Description
| Product ID: | 9781544339887 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | Quantitative Applications in the Social Sciences |
| Title: | Exploratory Factor Analysis |
| Authors: | Author: Holmes Finch |
| Page Count: | 144 |
| Subjects: | Research methods: general, Research methods: general, Social research and statistics, Psychological methodology, Social research & statistics, Psychological methodology |
| Description: | Select Guide Rating A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. This volume provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; 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 EFA. The concluding chapter addresses a number of other key issues in EFA, 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 EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website. A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory Factor Analysis by W. Holmes Finch provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; 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 EFA. The concluding chapter addresses a number of other key issues in EFA, 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 EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website. |
| Imprint Name: | SAGE Publications Inc |
| Publisher Name: | SAGE Publications Inc |
| Country of Publication: | GB |
| Publishing Date: | 2019-12-03 |
