El análisis de mediación a través de la macro/interfaz Process para SPSS

  1. Fernández Muñoz, Juan José
  2. García Gónzalez, Juan Manuel
Revue:
REIRE: revista d'innovació i recerca en educació

ISSN: 2013-2255

Année de publication: 2017

Titre de la publication: (gener-juny, 2017) En premsa; in press

Volumen: 10

Número: 2

Pages: 79-88

Type: Article

DOI: 10.1344/REIRE2017.10.218109 DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: REIRE: revista d'innovació i recerca en educació

Résumé

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.

Références bibliographiques

  • 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