How the power of Manova can both increase and decrease as a function of the intercorrelations among the dependent variables
Dados Bibliográficos
| ID | 7983192 |
|---|---|
| Autores | David A Cole (0000-0002-7535-1230, University of Notre Dame), Scott E Maxwell (0000-0001-8067-7027, University of Notre Dame), Richard D Arvey, Richard Arvey, Eduardo Salas (0000-0002-5448-4958, Naval Air Warfare Center Training Systems Division) |
| Ano | 1994 |
| Volume | 115 |
| Fascículo | 3 |
| Páginas | 465-474 |
| Data de publicação | 1994-05-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Psychological Bulletin (JOURNAL) |
| Identificadores do periódico | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Editora | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0033-2909.115.3.465 |
| OpenAlex | W2078987134 |
| Idioma | EN |
| Citações recebidas | 10 |
| Referências citadas | 8 |
This article directly addresses explicit contradictions in the literature regarding the relation between the power of multivariate analysis of variance (MANOVA) and the intercorrelations among the dependent variables. Artificial data sets, as well as analytical methods, revealed that (a) power increases as correlations between dependent variables with large consistent effect sizes (that are in the same direction) move from near 1.0 toward - 1.0, (b) power increases as correlations become more positive or more negative between dependent variables that have very different effect sizes (i.e., one large and one negligible), and (c) power increases as correlations between dependent variables with negligible effect sizes shift from positive to negative (assuming that there are dependent variables with large effect sizes still in the design)
Biology · Developmental psychology · Econometrics · Evolutionary biology · Function (biology) · Mathematical analysis · Multivariate analysis of variance · Physics · Power (physics) · Power function · Sociology · Statistics · Thermodynamics · Advanced Statistical Methods and Models · Demography · Mathematics · Psychology · Sensory Analysis and Statistical Methods · Statistical Methods and Applications
Toward a greater understanding of the emotional dynamics of the mortality salience manipulation
Isolating the effects of the cognitive interview techniques
Comparing Groups with Multiple Dependent Variables
Statistical Power Analysis
Caregiver Mental Health Across Generations
Cyberbullying Victimization and Perpetration in South Korean Youth
Acquisition of the concept of teaching and its relationship with theory of mind in French 3- to 6-year olds
Power and Type I Error Control for Univariate Comparisons in Multivariate Two-Group Designs
Application of Random Effects Models and Other Methods to the Analysis of Multidimensional Quality of Life Data in an Aids Clinical Trial
A robust effect size measure Aw for Manova with non-normal and non-homogenous data
Applied Multivariate Statistics for the Social Sciences
Dependent variable reliability and the power of significance tests
Note on the reliability of experimental measures and the power of significance tests
Power of the multivariate analysis of variance tests
Multivariate analysis versus multiple univariate analyses
The moderator-mediator variable distinction in social psychological research
Unreliability of difference scores
Experimental desensitization of phobia
| Obras citantes distintas | 10 |
|---|---|
| Citações por ano | 0,34 |
| Intervalo de citações | 1997 - 2026 (30) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 8 |