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The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Moderation in Management Research: What, Why, When, and How

Dawson, Jeremy F.·2014·Journal of Business and Psychology
DOI 10.1007/s10869-013-9308-7
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Show all 7 references

Research works printed but not linked: 30

  1. Aguinis, H. (1995). Statistical power problems with moderated regression in management research. Journal of Management, 21, 1141–1158.
  2. Aguinis, H. (2004). Regression analysis for categorical moderators. New York: Guilford Press.
  3. Aguinis, H., & Stone-Romero, E. F. (1997). Methodological artifacts in moderated multiple regression and their effects on statistical power. Journal of Applied Psychology, 82, 192–206. · doi:10.1037/0021-9010.82.1.192 · Paper page
  4. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, London: Sage.
  5. Bauer, D. J., & Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate Behavioral Research, 40, 373–400. · DOI · Paper page
  6. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Erlbaum.
  7. Cortina, J. M. (1993). Interaction, nonlinearity, and multicollinearity: Implications for multiple regression. Journal of Management, 19, 915–922. · doi:10.1177/014920639301900411
  8. Cortina, J. M., & Landis, R. S. (2011). The earth is not round (p = .00). Organizational Research Methods, 14, 332–349. · DOI
  9. Dalal, D. K., & Zickar, M. J. (2012). Some common myths about centering predictor variables in moderated multiple regression and polynomial regression. Organizational Research Methods, 15, 339–362. · DOI · Paper page
  10. Dunlap, W. P., & Kemery, E. R. (1988). Effects of predictor intercorrelations and reliabilities on moderated multiple regression. Organizational Behavior and Human Decision Processes, 41, 248–258. · DOI
  11. Edwards, J. R. (2001). Ten difference score myths. Organizational Research Methods, 4, 265–287. · DOI · Paper page
  12. 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. · DOI · Paper page
  13. Jaccard, J., & Wan, C. K. (1995). Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: Multiple indicator and structural equation approaches. Psychological Bulletin, 117, 348–357. · doi:10.1037/0033-2909.117.2.348 · Paper page
  14. Johnson, R. E., Rosen, C. C., & Chang, C. (2011). To aggregate or not to aggregate: Steps for developing and validating higher-order multidimensional constructs. Journal of Business and Psychology, 26, 241–248. · DOI · Paper page
  15. Kromrey, J. D., & Foster-Johnson, L. (1998). Mean centering in moderated multiple regression: Much ado about nothing. Educational and Psychological Measurement, 58, 42–67. · DOI
  16. Landis, R. S. (2013). Successfully combining meta-analysis and structural equation modeling: Recommendations and strategies. Journal of Business and Psychology. doi:https://doi.org/10.1007/s10869-013-9285-x. · DOI
  17. Landis, R. S., & Dunlap, W. P. (2000). Moderated multiple regression tests are criterion specific. Organizational Research Methods, 3, 254–266. · DOI
  18. Locke, E. A., Shaw, K. N., Saari, L. M., & Latham, G. P. (1981). Goal setting and task performance: 1969–1980. Psychological Bulletin, 90, 125–152. · DOI · Paper page
  19. MacKinnon, D. P., Coxe, S., & Baraldi, A. N. (2012). Guidelines for the investigation of mediating variables in business research. Journal of Business and Psychology, 27, 1–14. · DOI · Paper page
  20. McClelland, G. H., & Judd, C. M. (1993). Statistical difficulties of detecting interactions and moderator effects. Psychological Bulletin, 114, 376. · DOI · Paper page
  21. Overton, R. C. (2001). Moderated multiple regression for interactions involving categorical variables: A statistical control for heterogeneous variance across two groups. Psychological Methods, 6, 218–233. · DOI
  22. Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational & Behavioral Statistics, 31, 437–448. · DOI · Paper page
  23. Rogosa, D. (1980). Comparing nonparallel regression lines. Psychological Bulletin, 88, 307–321. · doi:10.1037/0033-2909.88.2.307 · Paper page
  24. Rutherford, A. (2001). Introducing ANOVA and ANCOVA: A GLM approach. London: Sage.
  25. Shieh, G. (2009). Detecting interaction effects in moderated multiple regression with continuous variables: Power and sample size considerations. Organizational Research Methods, 12, 510–528. · DOI · Paper page
  26. Snijders, T., & Bosker, R. (2011). Multilevel analysis: An introduction to basic and advanced multilevel modeling (2nd ed.). Thousand Oaks, CA: Sage.
  27. Stone-Romero, E. F., & Anderson, L. E. (1994). Relative power of moderated multiple regression and the comparison of subgroup correlation coefficients for detecting moderating effects. Journal of Applied Psychology, 79, 354–359. · doi:10.1037/0021-9010.79.3.354 · Paper page
  28. van Knippenberg, D., De Dreu, C. K. W., & Homan, A. C. (2004). Work group diversity and group performance: An integrative model and research agenda. Journal of Applied Psychology, 89, 1008–1022. · DOI · Paper page
  29. West, B., Welch, K. B., & Galecki, A. T. (2007). Linear mixed models: A practical guide using statistical software. Boca Raton, FL: Chapman & Hall.
  30. Wilcox, R. R. (1998). How many discoveries have been lost by ignoring modern statistical methods? American Psychologist, 53, 300–314. · doi:10.1037/0003-066x.53.3.300 · Paper page

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Metadata

Authors
Dawson, J. F.
Venue
Journal of Business and Psychology
Publisher
Springer Science and Business Media LLC
Published
2013-05-09
Volume
29
Issue
1
Pages
1-19
ISSN
  • 0889-3268 (ISSN-L)
  • 1573-353X
DOI
10.1007/s10869-013-9308-7
OpenAlex
W2050160040
Cited by
3,021
References
7
FWCI
105.81
Type
journal article
Language
en
Open access
closed
Licence

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CoChat. (2026). Citation check: Moderation in Management Research: What, Why, When, and How. https://app.cochat.ai/papers/10.1007/s10869-013-9308-7
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Dawson, J. F. (2014). Moderation in Management Research: What, Why, When, and How. Journal of Business and Psychology. https://doi.org/10.1007/s10869-013-9308-7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.