เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Endorsement Experiment× | Survey Experiment× | |
|---|---|---|
| สาขาวิชา | Political Science | Political Science |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด | 2011 | 2011 |
| ผู้ริเริ่ม≠ | Bullock, Imai & Shapiro (statistical framework) | Experimental political science; synthesized by Diana Mutz |
| ประเภท≠ | Indirect survey experiment for sensitive latent support | Randomized experiment embedded in a survey |
| แหล่งต้นตำรับ≠ | Bullock, W., Imai, K., & Shapiro, J. N. (2011). Statistical Analysis of Endorsement Experiments: Measuring Support for Militant Groups in Pakistan. Political Analysis, 19(4), 363–384. DOI ↗ | Mutz, D. C. (2011). Population-Based Survey Experiments. Princeton, NJ: Princeton University Press. ISBN: 9780691144528 |
| ชื่อเรียกอื่น | Endorsement question design, Endorsement experiment design, Indirect support measurement, Group-endorsement experiment | Population-based survey experiment, Survey-embedded experiment, Question-wording experiment, Framing experiment |
| ที่เกี่ยวข้อง | 4 | 4 |
| สรุป≠ | An endorsement experiment indirectly measures latent support for a sensitive or stigmatized actor by randomizing whether a policy is attributed to that actor and comparing how respondents' support for the policy shifts. Formalized statistically by Bullock, Imai, and Shapiro in 2011 to measure support for militant groups in Pakistan, the design infers favorability toward an actor that respondents would not safely disclose directly from the change in policy support it induces, typically estimated with hierarchical item-response models. | A survey experiment embeds a randomized experiment inside a survey: respondents are randomly assigned to different versions of a question, frame, or stimulus, and their answers are compared to estimate a causal effect. By combining the internal validity of randomization with the representative samples and rich measurement of survey research, survey experiments — especially population-based ones — let political scientists draw causal inferences about how information, framing, or message attributes shape public attitudes and behavior. |
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