· 2018
Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25
- 11,019citations
- 2018year
Short summary
This paper outlines a comprehensive guide to applying various multivariate statistical analysis techniques using IBM SPSS 25.
AI-generated from the title and abstract; the full text is not read.
Key points
- Covers data screening, descriptive statistics, and crosstabulation.
- Explains validity, reliability, and various inferential tests (t-tests, ANOVA, MANOVA).
- Details multiple regression, discriminant analysis, and logistic regression.
- Includes advanced topics like factor analysis, cluster analysis, and conjoint analysis.
AI-generated from the title and abstract; the full text is not read.
Abstract
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
The authors' abstract, as published at the source., 2018 · DOI ↗
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Field: Strategy and Management
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