title: Multiple regression analyses in clinical child and adolescent psychology.
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.
authors.affiliation: Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, USA. jjaccard@fiu.edu
authors.forename: James
authors.initials: J
authors.lastname: Jaccard
authors.forename: Vincent
authors.initials: V
authors.lastname: Guilamo-Ramos
authors.forename: Margaret
authors.initials: M
authors.lastname: Johansson
authors.forename: Alida
authors.initials: A
authors.lastname: Bouris
mesh_terms: D000293:Adolescent; D002648:Child; D006801:Humans; D000297:Psychology, Adolescent / Q000706:statistics & numerical data*; D002666:Psychology, Child / Q000706:statistics & numerical data*; D011586:Psychology, Clinical / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012107:Research Design