Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables
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Polychoric correlation is appropriate for ordinal Likert scale data.
“We adopted polychoric correlation because the scale is ordinal on a Likert scale from 1 to 5 (Holgado-Tello et al., 2010)”
From Measuring undergraduate students’ reliance on generative AI during problem-solving: Scale development and validation. (2025) · cites this paper as Holgado-Tello et al., 2010
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- Authors
- Holgado–Tello, F. P., Chacón–Moscoso, S., Barbero–García, I., & Vila–Abad, E.
- Venue
- Quality & Quantity
- Published
- 2008-09-07
- Volume
- 44
- Issue
- 1
- Pages
- 153-166
- ISSN
- 0033-5177 (ISSN-L)
- 1573-7845
- OpenAlex
- W2080218231
- Cited by
- 1,200
- References
- 0
- Citations by year
- 2026: 144 · 2025: 101 · 2024: 85 · 2023: 88 · 2022: 96 · 2021: 115 · 2020: 94 · 2019: 92 · 2018: 80 · 2017: 68 · 2016: 55 · 2015: 64 · 2014: 48 · 2013: 23 · 2012: 20
- FWCI
- 11.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Quality & Quantity (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- polychoric correlation, Pearson correlation, ordinal data, Likert scale, exploratory factor analysis, confirmatory factor analysis, construct validity, measurement model, simulation study
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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