Experimental Vignette Studies in Survey Research
Experimental Vignette Studies in Survey Research
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DOI：
10.1027/1614-2241/a000014
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发表时间：
2010-01-01
影响因子：
3.1
通讯作者：
Steiner, Peter M.
中科院分区：
文献类型：
--
作者：
Atzmueller, Christiane;Steiner, Peter M.
小插曲研究使用通常在调查中向受访者展示的情况或人员的简短描述（小插曲），以引起他们对这些情景的判断。通过系统地改变理论上重要的小插曲特征的水平，通常可以获得大量不同的小插曲-太大而无法呈现给每个受访者。因此，每个受访者只得到一个小插曲的子集。这些子集可以按照析因调查的传统随机选择，也可以根据实验设计系统地选择。我们发现，这些策略在选择小插曲集有很强的影响，小插曲数据的分析和解释。随机选择策略导致随机混杂效应，并且严重依赖于无交互作用效应的假设。与此相反，实验策略系统地混淆的主要或设置的影响，从而保留了一个有意义的解释主要和重要的相互作用的影响。使用试点研究对移民的态度，我们展示了一个混杂因子设计的实施和分析。
Vignette studies use short descriptions of situations or persons (vignettes) that are usually shown to respondents within surveys in order to elicit their judgments about these scenarios. By systematically varying the levels of theoretically important vignette characteristics a large population of different vignettes is typically available - too large to be presented to each respondent. Therefore, each respondent gets only a subset of vignettes. These subsets may either be randomly selected in following the tradition of the factorial survey or systematically selected according to an experimental design. We show that these strategies in selecting vignette sets have strong implications for the analysis and interpretation of vignette data. Random selection strategies result in a random confounding of effects and heavily rely on the assumption of no interaction effects. In contrast, experimental strategies systematically confound interaction effects with main or set effects, thereby preserving a meaningful interpretation of main and important interaction effects. Using a pilot study on attitudes toward immigrants we demonstrate the implementation and analysis of a confounded factorial design.