Schlosser, Stephan

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[["dc.bibliographiccitation.firstpage","1253"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Social Science Computer Review"],["dc.bibliographiccitation.lastpage","1271"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Kern, Christoph"],["dc.contributor.author","Höhne, Jan Karem"],["dc.contributor.author","Schlosser, Stephan"],["dc.contributor.author","Revilla, Melanie"],["dc.date.accessioned","2021-04-14T08:32:37Z"],["dc.date.available","2021-04-14T08:32:37Z"],["dc.date.issued","2020"],["dc.description.abstract","This study utilizes acceleration data from smartphone sensors to predict motion conditions of smartphone respondents. Specifically, we predict whether respondents are moving or nonmoving on a survey page level to learn about distractions and the situational conditions under which respondents complete smartphone surveys. The predicted motion conditions allow us to (1) estimate the proportion of smartphone respondents who are moving during survey completion and (2) compare the response behavior of moving and nonmoving respondents. Our analytical strategy consists of two steps. First, we use data from a lab experiment that systematically varied motion conditions of smartphone respondents and train a prediction model that is able to accurately infer respondents’ motion conditions based on acceleration data. Second, we use the trained model to predict motion conditions of respondents in two cross-sectional surveys in order to compare response behavior of respondents with different motion conditions in a field setting. Our results indicate that active movement during survey completion is a relatively rare phenomenon, as only about 3%–4% of respondents were predicted as moving in both cross-sectional surveys. When comparing respondents based on their predicted motion conditions, we observe longer completion times of moving respondents. However, we observe little differences when comparing moving and nonmoving respondents with respect to indicators of superficial responding, indicating that moving during survey completion does not pose a severe threat to data quality."],["dc.description.sponsorship","German Science Foundation"],["dc.identifier.doi","10.1177/0894439320971233"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83969"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.publisher","SAGE Publications"],["dc.relation.eissn","1552-8286"],["dc.relation.issn","0894-4393"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Completion Conditions and Response Behavior in Smartphone Surveys: A Prediction Approach Using Acceleration Data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

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[["dc.contributor.author","Schlosser, Stephan"],["dc.contributor.author","Höhne, J. K."],["dc.date.accessioned","2022-04-01T10:36:48Z"],["dc.date.available","2022-04-01T10:36:48Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.5281/zenodo.1218941"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/106173"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.title","Embedded Client Side Paradata (ECSP)"],["dc.type","report"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

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[["dc.bibliographiccitation.journal","Survey Methods"],["dc.contributor.author","Silber, H."],["dc.contributor.author","Höhne, J. K."],["dc.contributor.author","Schlosser, Stephan"],["dc.date.accessioned","2022-04-01T10:37:17Z"],["dc.date.available","2022-04-01T10:37:17Z"],["dc.date.issued","2016"],["dc.description.abstract","In this paper, we investigate the context stability of questions on political issues in cross-national surveys. For this purpose, we conducted three replication studies (N1 = 213; N2 = 677; N3 = 1,489) based on eight split-ballot design experiments with undergraduate and graduate students to test for question order effects. The questions, which were taken from the Eurobarometer (2013), included questions on perceived performance and identification. Respondents were randomly assigned to one of two experimental groups which received the questions either in the original or the reversed order. In all three studies, respondents answered the questions about Germany and the European Union/Europe differently depending on whether the question was asked first or second in the question sequence. Specifically, when answering a subsequent question in a question sequence, the preceding question seems to have functioned as a standard of comparison. Our empirical findings also suggest that the likelihood of the occurrence of such context effects can be reduced by implementing informed questionnaire design strategies."],["dc.identifier.doi","10.13094/SMIF-2016-00006"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/106181"],["dc.relatedmaterial.fulltext","http://surveyinsights.org/?p=7645"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.rights","CC BY 4.0"],["dc.title","Question Order Experiments in the German-European Context"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

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