The DOI matches its Crossref record.
An Analytical Method for Simple Structure
Abstract
One of the most difficult parts of multiple-factor analysis for the student to learn is the rotation of the coordinate axes to simple structure. The complete graphical methods have been the most dependable. The work of interpreting these diagrams is not only tedious but it requires the development of a skill that many otherwise competent students are unable to master. The writer has tried many times to develop an analytical method which would eliminate the graphical methods of successive approximation. The method to be described here seems at last to be successful and practically feasible. It is equally applicable to unimodal and bimodal hyperplanes so that no restrictive assumptions need to be made about the positive or negative signs of the factorial components.
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Research works printed but not linked: 2
- 10.1007/BF02288895 · DOI
- Thurstone, 1947, Multiple-factor analysis
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“In their points of contention, they noted that the target model contained numerous departures from desired simple structure (Thurstone 1954) via the specification of an intermediary factor as well as a host of cross ‐ loadings of subtests on multiple latent factors.”
Metadata
- Authors
- Thurstone, L. L.
- Corresponding author
- Thurstone, L. L.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1954-09
- Volume
- 19
- Issue
- 3
- Pages
- 173-182
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2050657606
- Cited by
- 68
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 1 · 2022: 3 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 5 · 2017: 2 · 2016: 3 · 2014: 2 · 2013: 1
- FWCI
- 5.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychometrika (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
- Social Sciences › Education › Educational Assessment and Pedagogy
- Keywords
- factor rotation, multiple factor analysis, successive approximations
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