ISBN : 9781032246697
Author : G. David Garson
Publisher : Routledge
Year : 2023
Language : English
Type : Book
Description : PART I: MULTIVARIATE ANALYSIS OF FACTORS AND COMPONENTS Chapter 1: Factor Analysis: Purposes and Research Questions Chapter 2: Dealing with the Assumptions and Limitations of Factor Analysis Chapter 3: Fundamental Concepts and Functions in Factor Analysis Chapter 4: Quick Start: Principal Axis Factoring (FA) in R Chapter 5: Quick Start: Confirmatory Factor Analysis in R Chapter 6. Quick Start: Principal Components Analysis (PCA) in R Chapter 7: Oblique and Higher Order Factor Models Chapter 8: Factor Analysis for Binary, Ordinal, and Mixed Data Chapter 9: FA in Greater Detail Chapter 10: PCA in Greater Detail PART II: ADDITIONAL TOOLS FOR DIMENSION REDUCTION Chapter 11: Sixteen Additional Methods for Dimension Reduction (DimRed) Chapter 12: Metrics for Comparing and Evaluating Dimension Reduction Models Chapter 13: Recipes: An Alternative System for Dimension Reduction Chapter14: Factor Analysis for Neural Models Chapter 15: Factor Analysis for Time Series Data APPENDICES I. Datasets used in this volume 2. Introduction to R and RStudio