Multiple regression analyses in clinical child and adolescent psychology

James Jaccard, Vincent Guilamo-Ramos, Margaret Johansson, Alida Bouris

Research output: Contribution to journalReview article

Abstract

A major form of data analysis in clinical child and adolescent psychology is multiple regression. This article reviews issues in the application of such methods in light of the research designs typical of this field. Issues addressed include controlling covariates, evaluation of predictor relevance, comparing predictors, analysis of moderation, analysis of mediation, assumption violations, outliers, limited dependent variables, and directed regression and its relation to structural equation modeling. Analytic guidelines are provided within each domain.

Original languageEnglish (US)
Pages (from-to)456-479
Number of pages24
JournalJournal of Clinical Child and Adolescent Psychology
Volume35
Issue number3
DOIs
StatePublished - 2006

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Adolescent Psychology
Child Psychology
Clinical Psychology
Research Design
Regression Analysis
Guidelines

ASJC Scopus subject areas

  • Developmental and Educational Psychology
  • Clinical Psychology

Cite this

Multiple regression analyses in clinical child and adolescent psychology. / Jaccard, James; Guilamo-Ramos, Vincent; Johansson, Margaret; Bouris, Alida.

In: Journal of Clinical Child and Adolescent Psychology, Vol. 35, No. 3, 2006, p. 456-479.

Research output: Contribution to journalReview article

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