· 2013· Book chapter
Aplikasi analisis multivariate dengan program IBM SPSS 21 update PLS regresi
- 1,476citations
- 2013year
Short summary
This book chapter introduces the application of multivariate analysis techniques using IBM SPSS 21, with a specific update on Partial Least Squares (PLS) regression.
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Key points
- Covers a wide array of multivariate analysis techniques including descriptive statistics, T-tests, ANOVA, ANCOVA, MANOVA, and various regression models.
- Includes detailed explanations of data screening, transformation, reliability, and validity testing.
- Features specific chapters on moderated regression analysis (MRA), path analysis, and the combined moderator-mediator model (MODMED).
- Provides an updated section on the application of Partial Least Squares (PLS) regression within the IBM SPSS 21 environment.
AI-generated from the title and abstract; the full text is not read.
Abstract
Daftar Isi: Bab1 : Skala Pengukuran dan Metode Analisis Data Bab 2: Pengenalan Program SPSS, Aplikasi Statistika Deskriptif dan Uji Beda T-Test Bab 3: Data Screening dan Transpormasi Data Bab 4: Uji Reliabilitas dan Validitas Suatu Konstruk Atau Konsep Bab 5: Uji Beda T-Test, Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), Dan Multiple Analysis of Variance (MANOVA) Bab 6: Analisis Regresi Bab 7: Uji Asumsi Klasik Bab 8: Regresi Dengan Uji Asumsi Klasik, Variabel Dummy dan Chow Test Bab 9: Model Regresi dengan Bentuk Fungsional Bab 10: Model Regresi Moderasi/Moderated Regression Analysis (MRA) Bab 11: Regresi Dengan Variabel Mediator Atau Intervening, Analisis Jalur Path (Path Analysis) Bab 12: Regresi Dengan Variabel Moderator dan Mediator (MODMED) Bab 13: Analisis Diskriminan Bab 14: Logistic Regression Bab 15: Korelasi Kanonikal (Canonical Correlation) Bab 16: Analisis Conjoin Bab 17: Analisis Faktor Bab 18: Analisis Kluster (Cluster Analysis) Bab 19: Regresi Partial Least Squares (PLS)
The authors' abstract, as published at the source., 2013 · DOI ↗
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