2.03802 wom1 1 5 0.56030 3.97510 0.03165 0.11226 bl3 1 5 0.59548 4.22472 0.21961 0.77901 bl2 1 5 0.51441 3.64955 0.48190 1.70945 bl1 1 5 0.18787 1.33288 0.97030 3.44196 s3 1 5 0.56427 4.00326 0.14082 0.49952 s2 1 5 0.72646 5.15397 0.78208 2.77429 s1 1 5 0.24524 1.73988 0.54216 1.92320 q3 1 5 0.32802 2.32719 0.64094 2.27362 q2 1 5 0.63687 4.51836 0.38195 1.35488 q1 1 5 1.11165 7.88672 1.96383 6.96629 Multivariate 41.90456 21.53038 Cetak hijau tidak memenuhi normalitas Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 31
Tabel 2.3 Uji Outliers Observations farthest from the centroid (Mahalanobis distance) Observation number Mahalanobis d squared p1 p2 41 55.94534 0.00000 0.00002 94 44.44637 0.00001 0.00000 221 39.12179 0.00005 0.00000 224 37.11655 0.00011 0.00000 287 35.62732 0.00020 0.00000 84 34.46208 0.00030 0.00000 208 33.46741 0.00044 0.00000 206 32.92490 0.00054 0.00000 39 32.06829 0.00074 0.00000 141 29.75756 0.00173 0.00000 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 32
81 29.28430 0.00205 0.00000 46 28.87539 0.00237 0.00000 129 27.54693 0.00380 0.00000 226 27.46896 0.00390 0.00000 93 26.77935 0.00496 0.00000 88 26.54010 0.00539 0.00000 210 26.25464 0.00595 0.00000 156 26.16357 0.00614 0.00000 136 24.91688 0.00938 0.00000 264 23.74739 0.01384 0.00000 66 23.64735 0.01430 0.00000 121 23.47367 0.01514 0.00000 Cetak hijau terjadi outlier Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 33
Tabel 2.4A Analisis Regresi Regression Weights Estimate S.E. C.R. P Sat < Qua 0.95120 0.06875 13.83504 0.00000 BL < Sat 0.27028 0.07910 3.41669 0.00063 WOM < Sat 0.23589 0.07886 2.99130 0.00278 WOM < BL 0.65521 0.07870 8.32549 0.00000 q1 < Qua 1.00000 starting point q2 < Qua 1.11443 0.07679 14.51182 0.00000 q3 < Qua 1.03129 0.06624 15.57010 0.00000 s1 < Sat 1.00000 starting point s2 < Sat 0.75262 0.05896 12.76459 0.00000 s3 < Sat 0.83764 0.07401 11.31772 0.00000 bl1 < BL 1.00000 starting point bl2 < BL 1.26755 0.09909 12.79.197 0.00000 bl3 < BL 1.22444 0.09572 12.79165 0.00000 wom1 < WOM 1.00000 starting point wom2 < WOM 0.87069 0.08710 9.99669 0.00000 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 34
Starting point SEM.Structure ʺq1 = (1) Qua + (1) eq1ʺ SEM.Structure ʺs1 = (1) Sat + (1) es1ʺ SEM.Structure ʺbl1 = (1) BL + (1) ebl1ʺ SEM.Structure ʺwom1 = (1) WOM + (1) ewom1ʺ Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 35
Tabel 2.4B Analisis Regresi Standardized Regression Weights Estimate Sat < Qua 0.87713 BL < Sat 0.22810 WOM < Sat 0.17293 WOM < BL 0.56914 q1 < Qua 0.84133 q2 < Qua 0.76495 q3 < Qua 0.80994 s1 < Sat 0.84013 s2 < Sat 0.71615 s3 < Sat 0.64554 bl1 < BL 0.66173 bl2 < BL 0.89452 bl3 < BL 0.89442 wom1 < WOM 0.91981 wom2 < WOM 0.72452 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 36
1. Sat = Qua + zsat Sat = 0.87713 Qua 2. BL = Sat + zbl BL = 0.22810 Sat 3. WOM = Sat + BL + zwom WOM = 0.17293 Sat + 0.56914 BL Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 37
Tabel 2.4C Analisis Variances Variances Estimate S.E. C.R. P Qua 0.39825 0.04652 8.56177 0.00000 zsat 0.10802 0.02623 4.11880 0.00004 zbl 0.62336 0.10072 6.18883 0.00000 zwom 0.52402 0.08515 6.15427 0.00000 eq1 0.16438 0.02048 8.02647 0.00000 eq2 0.35066 0.03567 9.83026 0.00000 eq3 0.22210 0.02488 8.92838 0.00000 es1 0.19521 0.02742 7.11969 0.00000 es2 0.25197 0.02503 10.06520 0.00000 es3 0.45996 0.04259 10.79880 0.00000 ebl1 0.84411 0.07536 11.20175 0.00000 ebl2 0.26386 0.04645 5.68058 0.00000 ebl3 0.24649 0.04335 5.68556 0.00000 ewom1 0.15859 0.07376 2.15019 0.03154 ewom2 0.59794 0.07353 8.13232 0.00000 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 38
Tabel 2.5A Factor Score Weights Factor Score Weights Estimates wom2 wom1 bl3 bl2 bl1 Qua 0.00163 0.00706 0.00143 0.00139 0.00034 Sat 0.00468 0.02027 0.00412 0.00398 0.00098 BL 0.01236 0.05351 0.31818 0.30770 0.07588 WOM 0.15543 0.67304 0.04215 0.04077 0.01005 Tabel 2.5B Factor Score Weights Factor Score Weights Estimates s3 s2 s1 q3 q2 q1 Qua 0.04146 0.06800 0.11662 0.22031 0.15079 0.28865 Sat 0.11912 0.19537 0.33507 0.10570 0.07235 0.13849 BL 0.00151 0.00248 0.00425 0.00134 0.00092 0.00176 WOM 0.00585 0.00960 0.01647 0.00520 0.00356 0.00681 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 39
Tabel 2.6A Indeks Modifikasi Modification Indices Covariances: M.I. Par Change ebl3 < > ewom1 4.82303 0.05564 ebl2 < > Qua 5.73087 0.06102 ebl2 < > ewom1 5.15374 0.05953 ebl1 < > Qua 7.70005 0.10278 eq3 < > zsat 6.33796 0.03914 eq3 < > ebl3 4.04177 0.03948 eq3 < > ebl2 7.24876 0.05472 eq2 < > zsat 9.78488 0.05953 eq2 < > zbl 9.50680 0.09653 eq2 < > es1 12.70709 0.07167 eq1 < > zbl 4.64728 0.04997 eq1 < > es2 18.71200 0.06477 eq1 < > es1 7.17067 0.03953 eq1 < > eq3 5.62748 0.03331 eq1 < > eq2 6.07538 0.04263 Lihat bagian I Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 40
Tabel 2.6B Indeks Modifikasi Modification Indices Variances: M.I. Par Change Tabel 2.6C Indeks Modifikasi Modification Indices Regression Weights: M.I. Par Change bl2 < Qua 5.73087 0.15322 bl2 < q3 1.02090 0.15135 bl2 < q1 4.83050 0.11076 bl1 < Qua 7.70005 0.25809 bl1 < Sat 4.96196 0.19331 bl1 < q3 5.40351 0.15936 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 41
bl1 < q2 7.76394 0.16695 bl1 < q1 7.28585 0.19824 s2 < q1 5.56610 0.09854 q2 < BL 10.33632 0.15616 q2 < bl3 8.39674 0.09768 q2 < bl2 9.20573 0.09881 q2 < bl1 8.97317 0.09147 q2 < s1 5.78705 0.11051 q1 < BL 4.41902 0.07560 q1 < bl3 5.30083 0.05746 q1 < bl2 4.06916 0.04864 q1 < s2 7.58366 0.10609 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 42
Tabel 2.7A Uji Reliabilitas Konstruk Quality q1 q2 q3 Standardized Loading 0.84133 0.76495 0.80994 q ( Standardized Loading) 2 5.83812 Indicator Measurement Error 0.292164 0.414851 0.34400 (Indicator Measurement Error) 1.05101 Alpha Cronbach = (5.83812) /(5.83812+1.05101) = 0.84744 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 43
Tabel 2.7B Uji Reliabilitas Konstruk Satisfaction s1 s2 s3 Standardized Loading 0.84013 0.71615 0.64554 s ( Standardized Loading) 2 4.84801 Indicator Measurement Error 0.29418 0.48713 0.58328 (Indicator Measurement Error) 1.36459 Alpha Cronbach = (4.84801) /(4.84801+1.36459) = 0.78035 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 44
Tabel 2.7C Uji Reliabilitas Konstruk Brand Loyalty bl1 bl2 bl3 Standardized Loading 0.66173 0.89452 0.89442 bl ( Standardized Loading) 2 6.00578 Indicator Measurement Error 0.56211 0.19983 0.20001 (Indicator Measurement Error) 0.96196 Alpha Cronbach = (6.00578) /(6.00578+0.96196) = 0.86194 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 45
Tabel 2.7D Uji Reliabilitas Konstruk Word of Mouth wom1 wom2 Standardized Loading 0.91981 0.72452 wom ( Standardized Loading) 2 2.70382 Indicator Measurement Error 0.15395 0.47507 (Indicator Measurement Error) 0.62902 Alpha Cronbach = (2.70382) /(2.70382+0.62902) = 0.81127 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 46
Tabel 2.8A Variance Extracted Konstruk Quality q1 q2 q3 Standardized Loading 0.84133 0.76495 0.80994 q (Standardized Loading 2 ) 2.41622 Indicator Measurement Error 0.292164 0.414851 0.34400 (Indicator Measurement Error) 1.05101 Variance Extracted = (2.41622) /(2.41622+1.05101) = 0.69687 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 47
Tabel 2.8B Variance Extracted Konstruk Satisfaction s1 s2 s3 Standardized Loading 0.84013 0.71615 0.64554 s (Standardized Loading 2 ) 2.20182 Indicator Measurement Error 0.29418 0.48713 0.58328 (Indicator Measurement Error) 1.36459 Variance Extracted = (2.20182) /(2.20182+1.36459) = 0.61738 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 48
Tabel 2.8C Variance Extracted Konstruk Brand Loyalty bl1 bl2 bl3 Standardized Loading 0.66173 0.89452 0.89442 bl (Standardized Loading 2 ) 2.45067 Indicator Measurement Error 0.56211 0.19983 0.20001 (Indicator Measurement Error) 0.96196 Variance Extracted = (2.45067) /(2.45067+0.96196) = 0.71812 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 49
Tabel 2.8D Variance Extracted Konstruk Word of Mouth wom1 wom2 Standardized Loading 0.91981 0.72452 wom (Standardized Loading 2 ) 1.64433 Indicator Measurement Error 0.15395 0.47507 (Indicator Measurement Error) 0.62902 Variance Extracted = (1.64433) /(1.64433+0.62902) = 0.72331 Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 50
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 Univeritas 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 Pendekatan Satu Tahap 51
(2007), Materi Pelatihan Structural Equation Modeling, Universitas Gadjah Mada, Yogyakarta. Wihandaru Sotya Pamungkas Pendekatan Satu Tahap 52