Title: Testing for mediation effects under non-normality and heteroscedasticity: a comparison of classic and modern methods
Authors: Marie Ng; Jingjing Lin
Addresses: Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA 98115, USA ' Faculty of Education, University of Hong Kong, Pokfulam Road, Hong Kong
Abstract: Analysis of mediation effects is common in educational research. The most popular methods for testing mediation effects are the causal steps approach proposed by Baron and Kenny (1986), and Sobel's test (1982). Numerous studies have pointed out limitations of these classic procedures, and modern methods based on bootstrap techniques have been proposed. However, the robustness of these modern methods has not been thoroughly understood. In this study, we evaluate the impact of non-normality and heteroscedasticity on the performance of both classic and modern methods for mediation analysis. Results from our simulation show that non-normality and heteroscedasticity can substantially undermine the statistical power of all methods. Nevertheless, modern bootstrap techniques are preferred over classic methods.
Keywords: mediation effects; indirect effect; causal steps approach; Sobel's test; bootstrap techniques; non-normality; heteroscedasticity; educational research; simulation.
International Journal of Quantitative Research in Education, 2016 Vol.3 No.1/2, pp.24 - 40
Available online: 15 Dec 2015 *Full-text access for editors Access for subscribers Free access Comment on this article