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Direct linkWidaman, Keith F.; Helm, Jonathan L.; Castro-Schilo, Laura; Pluess, Michael; Stallings, Michael C.; Belsky, Jay – Psychological Methods, 2012
Re-parameterized regression models may enable tests of crucial theoretical predictions involving interactive effects of predictors that cannot be tested directly using standard approaches. First, we present a re-parameterized regression model for the Linear x Linear interaction of 2 quantitative predictors that yields point and interval estimates…
Descriptors: Regression (Statistics), Predictor Variables, Models, Equations (Mathematics)
Strobl, Carolin; Malley, James; Tutz, Gerhard – Psychological Methods, 2009
Recursive partitioning methods have become popular and widely used tools for nonparametric regression and classification in many scientific fields. Especially random forests, which can deal with large numbers of predictor variables even in the presence of complex interactions, have been applied successfully in genetics, clinical medicine, and…
Descriptors: Artificial Intelligence, Decision Making, Psychological Studies, Research Methodology
