The Relative Trustworthiness of Inferential Tests of the Indirect Effect in Statistical Mediation Analysis: Does Method Really Matter?

Psychological Science

Volumn 24, Issue 10, 2013, Pages 1918-1927

  Hayes, Andrew F ^a   Scharkow, Michael ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF HOHENHEIM   (Germany)

Author keywords

bootstrapping; hypothesis testing; indirect effects; mediation analysis; Sobel test; statistical analyses

Indexed keywords

ARTICLE; BOOTSTRAPPING; CONFIDENCE INTERVAL; HUMAN; HYPOTHESIS TESTING; INDIRECT EFFECTS; MEDIATION ANALYSIS; MONTE CARLO METHOD; SOBEL TEST; STANDARD; STATISTICAL ANALYSES; STATISTICAL ANALYSIS; STATISTICS;

BOOTSTRAPPING; HYPOTHESIS TESTING; INDIRECT EFFECTS; MEDIATION ANALYSIS; SOBEL TEST; STATISTICAL ANALYSES;

CONFIDENCE INTERVALS; DATA INTERPRETATION, STATISTICAL; HUMANS; MONTE CARLO METHOD; STATISTICS AS TOPIC;

EID: 84884956434     PISSN: 09567976     EISSN: 14679280     Source Type: Journal    
DOI: 10.1177/0956797613480187     Document Type: Article

References (39)

1. Aptech Systems. (2012). GAUSS (Version 12) [Computer software]. Black Diamond, WA: Aptech Systems. Available from http://www.statmodel.com.
2. Aroian L. A.The probability function of the product of two normally distributed variables.Annals of Mathematical Statistics. 1947;18:265-271.
3. Baron R.,Kenny D. A.The moderator-mediator variable distinction in social psychology: Conceptual, strategic, and statistical considerations.Journal of Personality and Social Psychology. 1986;51:1173-1182.
4. Biesanz J. C.,Falk C.,Savalei V.Assessing mediational models: Testing and interval estimation for indirect effects.Multivariate Behavioral Research. 2010;45:661-701.
5. Caprara G. V.,Alessandri G.,Eisenberg N.Prosociality: The contribution of traits, values, and self-efficacy beliefs.Journal of Personality and Social Psychology. 2012;102:1289-1303.
6. Edwards J. R.,Lambert L. S.Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis.Psychological Methods. 2007;12:1-22.
7. Fritz M. S.,MacKinnon D. P.Required sample size to detect the mediated effect.Psychological Science. 2007;18:233-239.
8. Fritz M. S.,Taylor A. B.,MacKinnon D. P.Explanation of two anomalous results in statistical mediation analysis.Multivariate Behavioral Research. 2012;47:61-87.
9. Guendelman M. D.,Cheryan S.,Monin B.Fitting in but getting fat: Identity threat and dietary choices among U.S. immigrant groups.Psychological Science. 2011;22:959-967.
10. Hayes A. F.Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press; 2013:.
11. Hayes A. F.,Cai L.Using heteroscedasticity-consistent standard error estimators in OLS regression: An introduction and software implementation.Behavior Research Methods. 2007;39:709-722.
12. Huang J. Y.,Sedlovskaya A.,Ackerman J. M.,Bargh J. A.Immunizing against prejudice: Effects of disease protection on attitudes toward out-groups.Psychological Science. 2011;22:1550-1556.
13. Johnson I. R.,Fujita K.Change we can believe in: Using perceptions of changeability to promote system-change motives over system-justification motives in information search.Psychological Science. 2012;22:133-140.
14. Judd C. M.,Kenny D. A.Handbook of social psychology. Fiske S. T.Gilbert D. T.Lindzey G., ed. New York, NY: Wiley; 2010:115-139.
15. Kelley K.Methods for the behavioral, educational, and social sciences: An R package.Behavior Research Methods. 2007;39:979-984.
16. Long J. S.,Ervin L. H.Using heteroscedasticity consistent standard errors in the linear regression model.The American Statistician. 2000;54:217-224.
17. MacKinnon D. P.An introduction to statistical mediation analysis. Mahwah, NJ: Erlbaum; 2008:.
18. MacKinnon D. P.,Fritz M. S.,Williams J.,Lockwood C. M.Distribution of the product confidence limits for the indirect effect: Program PRODCLIN.Behavior Research Methods. 2007;39:384-389.
19. MacKinnon D. P.,Lockwood C. M.,Hoffman J. M.,West S. G.,Sheets V.A comparison of methods to test mediation and other intervening variable effects.Psychological Methods. 2002;7:83-104.
20. MacKinnon D. P.,Lockwood C. M.,Williams J.Confidence limits for the indirect effect: Distribution of the product and resampling methods.Multivariate Behavioral Research. 2004;39:99-128.
21. Mathieu J. E.,Taylor S. R.Clarifying conditions and decision points for mediational type inferences in organizational behavior.Journal of Organizational Behavior. 2006;27:1031-1056.
22. Minson J. A.,Mueller J. S.The cost of collaboration: Why joint decision making exacerbates rejection of outside information.Psychological Science. 2012;23:219-224.
23. Muthén L. K.,Muthén B. O.Mplus user's guide. 2011). Mplus user's guide (6th ed.). Los Angeles, CA: Author.Los Angeles, CA: Author; 2011:.
24. Na J.,Kitayama S.Spontaneous trait inference is culture-specific: Behavioral and neural evidence.Psychological Science. 2011;22:1025-1032.
25. Neville L.Do economic equality and generalized trust inhibit academic dishonesty? Evidence from state-level search-engine queries.Psychological Science. 2012;23:339-345.
26. Oishi S.,Schimmack U.,Diener E.Progressive taxation and the subjective well-being of nations.Psychological Science. 2012;23:86-92.
27. Preacher K. J.,Hayes A. F.SPSS and SAS procedures for estimating indirect effects in simple mediation models.Behavior Research Methods, Instruments, & Computers. 2004;36:717-731.
28. Preacher K. J.,Hayes A. F.Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.Behavior Research Methods. 2008;40:879-891.
29. Preacher K. J.,Rucker D. D.,Hayes A. F.Assessing moderated mediation hypotheses: Theory, methods, and prescriptions.Multivariate Behavioral Research. 2007;42:185-227.
30. Preacher K. J.,Selig J. P.Advantages of Monte Carlo confidence intervals for indirect effects.Communication Methods and Measures. 2012;6:77-98.
31. R Development Core Team. (2012). R: A language and environment for statistical computing (Version 2.14). Vienna, Austria: R Foundation for Statistical Computing. Available from http://www.R-project.org.
32. Rindermann H.,Thompson J.Cognitive capitalism: The effect of cognitive ability on wealth, as mediated through scientific achievement and economic freedom.Psychological Science. 2011;22:754-763.
33. Shrout P. E.,Bolger N.Mediation in experimental and nonexperimental studies: New procedures and recommendations.Psychological Methods. 2002;7:422-445.
34. Sobel M. E.Sociological methodology. Leinhart S., ed. San Francisco, CA: Jossey-Bass; 1982:290-312.
35. Spencer S. J.,Zanna M. P.,Fong G. T.Establishing a causal chain: Why experiments are often more effective than mediational analysis in examining psychological processes.Journal of Personality and Social Psychology. 2005;89:845-851.
36. Sweeny K.,Vohs K. D.On near misses and completed tasks: The nature of relief.Psychological Science. 2012;23:464-468.
37. Tofighi D.,MacKinnon D. P.RMediation: An R package for mediation analysis confidence intervals.Behavior Research Methods. 2011;43:692-700.
38. Wickens C. M.,Wiesenthal D. L.,Flora D. B.,Flett G. L.Understanding driving anger and aggression: Attributional theory in the driving environment.Journal of Experimental Psychology: Applied. 2011;17:354-370.
39. Williams J.,MacKinnon D. P.Resampling and distribution of the product methods for testing indirect effects in complex models.Structural Equation Modeling. 2008;15:23-51.