embahasan: Bab 1: Skala Pengukuran dan Metode Analisis Data Bab 2: Pengnalan Program SPSS, Aplikasi Statistik Deskriptif dan Crosstab. Bab 3: Data Screening dan Transformasi data Bab 4: Uji Validitas dan Reliabilitas Suatu Konstruk Bab 5: Uji Beda, ANOVA, ANCOVA dan MANOVA Bab 6: Analisis Regresi Bab 7: Uji Asumsi Klasik Bab 8: Regresi dengan Asumsi Klasik, Variabel Dummy dan Chow test Bab 9: Model Regresi dengan Bentuk Fungsional Bab 10: Analisis Regresi Moderasi Bab 11: Regresi dengan Variabel Mediator Bab 12: Regresi dengan Variabel Moderator Bab 13: Analisis Diskriminan Bab 14: Logistic Regression Bab 15: Korelasi Kanonikal Bab 16: Analisis Conjoint Bab 17: Analisis Faktor Bab 18: Analisis Kluster Bab 19: Multidimensional Scaling Bab 20 : Loglinear Analisis
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