A Protocol for Identifying and Sampling From Proxy Populations.
Objectives: Increasingly it is more and more difficult for researchers to garner a robust response rate from their target population. In response, they often turn to more accessible proxy populations. However, guidance on how to identify and select a proxy population that reasonably mimics the targe...
| Publicado en: | Social Science Quarterly (Wiley-Blackwell) Vol. 99; no. 4; pp. 1535 - 1547 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Dec2018
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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=132784078&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 132784078 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00384941 SSQ jtl: Social Science Quarterly (Wiley-Blackwell) issn: 00384941 maglogo: Y pubinfo: dt: Dec2018 vid: 99 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 132784078 10.1111/ssqu.12519 ppf: 1535 ppct: 12 formats: tig: atl: A Protocol for Identifying and Sampling From Proxy Populations. aug: au: Lu, Tao Franklin, Aimee L. affil: University of Oklahoma su: Population Relationship quality Classified catalogs Sampling (Process) Causal relations (Linguistics) sug: subj: Population Relationship quality Classified catalogs Sampling (Process) Causal relations (Linguistics) ab: Objectives: Increasingly it is more and more difficult for researchers to garner a robust response rate from their target population. In response, they often turn to more accessible proxy populations. However, guidance on how to identify and select a proxy population that reasonably mimics the target population is neither expansive nor systematic. Our objective is to fill this gap by offering a standardized protocol for selecting appropriate population. We introduce a proxy selection protocol that combines convenience with purposive nonprobability sampling. Methods: The protocol introduces a method following a step‐by‐step process to evaluate the suitability of a different potential proxy populations as a reasonable representation of the target population. Results and Conclusion: We come to an conclusion that this proxy selection protocol can overcome low response rates and avoid contamination of a limited target population when conducting exploratory or early‐stage explanatory research of potential causal relationships. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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