Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Clifford, Scott
Jewell, Ryan M
and
Waggoner, Philip D
2015.
Are samples drawn from Mechanical Turk valid for research on political ideology?.
Research & Politics,
Vol. 2,
Issue. 4,
Mullinix, Kevin J.
Leeper, Thomas J.
Druckman, James N.
and
Freese, Jeremy
2015.
The Generalizability of Survey Experiments.
Journal of Experimental Political Science,
Vol. 2,
Issue. 2,
p.
109.
Luttig, Matthew D.
and
Lavine, Howard
2016.
Issue Frames, Personality, and Political Persuasion.
American Politics Research,
Vol. 44,
Issue. 3,
p.
448.
Necka, Elizabeth A.
Cacioppo, Stephanie
Norman, Greg J.
Cacioppo, John T.
and
Wicherts, Jelte M.
2016.
Measuring the Prevalence of Problematic Respondent Behaviors among MTurk, Campus, and Community Participants.
PLOS ONE,
Vol. 11,
Issue. 6,
p.
e0157732.
Roy, Jason
and
Alcantara, Christopher
2016.
Fighting Fire with Fire: The Implications of (Not) Going Negative in a Multiparty Election Campaign.
Canadian Journal of Political Science,
Vol. 49,
Issue. 3,
p.
473.
Burnett, Craig M.
2016.
Exploring the difference in participants’ factual knowledge between online and in-person survey modes.
Research & Politics,
Vol. 3,
Issue. 2,
p.
205316801665432.
Robbins, Blaine G.
2016.
From the general to the specific: How social trust motivates relational trust.
Social Science Research,
Vol. 55,
Issue. ,
p.
16.
Clifford, Scott
and
Jerit, Jennifer
2016.
Cheating on Political Knowledge Questions in Online Surveys.
Public Opinion Quarterly,
Vol. 80,
Issue. 4,
p.
858.
Chandler, Jesse
and
Shapiro, Danielle
2016.
Conducting Clinical Research Using Crowdsourced Convenience Samples.
Annual Review of Clinical Psychology,
Vol. 12,
Issue. 1,
p.
53.
Hauser, David J.
and
Schwarz, Norbert
2016.
Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants.
Behavior Research Methods,
Vol. 48,
Issue. 1,
p.
400.
Beramendi, Pablo
Duch, Raymond M.
and
Matsuo, Akitaka
2016.
Comparing Modes and Samples in Experiments: When Lab Subjects Meet Real People.
SSRN Electronic Journal ,
Motta, Matthew P.
Callaghan, Timothy H.
and
Smith, Brianna
2016.
Looking for Answers: Identifying Search Behavior and Improving Knowledge-Based Data Quality in Online Surveys.
International Journal of Public Opinion Research,
p.
edw027.
Farrell, Anne M.
Grenier, Jonathan H.
and
Leiby, Justin
2017.
Scoundrels or Stars? Theory and Evidence on the Quality of Workers in Online Labor Markets.
The Accounting Review,
Vol. 92,
Issue. 1,
p.
93.
Thomas, Kyle A.
and
Clifford, Scott
2017.
Validity and Mechanical Turk: An assessment of exclusion methods and interactive experiments.
Computers in Human Behavior,
Vol. 77,
Issue. ,
p.
184.
Baele, Stéphane J.
and
Thomson, Catarina P.
2017.
An Experimental Agenda for Securitization Theory.
International Studies Review,
Vol. 19,
Issue. 4,
p.
646.
Lee, Yun
Seo, Yong Won
and
Siemsen, Enno
2017.
Running Behavioral Operations Experiments Using Amazon's Mechanical Turk.
SSRN Electronic Journal ,
Li, Xiaojun
Shi, Weiyi
and
Zhu, Boliang
2017.
The Face of Internet Recruitment: Evaluating the Labor Markets of Online Crowdsourcing Platforms in China.
SSRN Electronic Journal ,
Ariely, Gal
2017.
Remembrance Day influence on national sentiments and hostility towards out-groups: evidence from a panel study in Israel.
Ethnic and Racial Studies,
Vol. 40,
Issue. 14,
p.
2596.
Vezzoni, Cristiano
and
Ladini, Riccardo
2017.
Thou shalt not cheat: how to reduce internet use in web surveys on political knowledge.
Italian Political Science Review/Rivista Italiana di Scienza Politica,
Vol. 47,
Issue. 3,
p.
251.
Lotito, Nicholas
2017.
Security Reform during Democratic Transitions: Experimental Evidence from Tunisia.
SSRN Electronic Journal,