Feasibility, acceptability, and validity of crowdsourcing for collecting longitudinal alcohol use data.
Challenges to conducting longitudinal research include financial, time, and geographic constraints. An emerging sampling method positioned to address these concerns is crowdsourcing. This study evaluated the feasibility, acceptability, and validity of collecting intensive longitudinal alcohol use da...
| Publicado en: | Journal of the Experimental Analysis of Behavior Vol. 110; no. 1; pp. 136 - 154 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Jul2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=130646995&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 130646995 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00225002 JOE jtl: Journal of the Experimental Analysis of Behavior issn: 00225002 maglogo: Y pubinfo: dt: Jul2018 vid: 110 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 130646995 10.1002/jeab.445 ppf: 136 ppct: 18 formats: tig: atl: Feasibility, acceptability, and validity of crowdsourcing for collecting longitudinal alcohol use data. aug: au: Strickland, Justin C. Stoops, William W. affil: Department of Psychology, University of Kentucky College of Arts and Sciences Department of Behavioral Science, University of Kentucky College of Medicine Department of Psychiatry, University of Kentucky College of Medicine su: Crowdsourcing Alcoholism Alcohol drinking Human behavior Sampling (Process) sug: subj: Crowdsourcing Alcoholism Alcohol drinking Human behavior Drinking Places (Alcoholic Beverages) Sampling (Process) keyword: alcohol AUDIT human Mechanical Turk mTurk sampling soda alcohol AUDIT human Mechanical Turk mTurk sampling soda ab: Challenges to conducting longitudinal research include financial, time, and geographic constraints. An emerging sampling method positioned to address these concerns is crowdsourcing. This study evaluated the feasibility, acceptability, and validity of collecting intensive longitudinal alcohol use data with the crowdsourcing platform, Amazon.com's Mechanical Turk (mTurk). Participants (N = 278) recruited from mTurk provided weekly recordings of daily alcohol and soda use over an 18‐week period. Construct and external validity was evaluated using generalized linear mixed models describing associations of between‐subject (e.g., alcohol use severity) and within‐subject (e.g., day of week) variables with prospectively collected alcohol and soda use. High response rates were observed across the 18‐week period demonstrating feasibility (64.1%‐86.8%). The design was acceptable with 94% of participants indicating they were satisfied with the procedures. Multilevel models supported construct and external validity by replicating expected associations, such as more frequent and heavier drinking by individuals with higher AUDIT scores and on weekends. These effects were specific to alcohol use and did not extend to soda consumption. These data support the feasibility, acceptability, and validity of using mTurk for intensive longitudinal data collection. Future studies may leverage this platform to generate large, geographically diverse samples for prospective behavioral analytic research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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