Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Expert Survey× | Vignette Experiment× | |
|---|---|---|
| Nyanja | Political Science | Political Science |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili | — | — |
| Mwanzilishi≠ | Comparative party-positioning research (Castles & Mair; Chapel Hill team) | Survey and social-psychological research traditions |
| Aina≠ | Survey of subject-matter experts to measure latent positions | Randomized experiment using short described scenarios |
| Chanzo asilia≠ | Bakker, R., de Vries, C., Edwards, E., Hooghe, L., Jolly, S., Marks, G., Polk, J., Rovny, J., Steenbergen, M., & Vachudova, M. A. (2015). Measuring Party Positions in Europe: The Chapel Hill Expert Survey Trend File, 1999–2010. Party Politics, 21(1), 143–152. DOI ↗ | Atzmüller, C., & Steiner, P. M. (2010). Experimental Vignette Studies in Survey Research. Methodology, 6(3), 128–138. DOI ↗ |
| Majina mbadala | Expert judgment survey, Party expert survey, Chapel Hill Expert Survey, Expert placement survey | Vignette study, Experimental vignette, Scenario experiment, Text-vignette experiment |
| Zinazohusiana≠ | 4 | 3 |
| Muhtasari≠ | An expert survey measures latent political quantities — most often parties' positions on policy dimensions — by asking a panel of country and subject-matter experts to place the objects of interest on structured numerical scales. Averaging many experts' judgments yields position estimates, while the spread across experts provides a built-in measure of uncertainty and reliability. The Chapel Hill Expert Survey is the leading example, producing comparable measures of European parties' positions on ideology, European integration, and many specific issues over time. | A vignette experiment presents respondents with a short, carefully constructed description of a person, situation, or scenario — a vignette — in which one or more features are experimentally manipulated, and then asks for a judgment, attitude, or intended action. By randomizing which version of the scenario each respondent reads, the researcher isolates the causal effect of each manipulated feature on the elicited judgment, combining the realism of a concrete scenario with the causal leverage of an experiment. |
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