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Cited by 1,614

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Understanding and Using Factor Scores: Considerations for the Applied Researcher

Open access
Christine DiStefano, Min Zhu, Diana Mîndrilă·2020

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.

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OpenAlex · 10.7275/da8t-4g52

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Metadata

Authors
DiStefano, C., Zhu, M., & Mîndrilă, D.
Publisher
University of Massachusetts Amherst
Published
2009
Volume
14
Issue
20
Pages
20
OpenAlex
W2138821455
Cited by
1,614
References
1
FWCI
89.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Understanding and Using Factor Scores: Considerations for the Applied Researcher. https://app.cochat.ai/papers/10.7275/da8t-4g52
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DiStefano, C., Zhu, M., & Mîndrilă, D. (2020). Understanding and Using Factor Scores: Considerations for the Applied Researcher. https://doi.org/10.7275/da8t-4g52

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.