{"title":"Investigating selection bias of online surveys on coronavirus-related behavioral outcomes","authors":"Ines Schaurer, Bernd Weiss","doi":"10.18148/SRM/2020.V14I2.7751","DOIUrl":null,"url":null,"abstract":"The coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where par-ticipants select themselves. The results are, nevertheless, often generalized to the general pop-ulation. In our paper we investigate the potential bias that is introduced by respondents’ self-selection. The analysis is based on survey data of the “GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany”, together with background information of the GESIS Panel. Our analyses show indication of a nonignorable amount of selection bias for measures of personality traits among online survey respondents. This provides some evidence that participating in an online survey and complying with measures that can minimize the risk of being infected with the SARS-CoV-2 virus are confounded. Hence, generalizing these results to the general population bears the risk of over-or underestimating the share of the population that complies with specific measures.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"103-108"},"PeriodicalIF":0.9000,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Survey Research Methods","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.18148/SRM/2020.V14I2.7751","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 46
Abstract
The coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where par-ticipants select themselves. The results are, nevertheless, often generalized to the general pop-ulation. In our paper we investigate the potential bias that is introduced by respondents’ self-selection. The analysis is based on survey data of the “GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany”, together with background information of the GESIS Panel. Our analyses show indication of a nonignorable amount of selection bias for measures of personality traits among online survey respondents. This provides some evidence that participating in an online survey and complying with measures that can minimize the risk of being infected with the SARS-CoV-2 virus are confounded. Hence, generalizing these results to the general population bears the risk of over-or underestimating the share of the population that complies with specific measures.