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Matching Anonymous Pre-Posttests Using Subject-Generated Information

Author

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  • Joe McGloin

    (University of Colorado School of Medicine)

  • Sherry Holcomb

    (University of Colorado School of Medicine)

  • Deborah S. Main

    (University of Colorado School of Medicine)

Abstract

Sensitive research issues call for anonymous questionnaires. This makes accurately matching pretests with posttests difficult or impossible. Various subject-generated coding schemes have been developed, but their accuracy has been unknown. This anonymous study, with 745 students, used subject-generated coding to match pretests with posttests. The matching was verified for accuracy with the use of a collateral, anonymous, sticker identification system. The coding system was able to accurately match 75.2% of all the pretest-posttest pairs. An additional 22.1% of the pairs were left unmatched and only 2.7% were matched incorrectly. Subject-generated coding systems can be very effective where confidentiality is important to protect.

Suggested Citation

  • Joe McGloin & Sherry Holcomb & Deborah S. Main, 1996. "Matching Anonymous Pre-Posttests Using Subject-Generated Information," Evaluation Review, , vol. 20(6), pages 724-736, December.
  • Handle: RePEc:sae:evarev:v:20:y:1996:i:6:p:724-736
    DOI: 10.1177/0193841X9602000604
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