July 2006 PMID 16834514

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

Jeremy F Dawson, Andreas W Richter

Mentions

3
Peak: 1 in Mar 2021
across 2 sources since Mar 2021

Extended reach

1,343
potential audience

Total likes

14

Video views

588

Mentions per month

Mar 2021 – Jul 2025

Where it's discussed

  • YouTube2 videos
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AI synopsis

What people are saying

Discussions reflect appreciation for the methodological advancements, with comments highlighting the novelty of the slope difference test and its relevance, such as references to simulation results and the importance of data reliability, which reveal a thoughtful and motivated approach to understanding the research's significance.

AgreementModerate agreement

Most discussions acknowledge the significance of the new significance test for analyzing complex interactions in research, reflecting general agreement with the article's contributions.

InterestHigh interest

Posts display high curiosity about the methodology and implications, often referencing the potential for improved accuracy in psychological research.

EngagementModerate engagement

Participants engage by discussing specific aspects like Monte Carlo simulations and sample size effects, indicating moderate active involvement.

ImpactModerate impact

The conversations suggest a recognition of the article’s potential to influence future research practices, though the tone remains analytical rather than revolutionary.

Abstract in brief

  • Researchers utilize 3-way interactions in moderated multiple regression to analyze how three independent variables collectively impact a dependent variable, but probing significant interactions can be inconsistent and error-prone.
  • The authors created a new significance test for slope differences in these interactions, demonstrating its relevance for psychological research.
  • Monte Carlo simulations indicated that factors like sample size, slope difference size, and data reliability influence the power of the test, revealing previously unnoticed slope differences when applied to existing data.

Top posts

Most liked on X and Bluesky
Nick Litsardopoulos
@Nlitsardopoulos · X

@jburnmurdoch Some related material https://t.co/rbHZKXvjAu https://t.co/XFKSWhiaWH https://t.co/lOgONRbPFZ

Mar 1, 2021 · 756 followers View post →

All mentions

Nick Litsardopoulos
@Nlitsardopoulos · X

@jburnmurdoch Some related material https://t.co/rbHZKXvjAu https://t.co/XFKSWhiaWH https://t.co/lOgONRbPFZ

Mar 1, 2021 · 756 followers View post →