A comparison of the type I error rates of three assessment methods for indirect effects [r-libre/1630]

Caron, Pier-Olivier (2019). A comparison of the type I error rates of three assessment methods for indirect effects. Journal of Statistical Computation and Simulation, 89 (8), 1343-1256. https://doi.org/10.1080/00949655.2019.1577858

Fichier(s) associé(s) à ce document :

PDF - Caron(accepted)_JSCS.pdf
Contenu du fichier : Version de l'éditeur

Télécharger

Catégorie de document :	Articles de revues
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	Mediation analysis is a popular statistical analysis verifying the relation between an independent variable and a dependent variable through a mediator. There are three traditional tests to assess indirect effects: the Baron and Kenny test (BK), the Sobel test (ST) and the bootstrap method (BT). Previous studies have showed that the BT is more powerful and more conceptually appropriate. However, no study has systematically compared these tests regarding the type I error rate. A Monte-Carlo simulation is carried out with 19 scenarios varying paths (but no indirect effect), 9 scenarios varying the direct effect, and 6 sample sizes (1056 different scenarios). Results show that the BT had an overall good performance even for small sample size and whatever the effect sizes. The ST and the BK test were conservative, especially with small sample size and low effect sizes. In conclusion, these tests should be avoided, and the BT is recommended.
Adresse de la version officielle :	https://www.tandfonline.com/doi/abs/10.1080/009496...
Déposant:	Caron, Pier-Olivier
Responsable :	Pier-Olivier Caron
Dépôt :	12 févr. 2019 13:53
Dernière modification :	01 févr. 2020 06:15

Actions (connexion requise)

RÉVISER