Abstracts
Résumé
De nombreux chercheurs en psychométrie soutiennent que le coefficient alpha de Cronbach (1951) n’est pas une mesure adéquate de la fidélité (reliability) d’un test. C’est dans l’optique d’améliorer les pratiques d’analyse de données que ce court article va présenter les fondements théoriques de la fidélité, synthétiser les principales limites de l’alpha en plus de présenter de façon concise deux alternatives très prometteuses: le great lower bound et l’omega. Des logiciels gratuits et en téléchargement libre sont mentionnés pour obtenir un estimé de ces coefficients.
Mots-clés :
- Fidélité,
- coefficient alpha,
- coefficient omega,
- coefficient glb,
- logiciel en téléchargement libre
Abstract
Many researchers in psychometrics argue that Cronbach’s alpha (1951) is not an adequate measure of reliability. It is with the idea to improve data analysis practices that this short article will present the theoretical foundations of reliability, summarize the main limits of Cronbach’s alpha, and concisely present two promising alternatives: great lower bound and omega. Open softwares are mentioned to show how to obtain an estimate of these coefficients.
Keywords:
- Reliability,
- alpha coefficient,
- omega coefficient,
- glb coefficient,
- open software
Appendices
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