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The Scree Test For The Number Of Factors
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(1966). The Scree Test For The Number Of Factors. Multivariate Behavioral Research: Vol. 1, No. 2, pp. 245-276.
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“we observed the scree in the scree plot at three factors; thus corresponding to our hypothesized three-factor model of CBE.”
From Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation (2014) · cites this paper as Cattell 1966
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Some necessary conditions for common-factor analysis
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Cross, W. F., Pisani, A. R., Schmeelk-Cone, K., Xia, Y., Tu, X., McMahon, M., Munfakh, J. L., & Gould, M. S. (2014) · Crisis · doi:10.1027/0227-5910/a000253 · Cited by 40
Brown, C. M., Attwood, T., Garnett, M., & Stokes, M. A. (2020) · Autism in Adulthood · doi:10.1089/aut.2019.0054 · Cited by 39
Metadata
- Authors
- Cattell, R. B.
- Corresponding author
- Cattell, Raymond B.
- Venue
- Multivariate Behavioral Research
- Publisher
- Informa UK Limited
- Published
- 1966-04
- Volume
- 1
- Issue
- 2
- Pages
- 245-276
- ISSN
- 0027-3171 (ISSN-L)
- 1532-7906
- OpenAlex
- W2133097426
- Cited by
- 13,554
- References
- 1
- Citations by year
- 2026: 443 · 2025: 554 · 2024: 528 · 2023: 572 · 2022: 625 · 2021: 761 · 2020: 665 · 2019: 629 · 2018: 554 · 2017: 590 · 2016: 571 · 2015: 582 · 2014: 587 · 2013: 572 · 2012: 538
- FWCI
- 12.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Multivariate Behavioral Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- scree test, number of factors, factor analysis, factor retention, eigenvalues
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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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