Factorial Invariance in Multiple Populations
A Multiple Testing Procedure
Dados Bibliográficos
| ID | 20282986 |
|---|---|
| Autores | Tenko Raykov (0000-0002-8911-5116, Michigan State University, East Lansing, MI, USA), George A Marcoulides (University of California at Riverside, Riverside, CA, USA), Roger E Millsap (0000-0002-9417-2860, Arizona State University, Tempe, AZ, USA) |
| Ano | 2013 |
| Volume | 73 |
| Fascículo | 4 |
| Páginas | 713-727 |
| Data de publicação | 2013-08-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Educational and Psychological Measurement (JOURNAL) |
| Identificadores do periódico | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Editora | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013164412451978 |
| OpenAlex | W1988316560 |
| Idioma | EN |
| Citações recebidas | 25 |
| Referências citadas | 13 |
A multiple testing method for examining factorial invariance for latent constructs evaluated by multiple indicators in distinct populations is outlined. The procedure is based on the false discovery rate concept and multiple individual restriction tests and resolves general limitations of a popular factorial invariance testing approach. The discussed method controls the overall significance level and is associated with higher power than conventional multiple testing procedures. The procedure avoids the necessity to choose a reference variable in applications of latent variable modeling for testing factorial invariance. The outlined method permits location of factorial invariance violations, in addition to its examination for a given set of construct indicators, and is illustrated with a numerical example
Confirmatory factor analysis · Construct (python library) · Econometrics · Factorial · Factorial experiment · Latent variable · Latent variable model · Measurement invariance · Set (abstract data type) · Statistical hypothesis testing · Statistics · Structural equation modeling · Variable (mathematics) · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Optimal Experimental Design Methods · Statistical Methods in Clinical Trials
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| Obras citantes distintas | 25 |
|---|---|
| Citações por ano | 2,08 |
| Intervalo de citações | 2014 - 2025 (12) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 24 |