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Stop Apologizing for Your Samples, Start Embracing Them

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  • Zhu, Xiaoyuan (Susan)
  • Barnes-Farrell, Janet L.
  • Dalal, Dev K.

Abstract

Landers and Behrend (2015) call for editors and reviewers to resist using heuristics when evaluating samples in research as well as for researchers to cautiously consider choosing the samples appropriate for their research questions. Whereas we fully agree with the former conclusion, we believe the latter can be extended even further to encourage researchers to embrace the strengths of their samples for understanding their research rather than simply defending their samples. We believe that samples are not inherently better or worse but rather better suited for different research objectives. In this commentary, we identify three continua on which research goals can differ to demonstrate that all samples can inform science. Depending on the position of one's research on these continua, different samples exhibit different strengths; the continua described below can be used to anchor one's sample to demonstrate how it can benefit, rather than limit, research conclusions. As discussed in the focal article, researchers will often apologize for their convenience samples as one of a litany of limitations; we hope that researchers will move sampling issues out of the limitations section and into the main discussion.

Suggested Citation

  • Zhu, Xiaoyuan (Susan) & Barnes-Farrell, Janet L. & Dalal, Dev K., 2015. "Stop Apologizing for Your Samples, Start Embracing Them," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(2), pages 228-232, June.
  • Handle: RePEc:cup:inorps:v:8:y:2015:i:02:p:228-232_00
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