Experimental Vignette Studies in Survey Research

By C. Atzmüller, Peter M. Steiner. 2010

984 citations recorded by the source corpus.

Subfields: Gender Studies, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/92d4352b123d9572f420a72418349c78f3bc54d7

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Citations in the corpus

Comparing data characteristics and results of an online factorial survey between a population-based and a crowdsource-recruited sample (2014, background): “…whether used in person or via mail, can introduce issues with tracking randomizations; they also often use only a limited number of all the vignettes that would be possible if conditions were assigned independently, which can introduce confounding across conditions (Atzmüller and Steiner 2010).”
Designing Valid and Reliable Vignette Experiments for Survey Research: A Case Study on the Fair Gender Income Gap (2017, methodology): “Though randomly generating vignette sets is easier to implement than a confounded factorial design, it might result in random confounding and a loss in efficiency (Atzmüller & Steiner, 2010; Su & Steiner, 2016).”
Best Practice Recommendations for Designing and Implementing Experimental Vignette Methodology Studies (2014, methodology): “True between-person designs are uncommon, especially when judgments are used as the dependent variable (Atzmüller & Steiner, 2010).”
Dispositional Sources of Managerial Discretion: CEO Ideology, CEO Personality, and Firm Strategies (2018, background): “…and which is recommended for behavioral research because it strikes a good balance between internal validity (allowing external manipulation and control) and external validity (realistic scenarios presented to participants sampled from the population of interest) (Atzmüller and Steiner, 2010).”
The Application of Factorial Surveys in General Population Samples: The Effects of Respondent Age and Education on Response Times and Response Consistency (2011, background): “These designs ensure that the influence of vignette dimensions and interaction terms are mutually uncorrelated (Atzmüller and Steiner 2010; Dülmer 2007).”
Privacy Expectations and Preferences in an IoT World (2017, background): “Randomly selecting subsets of 14 scenarios could have caused interaction effects due to a lack of diversity in each factor (e.g., presenting only one retention time on otherwise diverse scenarios) [3].”
Shared identity and shared information in social media: development and validation of the identity bubble reinforcement scale (2018, methodology): “The within-subject effect of group influence was calculated as the level of interest toward content that other group members (respondents in the control condition) had liked, minus the interest in vignettes that others had disliked (for a similar calculation, see Atzmüller & Steiner, 2010).”
Designing Entrepreneurship Experiments (2017, background): “Vignettes are also commonly used to model entrepreneurial contexts where decision choices may change over time or choice paths diverge (Aguinis & Bradley, 2014; Atzmüller & Steiner, 2010).”
Highly automated job interviews: Acceptance under the influence of stakes (2019, positive): “Compared to asking participants to imagine themselves being in a situation (as in, e.g., Atzmüller & Steiner, 2010; Shelton & Stewart, 2004), we followed Lee (2018) and introduced participants to an ob‐ server role, which, we believe, has two advantages: (a) Participants can judge the situation as…”
On making experimental design choices: Discussions on the use and challenges of demand effects, incentives, deception, samples, and vignettes (2020, background): “Benefits of vignette studies are that they overcome weak external validity of traditional experiments, cover a broad range of relevant factors, and increase “the generalizability of context specific results” (Atzmüller & Steiner, 2010, p. 137).”