Estimating and Comparing Specific Mediation Effects in Complex Latent Variable Models
Datos Bibliográficos
| ID | 23326271 |
|---|---|
| Autores | Rebecca S Lau (0000-0001-5081-4086, Department of Management, The Open University of Hong Kong, Ho Man Tin, Hong Kong), Gordon W Cheung (0000-0002-0172-847X, Department of Management, The Chinese University of Hong Kong, Shatin, Hong Kong, autor de correspondencia) |
| Año | 2012 |
| Volumen | 15 |
| Número | 1 |
| Páginas | 3-16 |
| Fecha de publicación | 2012-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Organizational Research Methods (JOURNAL) |
| Identificadores de la revista | ISSN: 1094-4281 • E-ISSN: 1552-7425 |
| Editorial | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/1094428110391673 |
| OpenAlex | W2110215337 |
| Idioma | EN |
| Citas recibidas | 90 |
| Referencias citadas | 19 |
This teaching note starts with a demonstration of a straightforward procedure using M plus Version 6 to produce a bias-corrected (BC) bootstrap confidence interval for testing a specific mediation effect in a complex latent variable model. The procedure is extended to constructing a BC bootstrap confidence interval for the difference between two specific mediation effects. The extended procedure not only tells whether the strengths of any direct and mediation effects or any two specific mediation effects in a latent variable model are significantly different but also provides an estimate and a confidence interval for the difference. However, the M plus procedures do not allow the estimation of a BC bootstrap confidence interval for the difference between two standardized mediation effects. This teaching note thus demonstrates the LISREL procedures for constructing BC confidence intervals for specific standardized mediation effects and for comparing two standardized mediation effects. Finally, procedures combining M plus and PRELIS are demonstrated for constructing BC bootstrap confidence intervals for the difference between the between-part and within-part path coefficients in multilevel models and for examining models with interactions of latent variables.
Cognitive psychology · Econometrics · Latent variable · Latent variable model · Mediation · Sociology · Statistics · Structural equation modeling · Variable (mathematics) · Advanced Causal Inference Techniques · Mathematics · Psychology · Psychometric Methodologies and Testing · Qualitative Comparative Analysis Research · Social Psychology
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| Obras citantes distintas | 90 |
|---|---|
| Citas por año | 6,43 |
| Intervalo de citas | 2012 - 2026 (15) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 86 |