Topic
Exploratory factor analysis
About: Exploratory factor analysis is a research topic. Over the lifetime, 9311 publications have been published within this topic receiving 248406 citations.
Papers published on a yearly basis
1 / 2
Papers
Book•
1 Jan 2006TL;DR: In this article, the authors present a detailed, worked-through example drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology.
Abstract: "With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website offers data and program syntax files for most of the research examples, as well as links to CFA-related resources. New to This Edition *Updated throughout to incorporate important developments in latent variable modeling. *Chapter on Bayesian CFA and multilevel measurement models. *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. *Utilizes the latest versions of major latent variable software packages"--
14,450 citations
TL;DR: Practical information on making decisions regarding (a) extraction, (b) rotation, (c) the number of factors to interpret, and (d) sample size is provided.
Abstract: Exploratory factor analysis (EFA) is a complex, multi-step process. The goal of this paper is to collect, in one article, information that will allow researchers and practitioners to understand the various choices available through popular software packages, and to make decisions about ”best practices” in exploratory factor analysis. In particular, this paper provides practical information on making decisions regarding (a) extraction, (b) rotation, (c) the number of factors to interpret, and (d) sample size.
10,759 citations
TL;DR: This paper reviewed the major design and analytical decisions that must be made when conducting exploratory factor analysis and notes that each of these decisions has important consequences for the obtained results, and the implications of these practices for psychological research are discussed.
Abstract: Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each of these decisions has important consequences for the obtained results. Recommendations that have been made in the methodological literature are discussed. Analyses of 3 existing empirical data sets are used to illustrate how questionable decisions in conducting factor analyses can yield problematic results. The article presents a survey of 2 prominent journals that suggests that researchers routinely conduct analyses using such questionable methods. The implications of these practices for psychological research are discussed, and the reasons for current practices are reviewed.
8,797 citations
Journal Article•
TL;DR: In this paper, the authors collect, in one article, information that will allow researchers and practitioners to understand the various choices available through popular software packages, and to make decisions about "best practices" in exploratory factor analysis.
Abstract: Exploratory factor analysis (EFA) is a complex, multi-step process. The goal of this paper is to collect, in one article, information that will allow researchers and practitioners to understand the various choices available through popular software packages, and to make decisions about ”best practices” in exploratory factor analysis. In particular, this paper provides practical information on making decisions regarding (a) extraction, (b) rotation, (c) the number of factors to interpret, and (d) sample size.
7,936 citations
Book•
8 Dec 1993
TL;DR: The use and Abuse of Factor Analysis in Research References Index is illustrated with examples from Personality Tests and a comparison of the use and abuse of factor analysis in the context of clinical trials.
Abstract: List of Figures and Tables 1. A General Description of Factor Analysis 2. Statistical Terms and Concepts 3. Principal Components Analysis 4. Other Methods of Factor Analysis 5. Rotation of Factors 6. Confirmatory Factor Analysis and Path Analysis 7. The Interpretation and Use of Factor Analysis: Examples from Personality Tests 8. Factor Analysis in Test Construction 9. Factor Analysis in a Wider Context 10. Interpreting Confirmatory and Path Analyses 11. Summary and Conclusions: The Use and Abuse of Factor Analysis in Research References Index
4,193 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2026 | 2 |
| 2025 | 542 |
| 2024 | 915 |
| 2023 | 1,746 |
| 2022 | 2,901 |
| 2021 | 1,087 |