Fitxers

709199-Riambau.pdf (660.2 KB)

Tipus de document

Article

Versió

Versió acceptada

Data de publicació

2021-01

Tots els drets reservats

Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/175443

Placebo statements in list experiments: Evidence from a face-to-face survey in Singapore

Títol de la revista

Autors

Director/Tutor

Contribució addicional

ISSN de la revista

Títol del volum

Resum

List experiments are a widely used survey technique for estimating the prevalence of socially sensitive attitudes or behaviors. Their design, however, makes them vulnerable to bias: because treatment group respondents see a greater number of items (J + 1) than control group respondents (J), the treatment group mean may be mechanically inflated due simply to the greater number of items. The few previous studies that directly examine this do not arrive at definitive conclusions. We find clear evidence of inflation in an original dataset, though only among respondents with low educational attainment. Furthermore, we use available data from previous studies and find similar heterogeneous patterns. The evidence of heterogeneous effects has implications for the interpretation of previous research using list experiments, especially in developing world contexts. We recommend a simple solution: using a necessarily false placebo statement for the control group equalizes list lengths, thereby protecting against mechanical inflation without imposing costs or altering interpretations.

Recurs relacionat

https://doi.org/10.1017/psrm.2020.18

Matèries

Mètodes experimentals, Placebos, Enquestes, Singapur

Matèries (anglès)

Experimental methods, Placebos (Medicine), Surveys, Singapore

Citació

Col·leccions

Articles publicats en revistes (Economia)

Citació

RIAMBAU ARMET, Guillem and OSTWALD, Kai. Placebo statements in list experiments: Evidence from a face-to-face survey in Singapore. Political Science Research and Methods. 2021. Vol. 9, num. 1, pags. 172-179. ISSN 2049-8470. [consulted: 11 of October of 2026]. Available at: https://hdl.handle.net/2445/175443

Exportar metadades

JSON - METS

Compartir registre