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Comparison of Regression and Tree Analyses for Predicting Alcohol-Related Problems

Abstract Problems related to alcohol consumption cause not only extra economic expenses, but are an expense to the health of both drinkers and non-drinkers due to the harm directly and indirectly caused by alcohol consumption. Investigating predictors and reasons for alcohol-related problems is of importance, as alcohol-related problems could be prevented by quitting or limiting consumption of alcohol. We were interested in predicting alcohol-related problems using multiple linear regression and regression trees, and then comparing the regressions to the tree. Impaired control, anxiety sensitivity, mother permissiveness, father permissiveness, gender, and age were included as predictors. The data used was comprised of participants (n=835) sampled fr... (more)
Created Date 2016-12
Contributor Voorhies, Kirsten Reed (Author) / McCulloch, Robert (Thesis Director) / Zheng, Yi (Committee Member) / Patock-Peckham, Julie (Committee Member) / School of Mathematical and Statistical Sciences / Department of Psychology / Barrett, The Honors College
Subject Statistics / Psychology / Alcohol-related Problems
Series Academic Year 2016-2017
Type Text
Extent 24 pages
Language English
Reuse Permissions All Rights Reserved
Collaborating Institutions Barrett, the Honors College
Additional Formats MODS / OAI Dublin Core / RIS

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