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.
Keywords
Exploratory factor analysisConfirmatory factor analysisRanking (information retrieval)PsychologyFactor analysisSet (abstract data type)Factor (programming language)Impact factorLatent variableStatisticsPsychometricsComputer scienceStructural equation modelingInformation retrievalMathematicsClinical psychology
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Publication Info
- Year
- 2020
- Type
- article
- Volume
- 14
- Issue
- 20
- Pages
- 20
- Citations
- 1611
- Access
- Closed
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Cite This
Christine DiStefano,
Min Zhu,
Diana Mîndrilă
(2020).
Understanding and Using Factor Scores: Considerations for the Applied Researcher.
Scholarworks (University of Massachusetts Amherst)
, 14
(20)
, 20.
https://doi.org/10.7275/da8t-4g52
Identifiers
- DOI
- 10.7275/da8t-4g52