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• W1630500319 abstract "Binary recursive partitioning (BRP) is a computationally intensive statistical method that can be used in situations where linear models are often used. Instead of imposing many assumptions to arrive at a tractable statistical model, BRP simply seeks to accurately predict a response variable based on values of predictor variables. The method outputs a decision tree depicting the predictor variables that were related to the response variable, along with the nature of the variables' relationships. No significance tests are involved, and the tree's ‘goodness’ is judged based on its predictive accuracy. In this paper, we describe BRP methods in a detailed manner and illustrate their use in psychological research. We also provide R code for carrying out the methods." @default.
• W1630500319 created "2016-06-24" @default.
• W1630500319 creator A5039277792 @default.
• W1630500319 creator A5060130557 @default.
• W1630500319 date "2011-01-25" @default.
• W1630500319 modified "2023-09-26" @default.
• W1630500319 title "Binary recursive partitioning: Background, methods, and application to psychology" @default.
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• W1630500319 doi "https://doi.org/10.1348/000711010x503129" @default.
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