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Incorporating public values into evaluative criteria: Using crowdsourcing to identify criteria and standards

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  • Harman, Elena
  • Azzam, Tarek

Abstract

At its core, evaluation involves the generation of value judgments. These evaluative judgments are based on comparing an evaluand’s performance to what the evaluand is supposed to do (criteria) and how well it is supposed to do it (standards). The aim of this four-phase study was to test whether criteria and standards can be set via crowdsourcing, a potentially cost- and time-effective approach to collecting public opinion data. In the first three phases, participants were presented with a program description, then asked to complete a task to either identify criteria (phase one), weigh criteria (phase two), or set standards (phase three). Phase four found that the crowd-generated criteria were high quality; more specifically, that they were clear and concise, complete, non-overlapping, and realistic. Overall, the study concludes that crowdsourcing has the potential to be used in evaluation for setting stable, high-quality criteria and standards.

Suggested Citation

  • Harman, Elena & Azzam, Tarek, 2018. "Incorporating public values into evaluative criteria: Using crowdsourcing to identify criteria and standards," Evaluation and Program Planning, Elsevier, vol. 71(C), pages 68-82.
  • Handle: RePEc:eee:epplan:v:71:y:2018:i:c:p:68-82
    DOI: 10.1016/j.evalprogplan.2018.08.004
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    References listed on IDEAS

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    1. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    2. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
    3. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    4. Azzam, Tarek & Harman, Elena, 2016. "Crowdsourcing for quantifying transcripts: An exploratory study," Evaluation and Program Planning, Elsevier, vol. 54(C), pages 63-73.
    5. Geist, Monica R., 2010. "Using the Delphi method to engage stakeholders: A comparison of two studies," Evaluation and Program Planning, Elsevier, vol. 33(2), pages 147-154, May.
    6. Patton, Michael Quinn & Horton, Douglas, 2008. "Utilization-focused evaluation for agricultural innovation," ILAC Briefs 52533, Institutional Learning and Change (ILAC) Initiative.
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    Cited by:

    1. Teasdale, Rebecca M., 2022. "Representing the values of program participants: Endogenous evaluative criteria," Evaluation and Program Planning, Elsevier, vol. 94(C).
    2. Kazak Jan K. & Simeunović Nataša & Hendricks Andreas, 2019. "Hidden Public Value Identification of Real Estate Management Decisions," Real Estate Management and Valuation, Sciendo, vol. 27(4), pages 96-104, December.
    3. Haeussler, Carolin & Vieth, Sabrina, 2022. "A question worth a million: The expert, the crowd, or myself? An investigation of problem solving," Research Policy, Elsevier, vol. 51(3).

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