Multiple Regression and Correlation Techniques: Recent Controversies and Best Practices

William T. Hoyt, Zac E. Imel, Fong Chan

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

Objective: This article presumes familiarity with the basics of multiple regression and correlation (MRC) methods and addresses recent controversies and emerging innovations. Areas of emphasis include linking analyses to theory-driven hypotheses, treatment of covariates in hierarchical regression models, recent debates about the testing of mediator and moderator hypotheses, and incorporating confidence intervals into reports of findings using MRC. Conclusions: Two important conceptual innovations (linking analyses closely to theory-derived hypotheses; focusing interpretations on effect sizes and confidence intervals rather than p values) can increase the scientific yield for researchers making use of MRC methods in rehabilitation psychology.

Original languageEnglish
Pages (from-to)321-339
Number of pages19
JournalRehabilitation Psychology
Volume53
Issue number3
DOIs
Publication statusPublished - 2008 Aug 1

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Practice Guidelines
Confidence Intervals
Rehabilitation
Research Personnel
Psychology
Therapeutics
Recognition (Psychology)

All Science Journal Classification (ASJC) codes

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Rehabilitation
  • Clinical Psychology
  • Psychiatry and Mental health

Cite this

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Multiple Regression and Correlation Techniques : Recent Controversies and Best Practices. / Hoyt, William T.; Imel, Zac E.; Chan, Fong.

In: Rehabilitation Psychology, Vol. 53, No. 3, 01.08.2008, p. 321-339.

Research output: Contribution to journalArticle

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