The (Non) Religion of Mechanical Turk Workers
Datos Bibliográficos
| ID | 2287757 |
|---|---|
| Autores | Andrew R Lewis (0000-0002-5291-0175, Department of Political Science University of Cincinnati, autor de correspondencia), Paul A Djupe (0000-0001-6944-429X, Department of Political Science Denison University), Stephen T Mockabee (0000-0002-3808-1614, Department of Political Science University of Cincinnati), Joshua Su‐ya Wu (Department of Political Science The Ohio State University) |
| Año | 2015 |
| Volumen | 54 |
| Número | 2 |
| Páginas | 419-428 |
| Fecha de publicación | 2015-05-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal for the Scientific Study of Religion (JOURNAL) |
| Identificadores de la revista | ISSN: 0021-8294 • E-ISSN: 1468-5906 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/jssr.12184 |
| OpenAlex | W2171495873 |
| Idioma | EN |
| Citas recibidas | 49 |
| Referencias citadas | 13 |
Social science researchers have increasingly come to utilize Amazon's Mechanical Turk (MTurk) to obtain adult, opt-in samples for use with experiments. Based on the demographic characteristics of MTurk samples, studies have provided some support for the representativeness of MTurk. Others have warranted caution based on demographic characteristics and comparisons of reliability. Yet, what is missing is an examination of the most glaring demographic difference in MTurk-religion. We compare five MTurk samples with a student convenience sample and the 2012 General Social Survey, finding that MTurk samples have a consistent bias toward nonreligion. MTurk surveys significantly overrepresent seculars and underrepresent Catholics and evangelical Protestants. We then compare the religiosity of religious identifiers across samples as well as relationships between religiosity and partisanship, finding many similarities and a few important differences from the general population
Amazon rainforest · Biology · Census · Population · Religiosity · Representativeness heuristic · Sample (material) · Sociology · Demography · Experimental Behavioral Economics Studies · Mobile Crowdsensing and Crowdsourcing · Psychology · Social Media and Politics · Social Psychology
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| Obras citantes distintas | 49 |
|---|---|
| Citas por año | 4,9 |
| Intervalo de citas | 2016 - 2026 (11) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 46 |