Matching Anonymous Pre-Posttests Using Subject-Generated Information

Joe McGloin, Sherry Holcomb and Deborah S. Main
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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

Evaluation Review, 1996, vol. 20, issue 6, 724-736

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.

Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:20:y:1996:i:6:p:724-736

DOI: 10.1177/0193841X9602000604

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