@article{ref1,
title="Enhancing gender and ethnic representativeness of NCHA-II data with survey weights: the examples of substance use prevalence and state marijuana legalization",
journal="Journal of American college health",
year="2019",
author="Kerr, David C. R. and Bae, Harold and Alley, Zoe M.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="<b>Objective</b>: We evaluated how applying post-stratification sampling weights to National College Health Assessment II (NCHA-II) data affects estimates of substance use prevalence and tests of medical and recreational marijuana legalization (MML and RML) effects. <b>Participants/Methods</b>: We constructed weights for Fall 2015 and Spring 2016 surveys (<i>n</i> = 90,503) using population information on U.S. undergraduates' gender and race/ethnicity and three institutional characteristics (region, city population, public/private). We estimated substance use prevalence (e.g., e-cigarettes, prescription opioid misuse) and compared 30-day marijuana use rates in states with RML, MML, or neither policy. <b>Results</b>: When unweighted versus weighted data were used, prevalence estimates did not differ appreciably; conclusions from logistic regressions were similar (weighted 30-day marijuana use rates among undergraduates in RML, MML, and non-ML states were 30.0%, 20.3%, and 16.3%, respectively) but effect sizes differed. <b>Conclusions</b>: The value of using weighted NCHA-II data depends on the analysis and the precision required for the research questions.<p /> <p>Language: en</p>",
language="en",
issn="0744-8481",
doi="10.1080/07448481.2019.1679151",
url="http://dx.doi.org/10.1080/07448481.2019.1679151"
}