{"id":12684,"date":"2021-01-19T23:17:00","date_gmt":"2021-01-20T07:17:00","guid":{"rendered":"https:\/\/oslc.nineplanetsllc.com\/blog\/publication\/enhancing-gender-and-ethnic-representativeness-of-ncha-ii-data-with-survey-weights-the-examples-of-substance-use-prevalence-and-state-marijuana-legalization\/"},"modified":"2023-04-13T15:39:06","modified_gmt":"2023-04-13T22:39:06","slug":"enhancing-gender-and-ethnic-representativeness-of-ncha-ii-data-with-survey-weights-the-examples-of-substance-use-prevalence-and-state-marijuana-legalization","status":"publish","type":"publication","link":"https:\/\/www.oslc.org\/es\/blog\/publication\/enhancing-gender-and-ethnic-representativeness-of-ncha-ii-data-with-survey-weights-the-examples-of-substance-use-prevalence-and-state-marijuana-legalization\/","title":{"rendered":"Enhancing gender and ethnic representativeness of NCHA-II data with survey weights: The examples of substance use prevalence and state marijuana legalization"},"content":{"rendered":"<p><strong>Objective<\/strong>: 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.\u00a0<strong>Participants\/Methods<\/strong>: We constructed weights for Fall 2015 and Spring 2016 surveys (<em>n<\/em>\u2009=\u200990,503) using population information on U.S. undergraduates\u2019 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.\u00a0<strong>Results<\/strong>: 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.\u00a0<strong>Conclusions<\/strong>: The value of using weighted NCHA-II data depends on the analysis and the precision required for the research questions.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_seopress_analysis_target_kw":"","site-sidebar-layout":null,"site-content-layout":null,"ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":null,"ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":null,"ast-breadcrumbs-content":null,"ast-featured-img":null,"footer-sml-layout":null,"ast-disable-related-posts":"","theme-transparent-header-meta":null,"adv-header-id-meta":null,"stick-header-meta":null,"header-above-stick-meta":null,"header-main-stick-meta":null,"header-below-stick-meta":null,"astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"publication_keyword":[1388,297,1514,1360,1515,130],"research_type":[10],"class_list":["post-12684","publication","type-publication","status-publish","hentry","publication_keyword-college-students","publication_keyword-ethnicity","publication_keyword-post-stratification-weights","publication_keyword-recreational-marijuana-legalization","publication_keyword-representativenenss","publication_keyword-substance-use","research_type-basic"],"acf":{"citation":"Kerr, D. C. R., Bae, H., &amp; Alley, Z. M. (2019). Enhancing gender and ethnic representativeness of NCHA-II data with survey weights: The examples of substance use prevalence and state marijuana legalization. <em>Journal of American College Health<\/em>, 1-8. doi:10.1080\/07448481.2019.1679151","publication_year":"2019","scientists":[10995,11086]},"_links":{"self":[{"href":"https:\/\/www.oslc.org\/es\/wp-json\/wp\/v2\/publication\/12684","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.oslc.org\/es\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/www.oslc.org\/es\/wp-json\/wp\/v2\/types\/publication"}],"acf:post":[{"embeddable":true,"href":"https:\/\/www.oslc.org\/es\/wp-json\/wp\/v2\/scientist\/11086"},{"embeddable":true,"href":"https:\/\/www.oslc.org\/es\/wp-json\/wp\/v2\/scientist\/10995"}],"wp:attachment":[{"href":"https:\/\/www.oslc.org\/es\/wp-json\/wp\/v2\/media?parent=12684"}],"wp:term":[{"taxonomy":"publication_keyword","embeddable":true,"href":"https:\/\/www.oslc.org\/es\/wp-json\/wp\/v2\/publication_keyword?post=12684"},{"taxonomy":"research_type","embeddable":true,"href":"https:\/\/www.oslc.org\/es\/wp-json\/wp\/v2\/research_type?post=12684"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}