Structural equation modeling with AMOS to test mediation hypotheses
DOI:
https://doi.org/10.1344/reire2019.12.122540Keywords:
SEM, Mediation, AMOS, Indirect EffectAbstract
INTRODUCTION: Nowadays, the analysis of mediating variables has become a common procedure in academic research in the field of social sciences. A number of SEM programs have been developed for this purpose, but many researchers may not be familiar with mediation analysis using AMOS. METHOD: The first aim of this paper is to show that, in addition to calculating the default total indirect effect, the AMOS program allows researchers to calculate partial indirect effects. Secondly, the paper is intended as a guide for researchers who wish to use this program in their research. RESULTS AND DISCUSSION: Although it is not one of the simplest methods for verifying indirect effects, AMOS is relatively easy to use and facilitates the testing of mediation hypotheses.References
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(6), 1173–1182. http://www.dx.doi.org/10.1037/0022-3514.51.6.1173
Fernández Muñoz, J., y García González, J. (2017). El análisis de mediación a través de la macro/interfaz Process para SPSS. REIRE Revista d'Innovació i Recerca en Educació, 10(2), 79–88. http://dx.doi.org/10.1344/reire2017.10.218109
Fritz, M. S., Taylor, A. B., y MacKinnon, D. P. (2012). Explanation of two anomalous results in statistical mediation analysis. Multivariate behavioral research, 47(1), 61–87. http://www.dx.doi.org/10.1080/00273171.2012.640596
Hayes, A. F. (2013). Introduction to mediation, moderation and conditional process analysis. A regression based approach. Nueva York: The Guilford Press.
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Nueva York: Guilford Publications.
Macho, S., y Ledermann, T. (2011). Estimating, testing, and comparing specific effects in structural equation models: The phantom model approach. Psychological methods, 16(1), 34–43. http://www.dx.doi.org/10.1037/a0021763
Sobel, M. E. (1982). Asymptotic intervals for indirect effects in structural equations models. Sociological Methodology, 13, 290–312. http://www.dx.doi.org/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.