Mediation, Moderation, and Conditional Process AnalysisConcepts, Computations, and Some Common Confusions

  1. Juan-José Igartua 1
  2. Andrew F. Hayes 2
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 University of Calgary
    info

    University of Calgary

    Calgary, Canadá

    ROR https://ror.org/03yjb2x39

Revista:
The Spanish Journal of Psychology

ISSN: 1138-7416

Año de publicación: 2021

Número: 24

Tipo: Artículo

DOI: 10.1017/SJP.2021.46 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: The Spanish Journal of Psychology

Resumen

This work provides a conceptual introduction to mediation, moderation, and conditional process analysis in psychological research. We discuss the concepts of direct effect, indirect effect, total effect, conditional effect, conditional direct effect, conditional indirect effect, and the index of moderated mediation index, while providing our perspective on certain analysis and interpretation confusions that sometimes arise in practice in this journal and elsewhere, such as reliance on the causal steps approach and the Sobel test in mediation analysis, misinterpreting the regression coefficients in a model that includes a product of variables, and subgroups mediation analysis rather than conditional process analysis when exploring whether an indirect effect depends on a moderator.Wealso illustrate how to conduct various analyses that are the focus of this paper with the freely-available PROCESS procedure available for SPSS, SAS, and R, using data from an experimental investigation on the effectiveness of personal or testimonial narrative messages in improving intergroup attitudes.

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Referencias bibliográficas

  • Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage.
  • Álvaro, J. L., Garrido, A., Pereira, C. R., Torres, A. R., & Barros, S. C. (2019). Unemployment, self-esteem, and depression: Differences between men and women. The Spanish Journal of Psychology, 22, E1. https://doi.org/ 10.1017/sjp.2018.68
  • Balogun, A.G., Balogun, S. K., &Onyencho, C. V. (2017). Test anxiety and academic performance among undergraduates: The moderating role of achievement motivation. The Spanish Journal of Psychology, 20, Article E14. https://doi.org/ 10.1017/sjp.2017.5
  • Baron, R.M., &Kenny, D. A. (1986). Themoderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https:// doi.org/10.1037/0022-3514.51.6.1173
  • Bauer,D. J., &Curran, P. J. (2005). Probing interactions infixed and multilevel regression: Inferential and graphical techniques. Multivariate Behavioral Research, 40, 373–400. https://doi.org/10.1207/s15327906mbr4003_5
  • Blanco-Donoso, L. M., Moreno-Jiménez, B., Pereira, G., & Garrosa, E. (2019). Effects of co-worker and supervisor support on nurses’ energy and motivation through role ambiguity andpsychologicalflexibility.The Spanish Journal of Psychology, 22, Article E25. https://doi.org/10.1017/ sjp.2019.10
  • Bollen, K. A. (1989). Structural equations with latent variables. John Wiley and Sons. http://doi.org/10.1002/ 9781118619179
  • Carvalho, J. P., & Hopko, D. R. (2011). Behavioral theory of depression: Reinforcement as a mediating variable between avoidance and depression. Journal of Behavior Therapy and Experimental Psychiatry, 42(2), 154–162. https://doi.org/ 10.1016/j.jbtep.2010.10.001
  • Caro-Cañizares, I., Díaz de Neira-Hernando, M., Pfang, B., Baca-Garcia, E., & Carballo, J. J. (2018). The strengths and difficulties questionnaire: Dysregulation profile, nonsuicidal self-injury behaviors, and the mediating role of stressful life events. The Spanish Journal of Psychology, 2, E22. http://doi.org/10.1017/sjp.2018.23
  • Correia, I., Salvado, S., & Alves, H. (2016). Belief in a just world and self-efficacy to promote justice in the world predict helping attitudes, but only among volunteers. The Spanish Journal of Psychology, 19, E28. https://doi.org/ 10.1017/sjp.2016.29
  • Efron, B. (1987). Better bootstrap confidence intervals. Journal of the American Statistical Association, 82, 171–185. http:// doi.org/10.1080/01621459.1987.10478410
  • Edwards, J. R., & Lambert, L. S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12, 1–22. http://doi.org/10.1037/1082-989X.12.1.1
  • Fairchild, A. J., & MacKinnon, D. P. (2009). A general model for testing mediation and moderation effects. Prevention Science, 10, 87–99. https://doi.org/10.1007/s11121-008- 0109-6
  • Fritz, M. S., Taylor, A. B., & MacKinnon, D. P. (2012). Explanation of two anomalous results in statisticalmediation analysis. Multivariate Behavioral Research, 47, 61–87. http:// doi.org/10.1080/00273171.2012.640596
  • Gabbiadini, A., Riva, P., Andrighetto, L., Volpato, C., & Bushman, B. J. (2016). Acting like a tough guy: Violent-sexist video games, identification with game characters, masculine beliefs, & empathy for female violence victims. PLOS ONE, 11(4), Article e0152121. https://doi.org/10.1371/ journal.pone.0152121
  • Gonzalo Silvestre, T., & Ubillos Landa, S. (2016). Women, physical activity, and quality of life: Self-concept as a mediator. The Spanish Journal of Psychology, 19, Article E6. https://doi.org/10.1017/sjp.2016.4
  • Grøntved, A., Steene-Johannessen, J., Kynde, I., Franks, P. W., Helge, J.W., Froberg, K., Anderssen, S. A., &Andersen, L. B. (2011). Association between plasma leptin and blood pressure in two population-based samples of children and adolescents. Journal of Hypertension, 29, 1093–1100. https:// doi.org/10.1097/HJH.0b013e328346d787
  • Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408–420. https://doi.org/10.1080/ 03637750903310360
  • Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1–22. https://doi.org/10.1080/00273171.2014.962683
  • Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (3rd Ed.). The Guilford Press. Hayes, A. F., & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods, 41(3), 924–936. https://doi.org/10.3758/BRM.41.3.924
  • Hayes, A. F., & Montoya, A. K. (2017). A tutorial on testing, visualizing, and probing interaction involving a multicategorical variable in linear regression analysis. Communication Methods and Measures, 11, 1–30. http:// doi.org/10.1080/19312458.2016.1271116
  • Hayes, A. F., Montoya, A. K., & Rockwood, N. J. (2017). The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling. Australasian Marketing Journal, 25, 76–81. https://doi.org/10.1016/ j.ausmj.2017.02.001
  • Hayes, A. F., & Preacher, K. J. (2014). Statistical mediation analysiswith amulticategorical independent variable.British Journal of Mathematical and Statistical Psychology, 67(3), 451–470. https://doi.org/10.1111/bmsp.12028
  • Hayes, A. F., & Rockwood, N. J. (2017). Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation. Behaviour Research and Therapy, 98, 39–57. https://doi.org/10.1016/j.brat.2016.11.001
  • Hayes, A. F., & Rockwood, N. J. (2020). Conditional process analysis: Concepts, computation, and advances in the modeling of the contingencies of mechanisms. American Behavioral Scientist, 64(1), 19–54. https://doi.org/10.1177/ 0002764219859633
  • Hayes, A. F., & 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. https://doi.org/ 10.1177/0956797613480187
  • Holbert, R. L., & Park, E. (2020). Conceptualizing, organizing, and positing moderation in communication research. Communication Theory, 30(3), 227–246. https://doi.org/ 10.1093/ct/qtz006
  • Igartua, J.-J., Wojcieszak, M., & Kim, N. (2019). How the interplay of imagined contact and first‐person narratives improves attitudes toward stigmatized immigrants: A conditional process model. European Journal of Social Psychology, 49(2), 385–397. https://doi.org/10.1002/ejsp.2509
  • Jaccard, J., & Turrisi, R. (2003). Interaction effects in multiple regression (2nd Ed.). Sage. https://doi.org/10.4135/ 9781412984522
  • Kenny,D.A.,& Judd, C.M. (2014). Power anomolies in testing mediation. Psychological Science, 25, 334–339. http:// doi.org/10.1177/0956797613502676
  • Kampfer, K., Leischnig, A., Ivens, B. S., & Spence, C. (2017). Touch-flavor transference: Assessing the effect of packaging weight on gustatory evaluations, desire for food and beverages, and willingness to pay. PLOS ONE, 12(1), Article e0186121. http://doi.org/10.1371/journal.pone.0186121
  • Knoster, K.C., &Goodboy,A.K. (2020). A conditional process model of academic demands and student learning. Communication Education, 69(3), 335–355. https://doi.org/ 10.1080/03634523.2020.1713387
  • MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. Lawrence Erlbaum Associates
  • Morgan-Lopez, A. A., & MacKinnon, D. P. (2006). Demonstration and evaluation of a method for assessing mediated moderation. Behavior Research Methods, 38, 77–89. https://doi.org/10.3758/BF03192752
  • Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005). When moderation is mediated andmediation is moderated. Journal of Personality and Social Psychology, 89, 852–863. http:// doi.org/10.1037/0022-3514.89.6.852
  • Muralidharan, S., &Kim, E. A. (2020). Can empathy offset low bystander efficacy? Effectiveness of domestic violence prevention narratives in India.Health Communication, 35(10), 1229–1238. https://doi.org/10.1080/ 10410236.2019.1623645
  • Navarro-Carrillo, G., Beltrán-Morillas, A. M., Valor-Segura, I., & Expósito, F. (2018). The pernicious effects of malicious versus benign envy: Perceived injustice, emotional hostility, and counterproductive behaviors in the workplace. The Spanish Journal of Psychology, 21, E41. https://doi.org/ 10.1017/sjp.2018.49
  • O’Rourke, H. P., & MacKinnon, D. P. (2018). Reasons for testing mediation in the absence of an intervention effect: A research imperative in prevention and intervention research. Journal of Studies on Alcohol and Drugs, 79(2), 171–181. https://doi.org/10.15288/jsad.2018.79.171
  • Peltonen,K.,Quota, S., Sarraj, E. E.,&Punamäki, R.-L. (2010). Military trauma and social development: The moderating and mediating role of peer and sibling relations in mental health. International Journal of Behavioral Development, 34(6), 554–563. https://doi.org/10.1177/0165025410368943
  • Pirlott, A. G., & MacKinnon, D. P. (2016). Design approaches to experimental mediation. Journal of Experimental Social Psychology, 66, 29–38. https://doi.org/10.1016/ j.jesp.2015.09.012
  • Preacher, K. J., Rucker, D. D., &Hayes, A. F. (2007). Assessing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185–227. https://doi.org/10.1080/00273170701341316
  • Preacher,K. J.,&Selig, J. P. (2012).Advantages ofMonteCarlo confidence intervals for indirect effects. Communication Methods and Measures, 6, 77–89. https://doi.org/10.1080/ 19312458.2012.679848
  • Spencer, S. J., Zanna, M. P., & Fong, G. T. (2005). Establishing a causal chain: Why experiments are often more effective than mediational analyses in examining psychological processes. Journal of Personality and Social Psychology, 89, 845–851. https://doi.org/10.1037/0022-3514.89.6.845
  • Rucker, D. D., McShane, B. B., & Preacher, K. J. (2015). A researcher’s guide to regression, discretization, and median splits of continuous variables. Journal of Consumer Psychology, 25, 666–678. https://doi.org/10.1016/j.jcps.2015.04.004
  • Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7, 422–445. http:// doi.org/10.1037/1082-989X.7.4.422
  • Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290–312. http://doi.org/10.2307/270723
  • Spiller, S. A., Fitzsimons, G. J., Lynch, J. G., & McClelland, G. H. (2013). Spotlights, floodlights, and the magic number zero: Simple effects tests in moderated regression. Journal of Marketing Research, 50, 277–288. https://doi.org/10.1509/ jmr.12.0420
  • Virkes, T., Seršić, D. M., & Lopez-Zafra, E. (2017). Core selfevaluations and individual strategies of coping with unemployment among displaced Spanish workers. The Spanish Journal of Psychology, 20, Article E59. https:// doi.org/10.1017/sjp.2017.57
  • Yuan, Y., & MacKinnon, D. P. (2009). Bayesian mediation analysis. Psychological Methods, 14, 301–322. http://doi.org/ 10.1037/a0016972
  • Yzerbyt, V., Muller, D., Batailler, C., & Judd, C. M. (2018). New recommendations for testing indirect effects in mediational models: The need to report and test component paths. Journal of Personality and Social Psychology, 115, 929–943. http://doi.org/10.1037/pspa0000132