Enhancing gender and ethnic representativeness of NCHA-II data with survey weights: The examples of substance use prevalence and state marijuana legalization
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. Participants/Methods: We constructed weights for Fa...
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| Veröffentlicht in: | Journal of American college health 2021-06, Vol.69 (4), p.370-377 |
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| container_title | Journal of American college health |
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| creator | Kerr, David C. R. Bae, Harold Alley, Zoe M. |
| description | 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. Participants/Methods: We constructed weights for Fall 2015 and Spring 2016 surveys (n = 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. Results: 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. Conclusions: The value of using weighted NCHA-II data depends on the analysis and the precision required for the research questions. |
| doi_str_mv | 10.1080/07448481.2019.1679151 |
| format | Article |
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R. ; Bae, Harold ; Alley, Zoe M.</creator><creatorcontrib>Kerr, David C. R. ; Bae, Harold ; Alley, Zoe M.</creatorcontrib><description>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. Participants/Methods: We constructed weights for Fall 2015 and Spring 2016 surveys (n = 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. Results: 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. Conclusions: The value of using weighted NCHA-II data depends on the analysis and the precision required for the research questions.</description><identifier>ISSN: 0744-8481</identifier><identifier>EISSN: 1940-3208</identifier><identifier>DOI: 10.1080/07448481.2019.1679151</identifier><language>eng</language><publisher>Washington: Taylor & Francis</publisher><subject>Cigarettes ; College students ; Drinking ; Drug legalization ; Drug policy ; Drug use ; Ethnicity ; Gender ; Gender Differences ; Geographic Regions ; Incidence ; Institutional Characteristics ; Legalization ; Marijuana ; Opioids ; Polls & surveys ; post-stratification weights ; Race ; Racial Differences ; recreational marijuana legalization ; Representativeness ; Smoking ; State Policy ; Stratification ; Student Characteristics ; Substance Abuse ; substance use ; Undergraduate Students</subject><ispartof>Journal of American college health, 2021-06, Vol.69 (4), p.370-377</ispartof><rights>2019 Taylor & Francis Group, LLC 2019</rights><rights>2019 Taylor & Francis Group, LLC</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-841f357f60706503d3e3fb445b75efdf257c66cfc67cf4e53397d85583b6d1063</citedby><cites>FETCH-LOGICAL-c393t-841f357f60706503d3e3fb445b75efdf257c66cfc67cf4e53397d85583b6d1063</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,30999</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1297159$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Kerr, David C. R.</creatorcontrib><creatorcontrib>Bae, Harold</creatorcontrib><creatorcontrib>Alley, Zoe M.</creatorcontrib><title>Enhancing gender and ethnic representativeness of NCHA-II data with survey weights: The examples of substance use prevalence and state marijuana legalization</title><title>Journal of American college health</title><description>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. Participants/Methods: We constructed weights for Fall 2015 and Spring 2016 surveys (n = 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. Results: 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. Conclusions: The value of using weighted NCHA-II data depends on the analysis and the precision required for the research questions.</description><subject>Cigarettes</subject><subject>College students</subject><subject>Drinking</subject><subject>Drug legalization</subject><subject>Drug policy</subject><subject>Drug use</subject><subject>Ethnicity</subject><subject>Gender</subject><subject>Gender Differences</subject><subject>Geographic Regions</subject><subject>Incidence</subject><subject>Institutional Characteristics</subject><subject>Legalization</subject><subject>Marijuana</subject><subject>Opioids</subject><subject>Polls & surveys</subject><subject>post-stratification weights</subject><subject>Race</subject><subject>Racial Differences</subject><subject>recreational marijuana legalization</subject><subject>Representativeness</subject><subject>Smoking</subject><subject>State Policy</subject><subject>Stratification</subject><subject>Student Characteristics</subject><subject>Substance Abuse</subject><subject>substance use</subject><subject>Undergraduate Students</subject><issn>0744-8481</issn><issn>1940-3208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp9kc1uEzEUhUcIJELhESpZYsNmgj0e_wwrqijQVBXdtGvL8VxnHE08wfYkpO_Sd8VDShcsWFnW-c499-oUxSXBc4Il_oxFXctaknmFSTMnXDSEkVfFjDQ1LmmF5etiNjHlBL0t3sW4xRiTSjaz4mnpO-2N8xu0Ad9CQNq3CFLnnUEB9gEi-KSTO4CHGNFg0Y_F9VW5WqFWJ42OLnUojuEAJ3QEt-lS_ILuO0DwS-_2PfxxxHEdU04BNEZAeeZB9zB9p6ysJEA7Hdx21F6jHja6d485cvDvizdW9xE-PL8XxcO35f3iury9-75aXN2WhjY05buIpUxYjgXmDNOWArXrumZrwcC2tmLCcG6s4cLYGhiljWglY5KueUswpxfFp_PcfRh-jhCT2rlooO-1h2GMqqKZ4g2WLKMf_0G3wxh83k5VjArJuRQ4U-xMmTDEGMCqfXD5xpMiWE2lqb-lqak09Vxa9l2efRCcefEsb0jVCMKarH89687bIez0cQh9q5I-9UOwYSoyKvr_iN9llak7</recordid><startdate>20210608</startdate><enddate>20210608</enddate><creator>Kerr, David C. R.</creator><creator>Bae, Harold</creator><creator>Alley, Zoe M.</creator><general>Taylor & Francis</general><general>Taylor & Francis Inc</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20210608</creationdate><title>Enhancing gender and ethnic representativeness of NCHA-II data with survey weights: The examples of substance use prevalence and state marijuana legalization</title><author>Kerr, David C. R. ; Bae, Harold ; Alley, Zoe M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-841f357f60706503d3e3fb445b75efdf257c66cfc67cf4e53397d85583b6d1063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cigarettes</topic><topic>College students</topic><topic>Drinking</topic><topic>Drug legalization</topic><topic>Drug policy</topic><topic>Drug use</topic><topic>Ethnicity</topic><topic>Gender</topic><topic>Gender Differences</topic><topic>Geographic Regions</topic><topic>Incidence</topic><topic>Institutional Characteristics</topic><topic>Legalization</topic><topic>Marijuana</topic><topic>Opioids</topic><topic>Polls & surveys</topic><topic>post-stratification weights</topic><topic>Race</topic><topic>Racial Differences</topic><topic>recreational marijuana legalization</topic><topic>Representativeness</topic><topic>Smoking</topic><topic>State Policy</topic><topic>Stratification</topic><topic>Student Characteristics</topic><topic>Substance Abuse</topic><topic>substance use</topic><topic>Undergraduate Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kerr, David C. R.</creatorcontrib><creatorcontrib>Bae, Harold</creatorcontrib><creatorcontrib>Alley, Zoe M.</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of American college health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kerr, David C. R.</au><au>Bae, Harold</au><au>Alley, Zoe M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1297159</ericid><atitle>Enhancing gender and ethnic representativeness of NCHA-II data with survey weights: The examples of substance use prevalence and state marijuana legalization</atitle><jtitle>Journal of American college health</jtitle><date>2021-06-08</date><risdate>2021</risdate><volume>69</volume><issue>4</issue><spage>370</spage><epage>377</epage><pages>370-377</pages><issn>0744-8481</issn><eissn>1940-3208</eissn><abstract>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. Participants/Methods: We constructed weights for Fall 2015 and Spring 2016 surveys (n = 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. Results: 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. Conclusions: The value of using weighted NCHA-II data depends on the analysis and the precision required for the research questions.</abstract><cop>Washington</cop><pub>Taylor & Francis</pub><doi>10.1080/07448481.2019.1679151</doi><tpages>8</tpages></addata></record> |
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| ispartof | Journal of American college health, 2021-06, Vol.69 (4), p.370-377 |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); EBSCOhost Education Source |
| subjects | Cigarettes College students Drinking Drug legalization Drug policy Drug use Ethnicity Gender Gender Differences Geographic Regions Incidence Institutional Characteristics Legalization Marijuana Opioids Polls & surveys post-stratification weights Race Racial Differences recreational marijuana legalization Representativeness Smoking State Policy Stratification Student Characteristics Substance Abuse substance use Undergraduate Students |
| title | Enhancing gender and ethnic representativeness of NCHA-II data with survey weights: The examples of substance use prevalence and state marijuana legalization |
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