The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
On the Overuse and Misuse of Mediation Analysis: It May Be a Matter of Timing
Abstract
Kenny (2008) credited Hyman (1955 Hyman, H. (1955). Survey design and analysis: Principles, cases and procedures. Glencoe, IL: The Free Press. [Google Scholar]) with originally discussing mediation analysis under the name elaboration. Of importance, Hyman's elaboration required a time-ordered relationship among variables, such that the mediator must always intervene in time between the predictor and outcome. However, in the modern discussions of mediation (e.g., Baron & Kenny, 1986 Baron, R., & 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[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Preacher & Hayes, 2004 Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36, 717–731. doi:10.3758/bf03206553[Crossref], [PubMed] , [Google Scholar]), this crucial point about time-ordered relationships appears to be underemphasized. This article shows that by employing a conceptual timing criterion for all mediation analyses, the overuse of this technique can be curbed, and, simultaneously, researchers will understand when mediation analyses are appropriate across the behavioral and medical science literatures.
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“Moreover, post-test performance on untrained N-back preceded performance on Matrix Reasoning by one day, hence satisfying the recommendation that the mediator must intervene between the predictor and the outcome37.”
From Near transfer to an unrelated N-back task mediates the effect of N-back working memory training on matrix reasoning (2022) · cites this paper as [37]
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Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,269
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085542 · Cited by 5,688
Equivalence of the Mediation, Confounding and Suppression Effect
MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000) · Prevention Science · doi:10.1023/a:1026595011371 · Cited by 4,188
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
Experimental evidence of massive-scale emotional contagion through social networks
Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320040111 · Cited by 3,687
Process Analysis: Estimating Mediation in Treatment Evaluations
Judd, C. M., & Kenny, D. A. (1981) · Evaluation Review · doi:10.1177/0193841x8100500502 · Cited by 2,442
(1970) · Medical Entomology and Zoology · Cited by 2,372
IX. On the problem of the most efficient tests of statistical hypotheses
Neyman, J., & Pearson, E. S. (1933) · Philosophical Transactions of the Royal Society of London Series A Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1933.0009 · Cited by 2,370
Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
Imai, K., Keele, L., & Yamamoto, T. (2010) · Statistical Science · doi:10.1214/10-sts321 · Cited by 1,628
ON THE PROBLEM OF THE MOST EFFICIENT TESTS OF STATISTICAL HYPOTHESES
Neyman, J., & Pearson, E. S. (1967) · University of California Press eBooks · doi:10.1525/9780520339897-008 · Cited by 1,545
Group inhibition of bystander intervention in emergencies.
Latane, B., & Darley, J. M. (1968) · Journal of Personality and Social Psychology · doi:10.1037/h0026570 · Cited by 1,252 · cited 4×
“Figure 3 depicts a well-known social psychological phenomenon, the bystander effect (Latané & Darley, 1968, 1970), in a mediation structure that is consistent with the Hyman– Tate criterion.”
BackgroundResultInfluentialYes, but what’s the mechanism? (don’t expect an easy answer).
Bullock, J. G., Green, D. P., & Ha, S. E. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0018933 · Cited by 1,063
When small effects are impressive
Prentice, D. A., & Miller, D. T. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.112.1.160 · Cited by 1,008
Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects
Imai, K., & Keele, L. J. (2008) · Cited by 887
What If There Were No Significance Tests?
(2013) · Psychology Press eBooks · doi:10.4324/9781315827353 · Cited by 675
Trafimow, D., & Marks, M. (2015) · Basic and Applied Social Psychology · doi:10.1080/01973533.2015.1012991 · Cited by 618
What mediation analysis can (not) do
Fiedler, K., Schott, M., & Meiser, T. (2011) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2011.05.007 · Cited by 609
What If There Were No Significance Tests?
(2016) · Routledge eBooks · doi:10.4324/9781315629049 · Cited by 543
Statistical Power Analysis for the Behavioral Sciences.
Minton, P. D., & Cohen, J. (1971) · Journal of the American Statistical Association · doi:10.2307/2283959 · Cited by 462
Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects
VanderWeele, T. J. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181df191c · Cited by 435 · cited 2×
“…ways to deal with the mathematics of determining this ‘‘cut-point,’’ including average causal mediation (e.g., Imai, Keele, & Tingley, 2010), the confounder bias method (VanderWeele, 2010); left out variables error method (e.g., Cox, Kisbu-Sakarya, Miočević, & MacKinnon, 2013; Mauro, 1990).”
MethodMatched Sampling for Causal Effects: Contributor Acknowledgments
Rubin, D. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810725 · Cited by 287
Kenny, D. A. (2007) · Organizational Research Methods · doi:10.1177/1094428107308978 · Cited by 281
MacKinnon, D. P., & Pirlott, A. G. (2014) · Personality and Social Psychology Review · doi:10.1177/1088868314542878 · Cited by 279
Trafimow, D. (2003) · Psychological Review · doi:10.1037/0033-295x.110.3.526 · Cited by 158
Mauro, R. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.108.2.314 · Cited by 130
Cultural Differences in Affective Forecasting: The Role of Focalism
Lam, K. C. H., Buehler, R., McFarland, C., Ross, M., & Cheung, I. K. M. (2005) · Personality and Social Psychology Bulletin · doi:10.1177/0146167205274691 · Cited by 94
SURVEY DESIGN AND ANALYSIS: PRINCIPLES, CASES, AND PROCEDURES..
Hyman, H. (1956) · Journal of Marketing · doi:10.2307/1247354 · Cited by 80
Sensitivity Plots for Confounder Bias in the Single Mediator Model
Cox, M. G., Kisbu‐Sakarya, Y., Miočević, M., & MacKinnon, D. P. (2013) · Evaluation Review · doi:10.1177/0193841x14524576 · Cited by 70
Beliefs, attributions, and evaluations: Nonhierarchical models of mediation in social cognition.
Smith, E. R. (1982) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.43.2.248 · Cited by 59
Beliefs, attributions, and evaluations: Nonhierarchical models of mediation in social cognition.
Smith, E. R. (1982) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.43.2.248 · Cited by 3
Research works printed but not linked: 1
- 10.1037//0033-2909.108.2.314 · DOI · Paper page
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Unwarranted inferences from statistical mediation tests – An analysis of articles published in 2015
Fiedler, K., Harris, C., & Schott, M. (2017) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2017.11.008 · Cited by 419
The Effects of a Female Role Model on Academic Performance and Persistence of Women in STEM Courses
Herrmann, S. D., Adelman, R. M., Bodford, J. E., Graudejus, O., Okun, M. A., & Kwan, V. S. Y. (2016) · Basic and Applied Social Psychology · doi:10.1080/01973533.2016.1209757 · Cited by 321
Wong, A. E., Dirghangi, S. R., & Hart, S. R. (2019) · Self and Identity · doi:10.1080/15298868.2018.1439096 · Cited by 178
Goodboy, A. K., & Kline, R. B. (2016) · Communication Research Reports · doi:10.1080/08824096.2016.1214121 · Cited by 149
The “true” indirect effect won't (always) stand up: When and why reverse mediation testing fails
Lemmer, G., & Gollwitzer, M. (2017) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2016.05.002 · Cited by 145
Metadata
- Authors
- Tate, C. U.
- Affiliations
- San Francisco State University (US)
- Corresponding author
- Tate, Charlotte Ursula
- Venue
- Basic and Applied Social Psychology
- Publisher
- Informa UK Limited
- Published
- 2015-07-04
- Volume
- 37
- Issue
- 4
- Pages
- 235-246
- ISSN
- 0197-3533 (ISSN-L)
- 1532-4834
- OpenAlex
- W1857078712
- Cited by
- 153
- References
- 32
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 13 · 2023: 11 · 2022: 13 · 2021: 28 · 2020: 13 · 2019: 19 · 2018: 18 · 2017: 10 · 2016: 11 · 2015: 1
- FWCI
- 11.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Basic and Applied Social Psychology (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- mediation analysis, elaboration, indirect effects
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