Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 7,580

The DOI matches its Crossref record.

The Varimax Criterion for Analytic Rotation in Factor Analysis

Kaiser, Henry F.·1958·Psychometrika

Abstract

An analytic criterion for rotation is defined. The scientific advantage of analytic criteria over subjective (graphical) rotational procedures is discussed. Carroll's criterion and the quartimax criterion are briefly reviewed; the varimax criterion is outlined in detail and contrasted both logically and numerically with the quartimax criterion. It is shown that the normal varimax solution probably coincides closely to the application of the principle of simple structure. However, it is proposed that the ultimate criterion of a rotational procedure is factorial invariance, not simple structure –although the two notions appear to be highly related. The normal varimax criterion is shown to be a two-dimensional generalization of the classic Spearman case, i.e., it shows perfect factorial invariance for two pure clusters. An example is given of the invariance of a normal varimax solution for more than two factors. The oblique normal varimax criterion is stated. A computational outline for the orthogonal normal varimax is appended.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/bf02289233

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

No references could be resolved yet.

Research works printed but not linked: 12

  1. [6] Kaiser, H. F. The varimax method of factor analysis. Unpublished doctoral dissertation, Univ. California, 1956.
  2. 10.1111/j.2044-8317.1954.tb00147.x · DOI
  3. Thomson, 1951, The factorial analysis of human ability
  4. Thurstone, 1947, Multiple-factor analysis
  5. 10.1002/j.2333-8504.1953.tb00890.x · DOI
  6. Thurstone, 1932, Theory of multiple factors
  7. Holzinger, 1941, Factor analysis
  8. Kaiser, 1955, An analytic rotational criterion for factor analysis, Amer. Psychologist, 10, 438
  9. 10.1037/t11410-000 · DOI
  10. 10.1007/BF02289089 · doi:10.1007/bf02289089
  11. 10.1007/BF02289025 · DOI
  12. 10.1007/BF02289228 · DOI

Cited by

Metadata

Authors
Kaiser, H. F.
Venue
Psychometrika
Published
1958-09
Volume
23
Issue
3
Pages
187-200
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W1997320786
Cited by
7,580
References
0
FWCI
40.89
Type
journal article
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

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.