{"title":"Fraud in Online Surveys: Evidence from a Nonprobability, Subpopulation Sample","authors":"Andrew M. Bell, Thomas Gift","doi":"10.1017/XPS.2022.8","DOIUrl":null,"url":null,"abstract":"Abstract We hired a well-known market research firm whose surveys have been published in leading political science journals, including JEPS. Based on a set of rigorous “screeners,” we detected what appears to be exceedingly high rates of identity falsification: over 81 percent of respondents seemed to misrepresent their credentials to gain access to the survey and earn compensation. Similarly high rates of presumptive character falsification were present in panels from multiple sub-vendors procured by the firm. Moreover, we found additional, serious irregularities embedded in the data, including evidence of respondents using deliberate strategies to detect and circumvent one of our screeners, as well as pervasive, observable patterns reflecting that the survey had been taken repeatedly by a respondent or collection of respondents. This evidence offers reasons to be concerned about the quality of online nonprobability, subpopulation samples, and calls for further, systematic research.","PeriodicalId":37558,"journal":{"name":"Journal of Experimental Political Science","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental Political Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/XPS.2022.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract We hired a well-known market research firm whose surveys have been published in leading political science journals, including JEPS. Based on a set of rigorous “screeners,” we detected what appears to be exceedingly high rates of identity falsification: over 81 percent of respondents seemed to misrepresent their credentials to gain access to the survey and earn compensation. Similarly high rates of presumptive character falsification were present in panels from multiple sub-vendors procured by the firm. Moreover, we found additional, serious irregularities embedded in the data, including evidence of respondents using deliberate strategies to detect and circumvent one of our screeners, as well as pervasive, observable patterns reflecting that the survey had been taken repeatedly by a respondent or collection of respondents. This evidence offers reasons to be concerned about the quality of online nonprobability, subpopulation samples, and calls for further, systematic research.
期刊介绍:
The Journal of Experimental Political Science (JEPS) features cutting-edge research that utilizes experimental methods or experimental reasoning based on naturally occurring data. We define experimental methods broadly: research featuring random (or quasi-random) assignment of subjects to different treatments in an effort to isolate causal relationships in the sphere of politics. JEPS embraces all of the different types of experiments carried out as part of political science research, including survey experiments, laboratory experiments, field experiments, lab experiments in the field, natural and neurological experiments. We invite authors to submit concise articles (around 4000 words or fewer) that immediately address the subject of the research. We do not require lengthy explanations regarding and justifications of the experimental method. Nor do we expect extensive literature reviews of pros and cons of the methodological approaches involved in the experiment unless the goal of the article is to explore these methodological issues. We expect readers to be familiar with experimental methods and therefore to not need pages of literature reviews to be convinced that experimental methods are a legitimate methodological approach. We will consider longer articles in rare, but appropriate cases, as in the following examples: when a new experimental method or approach is being introduced and discussed or when novel theoretical results are being evaluated through experimentation. Finally, we strongly encourage authors to submit manuscripts that showcase informative null findings or inconsistent results from well-designed, executed, and analyzed experiments.