Unmatched Count Technique
The unmatched count technique (also called the item count technique or list experiment) is an indirect survey method for estimating the prevalence of sensitive attitudes or behaviors while protecting respondents' privacy. Respondents are randomly assigned to one of two versions of a question. The control group sees a list of several non-sensitive items and reports only how many of them apply to them; the treatment group sees the same list plus one additional sensitive item and likewise reports only the count. Because respondents report a number rather than which items apply, no one's answer reveals their stance on the sensitive item. The estimated prevalence of the sensitive attribute is simply the difference in mean counts between the treatment and control groups. By breaking the link between an individual and the sensitive item, the technique reduces social-desirability bias for topics like prejudice, illegal behavior, or stigmatized attitudes, as documented in validation work by Holbrook and Krosnick.
出典記録
引用は手法の出典記録からそのままコピーされています。それらからレベルごとの検証は推論されません。
- Holbrook, A. L., & Krosnick, J. A. (2010). Social desirability bias in voter turnout reports: Tests using the item count technique. Public Opinion Quarterly, 74(1), 37-67. · DOI 10.1093/poq/nfp065
- Ross, L., Greene, D., & House, P. (1977). The 'false consensus effect': An egocentric bias in social perception and attribution processes. Journal of Experimental Social Psychology, 13(3), 279-301. · DOI 10.1016/0022-1031(77)90049-X
キュレーションされた主張
主張は証拠台帳に永続化され、それぞれが独自の評価を持っています。
このビューは、台帳に主張評価がない場合、主張評価を生成しません。
関連手法
手法グラフから生成され、機械が提案した関係として表示されます — 証拠主張は推論されません。