· 2020
Understanding and Using Factor Scores: Considerations for the Applied Researcher
- 1,633citations
- 2020year
Short summary
This article clarifies how to compute and use factor scores, which represent an individual's placement on factors identified via exploratory factor analysis, discussing refined and non-refined methods.
AI-generated from the title and abstract; the full text is not read.
Key points
- Factor scores are composite variables representing an individual's placement on factors derived from exploratory factor analysis.
- Methods for computing factor scores are divided into 'refined' and 'non-refined' classes.
- The article discusses the strengths and considerations for various factor score computation methods.
- Guidance is provided on the general use of factor scores in subsequent statistical analyses.
AI-generated from the title and abstract; the full text is not read.
Abstract
Following an exploratory factor analysis, factor scores may be computed and used in subsequent analyses. Factor scores are composite variables which provide information about an individual's placement on the factor(s). This article discusses popular methods to create factor scores under two different classes: refined and non-refined. Strengths and considerations of the various methods, and for using factor scores in general, are discussed. Accessed 118,299 times on https://pareonline.net from October 26, 2009 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
The authors' abstract, as published at the source., 2020 · DOI ↗
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Field: Computer Networks and Communications
Computer Networks and CommunicationsComputer Science