Mediation analysis with the PROCESS macro for SPSS
DOI:
https://doi.org/10.1344/reire2017.10.218109Keywords:
Mediation, Process, Direct Effects, Indirect Effects, Data AnalysisAbstract
Simple mediation, also called direct and indirect effect analysis, is used to analyze the effects of a mediator variable on the relationship between an independent variable and a dependent or explained variable. The PROCESS macro is an interface applied to SPSS to make mediation a simple, rapid statistical procedure. The main purpose of this study is to explain in clear and simple terms how to do this with the PROCESS macro for SPSS, so that any researcher can start to work with mediation analysis, whose use is widely extended in the social sciences. The results clearly reveal an indirect effect on the satisfaction with online education as displayed in the attitudes towards this. PROCESS allows users to apply mediation models quickly and easily and test different hypotheses once the data have been collected.References
Arcila, C. (2015). Avances metodológicos en los análisis de mediación, moderación y procesos condicionales. [Revisión del libro Introduction to mediation, moderation and conditional process analysis. A regression based approach, de A. F. Hayes]. Disertaciones: Anuario Electrónico de Estudios en Comunicación Social, 8 (1), 206‑208.
Baron, R. M., y Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51, 1173‑1182. doi:10.1037/0022-3514.51.6.1173
Hayes, A. F. (2013). Introduction to mediation, moderation and conditional process analysis. A regression based approach. Nueva York: The Guilford Press.
Hayes, A. F., y Scharkow, M. (2013). The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis: Does method really matter? Psychological Science, 24, 1918‑1927. doi:10.1177/0956797613480187
Kenny, D. A., Kashy, D., y Bolger, N. (1998). Data analysis in social psychology. En D. Gilbert, S. Fiske y G. Lindzey (Eds.), Handbook of social psychology (4.ª ed., pp. 233‑265). Nueva York: McGraw-Hill.
Sobel, M. E. (1982). Asymptotic intervals for indirect effects in structural equations models. Sociological Methodology, 13, 290‑312. doi:10.2307/270723
Downloads
Published
How to Cite
Issue
Section
License
Authors keep authorship rights and confer to REIRE the rights of article’s first publication.
All the contents included into REIRE Revista d’innovació i Recerca en Educació are under Creative Commons 4.0 International license attribution, which allows the article’s reproduction, distribution and public communication, whenever authorship and the journal’s title is quoted.