Exploratory factor analysis ( Vol. 182 )
Finch, W. Holmes
Exploratory factor analysis ( Vol. 182 ) - Thousand Oaks Sage 2020 - 125p. - Quantitative applications in the social sciences Vol. 182 .
Table of Contents: 1. Introduction to Factor Analysis 2. Mathematical Underpinnings of Factor Analysis 3. Methods of Factor Extraction in Exploratory Factor Analysis 4. Methods of Factor Rotation 5. Methods for Determining the Number of Factors to Retain in Exploratory Factor Analysis 6. Final Issues in Factor Analysis
Exploratory Factor Analysis provides a solid foundation in exploratory factor analysis, which along with confirmatory factor analysis, represents one of the two major strands in this field. This book lays out the mathematical foundations of exploratory factor analysis; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in exploratory factor analysis. The concluding chapter addresses a number of other key issues in exploratory factor analysis, such as determining the appropriate sample size for a given research problem, and the handling of missing data. It also offers brief introductions to exploratory structural equation modeling, and multilevel models for exploratory factor analysis.
9781544339887
Social sciences - Mathematical models
Exploratory factor analysis
519.5 / FIN
Exploratory factor analysis ( Vol. 182 ) - Thousand Oaks Sage 2020 - 125p. - Quantitative applications in the social sciences Vol. 182 .
Table of Contents: 1. Introduction to Factor Analysis 2. Mathematical Underpinnings of Factor Analysis 3. Methods of Factor Extraction in Exploratory Factor Analysis 4. Methods of Factor Rotation 5. Methods for Determining the Number of Factors to Retain in Exploratory Factor Analysis 6. Final Issues in Factor Analysis
Exploratory Factor Analysis provides a solid foundation in exploratory factor analysis, which along with confirmatory factor analysis, represents one of the two major strands in this field. This book lays out the mathematical foundations of exploratory factor analysis; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in exploratory factor analysis. The concluding chapter addresses a number of other key issues in exploratory factor analysis, such as determining the appropriate sample size for a given research problem, and the handling of missing data. It also offers brief introductions to exploratory structural equation modeling, and multilevel models for exploratory factor analysis.
9781544339887
Social sciences - Mathematical models
Exploratory factor analysis
519.5 / FIN