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...

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Publicado en:Social Science Quarterly (Wiley-Blackwell) Vol. 99; no. 4; pp. 1535 - 1547
Autores principales: Lu, Tao, Franklin, Aimee L.
Formato: Artículo
Publicado: Wiley-Blackwell Dec2018
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2018
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        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
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