Replication data for: The wisdom of crowds design for sensitive survey questions
| Item Type: | Dataset |
|---|---|
| Title: | Replication data for: The wisdom of crowds design for sensitive survey questions |
| Date: | 2020 |
| Creator: |
Lehrer, Roni  ORCID: 0000-0002-9202-9278 ; Juhl, Sebastian ORCID: 0000-0002-7123-5398 ; Gschwend, Thomas ORCID: 0000-0002-8656-9622
|
| Divisions: | Außerfakultäre Einrichtungen > SFB 884 Außerfakultäre Einrichtungen > MZES School of Social Sciences > Politische Wissenschaft, Quantitative Sozialwissenschaftliche Methoden (Gschwend 2007-) |
| DDC Classification: |
320 Political science |
|---|---|
| Abstract: | Survey research on sensitive questions is challenging because respondents often answer untruthfully or completely refuse to answer. Existing indirect questioning techniques address the problem of social desirability bias at the expense of decreasing estimates' efficiency. We suggest the Wisdom of Crowds survey design that does not pose a tradeoff between anonymity and efficiency as an alternative. We outline the conditions necessary for the technique to work and test them empirically. Moreover, we compare the Wisdom of Crowd estimate of a right-wing populist party's vote share to alternative indirect questioning techniques' estimates as well as to the official election result in the 2017 German federal election. Provided its conditions are met, the Wisdom of Crowds design performs best in terms of both bias and efficiency. We conclude that the Wisdom of Crowds design is an important addition to social scientists' survey methodology toolbox. (English) |
| External Identifier for Data: | https://doi.org/10.7910/DVN/KHIMOS |
| URL: | https://madata.bib.uni-mannheim.de/675/ |
|---|---|
| Access (Controlled): | Only Metadata |
| License (Controlled): | Creative Commons: CC0 | Universal 1.0 (recommended) |
| Related Publication(s) in MADOC: | Lehrer, Roni und Juhl, Sebastian und Gschwend, Thomas (2019), The wisdom of crowds design for sensitive survey questions |
Full text not available from this repository.
| Date Deposited: | 08 Apr 2026 15:06 |
|---|---|
| Last Modified: | 08 Apr 2026 15:06 |
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