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Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test.

Dawson, Jeremy F., Richter, Andreas W.·2006·Journal of Applied Psychology

Abstract

Researchers often use 3-way interactions in moderated multiple regression analysis to test the joint effect of 3 independent variables on a dependent variable. However, further probing of significant interaction terms varies considerably and is sometimes error prone. The authors developed a significance test for slope differences in 3-way interactions and illustrate its importance for testing psychological hypotheses. Monte Carlo simulations revealed that sample size, magnitude of the slope difference, and data reliability affected test power. Application of the test to published data yielded detection of some slope differences that were undetected by alternative probing techniques and led to changes of results and conclusions. The authors conclude by discussing the test's applicability for psychological research.

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Show all 4 references

Research works printed but not linked: 29

  1. Aguinis, 1995, Statistical power problems with moderated regression in management research., Journal of Management, 21, 1141
  2. Aguinis, 2004, Regression analysis for categorical moderators.
  3. 10.1037/0021-9010.82.1.192 · doi:10.1037/0021-9010.82.1.192 · Paper page
  4. Aiken, 1991, Multiple regression: Testing and interpreting interactions.
  5. 10.2307/256811 · DOI
  6. 10.1207/s15327906mbr4003_5 · DOI · Paper page
  7. 10.1037/0021-9010.86.5.1043 · doi:10.1037/0021-9010.86.5.1043 · Paper page
  8. Cohen, 1988, Statistical power analysis for the behavioral sciences.
  9. Cohen, 1975, Applied multiple regression/correlation analysis for the behavioral sciences.
  10. Cohen, 2003, Applied multiple regression/correlation analysis for the behavioral sciences
  11. 10.1037/0021-9010.72.4.658 · DOI · Paper page
  12. 2001, S-plus
  13. 10.1037/0021-9010.69.2.307 · doi:10.1037/0021-9010.69.2.307 · Paper page
  14. 10.1016/S0149-2063(99)80006-3 · DOI · Paper page
  15. 10.1006/obhd.2001.2966 · DOI
  16. Miller, 1981, Simultaneous statistical inference, 10.1007/978-1-4613-8122-8 · DOI · Paper page
  17. 10.2307/256657 · DOI · Paper page
  18. 10.1037/0021-9010.72.1.75 · DOI
  19. Peters, 1984, The specification and testing of useful moderator variable hypotheses., 128
  20. 10.1177/10928102005003002 · DOI
  21. 10.1037/0033-2909.88.2.307 · doi:10.1037/0033-2909.88.2.307 · Paper page
  22. 10.2307/257061 · DOI · Paper page
  23. 10.2307/256837 · DOI
  24. 10.1037/0021-9010.89.3.575 · DOI
  25. 10.1037/0021-9010.79.3.354 · doi:10.1037/0021-9010.79.3.354 · Paper page
  26. van Yperen, 2002, Fatigued and dissatisfied or fatigued but satisfied? Goal orientations and responses to high job demands., Academy of Management Journal. Academy of Management, 45, 1161, 10.5465/3069431 · doi:10.5465/3069431
  27. 10.1037/0003-066X.53.3.300 · doi:10.1037/0003-066x.53.3.300 · Paper page
  28. 10.2307/257070 · DOI · Paper page
  29. 10.1037/h0031543 · DOI · Paper page

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Metadata

Authors
Dawson, J. F., & Richter, A. W.
Venue
Journal of Applied Psychology
Published
2006
Volume
91
Issue
4
Pages
917-926
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2015257908
Cited by
1,859
References
4
FWCI
21.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. https://app.cochat.ai/papers/10.1037/0021-9010.91.4.917
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Dawson, J. F., & Richter, A. W. (2006). Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.91.4.917

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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.