Magister Manajemen Univ. Muhammadiyah Yogyakarta

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Wihandaru Sotya Pamungkas _{Pendekatan Satu Tahap} 28

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Sumber: BM Purwanto (2007)

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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

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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 Æ_Cetak hijauÆ_{tidak memenuhi normalitas}

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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

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Wihandaru Sotya Pamungkas _{Pendekatan Satu Tahap} 33 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

Æ Cetak hijau Æ terjadi outlier

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Wihandaru Sotya Pamungkas _{Pendekatan Satu Tahap} 34 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 Å 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 Å 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 Å 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 Å starting point

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_Å

_{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

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Wihandaru Sotya Pamungkas _{Pendekatan Satu Tahap} 36 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

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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

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Wihandaru Sotya Pamungkas _{Pendekatan Satu Tahap} 38 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

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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

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Wihandaru Sotya Pamungkas _{Pendekatan Satu Tahap} 40 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 Æ Lihat bagian I

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Tabel 2.6B

Indeks

Modifikasi

Variances: M.I. Par Change

Tabel 2.6C

Indeks

Modifikasi

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

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Wihandaru Sotya Pamungkas _{Pendekatan Satu Tahap} 42 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

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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

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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

Alpha Cronbach = (4.84801)/(4.84801+1.36459) = 0.78035

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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

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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

Alpha Cronbach = (2.70382)/(2.70382+0.62902) = 0.81127

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Tabel 2.8A

Variance Extracted

Konstruk

Quality

q1 q2 q3 Standardized Loading 0.84133 0.76495 0.80994 q ∑ (Standardized Loading2) 2.41622 Indicator Measurement Error 0.292164 0.414851 0.34400

Variance Extracted = (2.41622)/(2.41622+1.05101) = 0.69687

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Tabel 2.8B

Variance Extracted

Konstruk

Satisfaction

s1 s2 s3 Standardized Loading 0.84013 0.71615 0.64554 s ∑ (Standardized Loading2) 2.20182 Indicator Measurement Error 0.29418 0.48713 0.58328

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Tabel 2.8C

Variance Extracted

Konstruk

Brand Loyalty

bl1 bl2 bl3 Standardized Loading 0.66173 0.89452 0.89442 bl ∑ (Standardized Loading2) 2.45067 Indicator Measurement Error 0.56211 0.19983 0.20001

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Tabel 2.8D

Variance Extracted

Konstruk

Word of Mouth

wom1 wom2

Standardized Loading 0.91981 0.72452 wom

∑ (Standardized Loading2) 1.64433

Indicator

Measurement Error 0.15395 0.47507

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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 Model‐

model 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.

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____________ (2007), Materi Pelatihan Structural Equation