A Note on Procrustean Rotation in Exploratory Factor Analysis
A Computer Intensive Approach to Goodness-of-Fit Evaluation
Bibliographic Data
| ID | 20472055 |
|---|---|
| Authors | Tenko Raykov (0000-0002-8911-5116, Fordham University), Todd D Little (0000-0002-4146-4712, Max Planck Institute for Human Development and Education) |
| Year | 1999 |
| Volume | 59 |
| Issue | 1 |
| Pages | 47-57 |
| Publication date | 1999-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0013164499591004 |
| OpenAlex | W2043414260 |
| Language | EN |
| Citations received | 2 |
| References cited | 12 |
A method for evaluating results of Procrustean rotation to a target factor pattern matrix in exploratory factor analysis is described. The approach is based on the bootstrap methodology. The method yields empirical approximations of the sampling distributions of (a) the differences between corresponding elements of the target and rotated factor pattern matrices and (b) the overall least-squares fit measure assessing similarity between the two matrices. The method is demonstrated on a simulated data set
Chromatography · Exploratory factor analysis · Factor (programming language) · Factor analysis · Geometry · Goodness of fit · Matrix (chemical analysis) · Psychometrics · Rotation (mathematics) · Set (abstract data type) · Similarity (geometry) · Statistics · Advanced Statistical Modeling Techniques · Artificial Intelligence · Computer Science · Mathematics · Optimal Experimental Design Methods · Sensory Analysis and Statistical Methods
An Introduction to the Bootstrap
The Jackknife, the Bootstrap and Other Resampling Plans
An Introduction to the Bootstrap
A Generalized Solution of the Orthogonal Procrustes Problem
Testing Structural Equation Models
Factor Analytic Evidence for the Construct Validity of Scores
Evaluating replicability of factors in the Revised NEO Personality Inventory
Discriminant analysis
| Unique citing works | 2 |
|---|---|
| Citations per year | 0.2 |
| Citation span | 2016 - 2022 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |