Applications of standard error estimates in unrestricted factor analysis
Significance tests for factor loadings and correlations
Bibliographic Data
| ID | 4420459 |
|---|---|
| Authors | Robert Cudeck (University of Minnesota), Lisa L O''Dell, Lisa L O'Dell |
| Year | 1994 |
| Volume | 115 |
| Issue | 3 |
| Pages | 475-487 |
| Publication date | 1994-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Bulletin (JOURNAL) |
| Journal identifiers | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0033-2909.115.3.475 |
| PMID | 8016288 |
| OpenAlex | W2031999671 |
| Language | EN |
| Citations received | 64 |
| References cited | 13 |
Estimates of standard errors of factor loadings and factor correlations in the unrestricted factor analysis model can be computed for oblique or orthogonal solutions under maximum likelihood. This information can be used to test individual coefficients for significance, to evaluate whether an orthogonal or oblique structure is most consistent with sample data, or to compute confidence intervals for single parameters or confidence regions for arbitrary groups of coefficients. Because the number of parameters estimated in factor analysis is approximately the product of number of variables multiplied by number of factors, a Bonferroni correction for the critical point of the individual test statistics is recommended to control the probability of a Type I error. Several examples are presented
Bonferroni correction · Confidence interval · Econometrics · Factor (programming language) · Factor analysis · Oblique case · Standard error · Statistical hypothesis testing · Statistics · Type I and type II errors · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Optimal Experimental Design Methods · Psychology · Psychometric Methodologies and Testing
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Automated Fitting of Nonstandard Models
Approximating Confidence Intervals for Factor Loadings
Statistical methods in factor analysis
Analysis of correlation matrices using covariance structure models
Primary Mental Abilities
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| Unique citing works | 58 |
|---|---|
| Citations per year | 2,37 |
| Citation span | 1999 - 2026 (28) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 55 |