The DOI matches its Crossref record.
Multiple Factor Analysis
Abstract
The purpose af factor analysis i s t o i d e n t i e the dimensions or factors by whicha variety of ghenmepa within a domain are related.Factorial methods were originally developed for the purpose of identifying the pr.hcipal dimensions or categories of mentality; bzrt the methods are general, so t h a t they.have been found useful .forother psychological -problem and i n other sciences as w e l l .Factor analS.sisi s not restricted by assumptions regarding the nature of the factors, whether they be .physiologicalor social, elemental or complex, correlqted or uncorrelated.Thu~, three programs W e been written which' factor analyze a s e t of measurements i n order that the underlying factors which r e l a t e the measurements ma;r be identified.These pxdgrams .
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The Scree Test For The Number Of Factors
Cattell, R. B. (1966) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr0102_10 · Cited by 13,554
Abdi, H., & Williams, L. J. (2010) · WIREs Computational Statistics · doi:10.1002/wics.101 · Cited by 11,104
Evaluating the use of exploratory factor analysis in psychological research.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.3.272 · Cited by 9,587
A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires
Hinkin, T. R. (1998) · Organizational Research Methods · doi:10.1177/109442819800100106 · Cited by 4,095
Exploratory and confirmatory factor analysis: Understanding concepts and applications.
Thompson, B. (2004) · doi:10.1037/10694-000 · Cited by 3,469
Metadata
- Venue
- Encyclopedia of Measurement and Statistics
- Publisher
- Sage Publications, Inc.
- Published
- 2007
- OpenAlex
- W2042122853
- Cited by
- 2,578
- References
- 0
- Type
- reference entry
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Multiple Factor Analysis. https://app.cochat.ai/papers/10.4135/9781412952644.n300
- The paper
- Multiple Factor Analysis. (2007). Encyclopedia of Measurement and Statistics. https://doi.org/10.4135/9781412952644.n300
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
