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Identifying criterion-related patterns of predictor scores using multiple regression.

Mark L Davison·Ernest C Davenport
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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.

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AchievementHumansMathematicsModels, PsychologicalPersonality DisordersPersonality InventoryPsychologyRegression AnalysisVocational GuidanceJournal ArticleResearch Support, Non-U.S. Gov't

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Mark L Davison, Ernest C Davenport. 2002. Identifying criterion-related patterns of predictor scores using multiple regression.. https://doi.org/10.1037/1082-989x.7.4.468

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