The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling

Australasian Marketing Journal

Volumn 25, Issue 1, 2017, Pages 76-81

  Hayes, Andrew F ^a   Montoya, Amanda K ^a   Rockwood, Nicholas J ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85013480728     PISSN: 14413582     EISSN: 18393349     Source Type: Journal    
DOI: 10.1016/j.ausmj.2017.02.001     Document Type: Note

References (31)

1. Baron, R.B., Kenny, D.A., The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol 51 (1986), 1173–1182.
2. Baxter, R., Kleinaltenkamp, M., How relationship conditions affect suppliers' resource inputs. Aust. Mark. J. 23 (2015), 117–123.
3. Cassar, V., Briner, R.B., The relationship between psychological contract breach and organizational commitment: exchange imbalance as a moderator of the mediating role of violation. J. Vocat. Behav 78 (2011), 283–289.
4. Cham, H., West, S.G., Ma, Y., Aiken, L.S., Estimating latent variable interactions with nonnormal observed data: a comparison of four approaches. Multivariate Behav. Res 47 (2012), 840–876.
5. Cheung, G.W., Lau, R.S., Accuracy of parameter estimates and confidence intervals in moderated mediation models: a comparison of regression and latent moderated structural equations. Organ. Res. Methods, 2015, 10.1177/1094428115595869.
6. Cole, D.A., Preacher, K.J., Manifest variable path analysis: potential serious and misleading consequences due to uncorrected measurement error. Psychol. Methods 19 (2014), 300–315.
7. Cole, M.S., Walter, F., Bruch, H., Affective mechanisms linking dysfunctional behavior to performance in work teams: a moderated mediation study. J. Appl. Psychol 93 (2008), 945–958.
8. Darlington, R.B., Hayes, A.F., Regression Analysis and Linear Models: Concepts, Applications, and Implementation. 2017, The Guilford Press, New York.
9. Dubois, D., Rucker, D.D., Galinsky, A.D., Dynamics of communicator and audience power: the persuasiveness of competence and warmth. J. Consum. Res 43 (2016), 68–85.
10. Edwards, J.R., Lambert, L.S., Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis. Psychol. Methods 12 (2007), 1–22.
11. Etkin, J., Sela, A., How experience variety shapes postpurchase product evaluation. J. Mark. Res 53 (2016), 77–90.
12. Fairchild, A.J., MacKinnon, D.P., A general model for testing mediation and moderation effects. Prev. Sci 10 (2009), 87–99.
13. Hayes, A.F., Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. 2013, The Guilford Press, New York.
14. Hayes, A.F., An index and test of linear moderated mediation. Multivariate Behav. Res 50 (2015), 1–22.
15. Hoogland, J.J., Boomsma, A., Robustness studies in covariance structure models: an overview and meta-analysis. Sociol. Methods Res 26 (1998), 329–367.
16. Iacobucci, D., Saldanha, N., Deng, J.X., A meditation on mediation: evidence that structural equation models perform better than regressions. J. Consum. Psychol 17 (2007), 140–154.
17. Kline, R.B., Principles and Practice of Structural Equation Modeling. fourth ed., 2016, The Guilford Press, New York.
18. Kongarchapatara, B., Shannon, R., The effect of time stress on store loyalty: a case for food and grocery shopping in Thailand. Aust. Mark. J. 24 (2016), 267–274.
19. Ledgerwood, A., Shrout, P.E., The trade-off between accuracy and precision in latent variable models of mediation processes. J. Pers. Soc. Psychol 101 (2011), 1174–1188.
20. MacCallum, R.C., Wegener, D.T., Uchino, B.N., Fabrigar, L.R., The problem of equivalent models in applications of covariance structure analysis. Psychol. Bull 114 (1993), 185–199.
21. Marsh, H.W., Wen, Z., Hau, K., Nagengast, B., Structural equation models of latent interactions and quadratic effects. Hancock, G.R., Mueller, R.O., (eds.) A Second Course in Structural Equation Modeling, second ed., 2013, Information Age, Greenwich, CT.
22. Muller, D., Judd, C.M., Yzerbyt, V.Y., When moderation is mediated and mediation is moderated. J. Pers. Soc. Psychol 89 (2005), 852–863.
23. Pek, J., Hoyle, R.H., On the (in)validity of tests of simple mediation: threats and solutions. Soc. Personal. Psychol. Compass 10 (2016), 150–163.
24. Preacher, K.J., Rucker, D.D., Hayes, A.F., Assessing moderated mediation hypotheses: theory, methods, and prescriptions. Multivariate Behav. Res 42 (2007), 185–227.
25. Schiele, H., Vos, F.G.S., Dependency on suppliers as a peril in the acquisition of innovations? The role of buyer attractiveness in mitigating potential negative dependency in buyer-supplier relations. Aust. Mark. J. 23 (2015), 139–147.
26. Shen, H., Zhang, M., Krishna, A., Computer interfaces and the “direct-touch” effect: can iPads increase the choice of hedonic food?. J. Mark. Res 53 (2016), 745–758.
27. Shenu-Fen, Y., Sun-May, L., Yu-Ghee, W., Store brand proneness: effects of perceived risks, quality, and familiarity. Aust. Mark. J. 20 (2012), 48–58.
28. Shrout, E., Bolger, N., Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol. Methods 7 (2002), 422–445.
29. Voola, R., Casimir, G., Carlson, J., Agnihotri, M.A., The effects of marketing orientation, technological opportunism, and e-business adoption on performance: a moderated mediation analysis. Aust. Mark. J. 20 (2012), 136–146.
30. White, K., Lin, L., Dahl, D.W., Ritchie, R.J.B., When do consumers avoid imperfections? Superficial packaging damage as a contamination cue. J. Mark. Res 53 (2016), 110–123.
31. Zenker, S., Braun, E., Petersen, S., Branding and destination versus the place: the effects of brand complexity and identification for residents and visitors. Tour. Manage 58 (2017), 15–27.