title: Identifying criterion-related patterns of predictor scores using multiple regression.
abstract: Along with examples involving vocational interests and mathematics achievement, the authors describe a multiple regression based, pattern recognition procedure that can be used to identify a pattern of predictor scores associated with high scores on a criterion variable. This pattern is called the criterion pattern. After the criterion pattern has been identified, a second regression procedure can be used to estimate the proportion of variation attributable to the criterion pattern. Cross-validation can then be used to estimate the variation attributable to a criterion pattern derived from regression weights estimated in another sample. Finally, issues of criterion pattern invariance and interpretation are discussed.
authors.affiliation: Department of Educational Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA. mld@umn.edu
authors.forename: Mark L
authors.initials: ML
authors.lastname: Davison
authors.forename: Ernest C
authors.initials: EC
authors.lastname: Davenport
mesh_terms: D000124:Achievement; D006801:Humans; D008433:Mathematics; D008960:Models, Psychological; D010554:Personality Disorders / Q000175:diagnosis; D010555:Personality Inventory; D011584:Psychology / Q000379:methods*; D012044:Regression Analysis; D014830:Vocational Guidance