Journal of Black Psychology· 2018Q1
Exploratory Factor Analysis: A Guide to Best Practice
- 2,114citations
- Q1SCImago
- 2018year
Short summary
This article provides a systematic, evidence-based guide to conducting Exploratory Factor Analysis (EFA), addressing common methodological errors and offering best practices for researchers.
AI-generated from the title and abstract; the full text is not read.
Key points
- Exploratory Factor Analysis (EFA) is a fundamental multivariate statistical method for theory and measurement development in psychology.
- Reviews indicate frequent injudicious methodological choices and incomplete reporting in EFA applications.
- The article presents a systematic, evidence-based guide to EFA conduct.
- The guide is designed for researchers with modest statistical training and includes an illustrative example.
AI-generated from the title and abstract; the full text is not read.
Abstract
Exploratory factor analysis (EFA) is a multivariate statistical method that has become a fundamental tool in the development and validation of psychological theories and measurements. However, researchers must make several thoughtful and evidence-based methodological decisions while conducting an EFA, and there are a number of options available at each decision point, some better than others. Reviews of the professional literature have consistently found that many applications of EFA are marked by an injudicious choice of methods and incomplete reports. This article provides a systematic, evidence-based guide to the conduct of EFA studies that can be followed by researchers with modest statistical training, supplemented with an example to illustrate its application.
The authors' abstract, as published at the source. Journal of Black Psychology, 2018 · DOI ↗
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Field: Computer Networks and Communications
Computer Networks and CommunicationsComputer Science