Interpréter l’interaction de variables latentes : une exemplification méthodologique de la méthode graphique Johnson-Neyman
Author:
Affiliation:
1. Professeure, Université du Québec à Trois-Rivières
2. Professeur, Université de Montréal
3. Professeur, Université du Québec à Trois-Rivières
4. Professeur, Université TÉLUQ
Abstract
Publisher
Consortium Erudit
Reference49 articles.
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2. Aguinis, H. (1995). Statistical power problems with moderated multiple regression in management research. Journal of management research, 21(6), 1141-1158. https://doi.org/10.1016/0149-2063(95)90026-8
3. Ames, C. et Archer, J. (1988). Achievement goals in the classroom: Students’ learning strategies and motivation processes. Journal of educational psychology, 80(3), 260-267. https://doi.org/10.1037/0022-0663.80.3.260
4. Barrett, J. P. (1974). The coefficient of determination − Some limitations. The American statistician, 28(1), 19-20. https://doi.org/10.1080/00031305.1974.10479056
5. Bauer, D. J. et Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate behavioral research, 40(3), 373-400. https://doi.org/10.1207/s15327906mbr4003_5
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