Schlosser, Stephan

[["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"]]

[["dc.bibliographiccitation.firstpage","43"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","International Journal of Market Research"],["dc.bibliographiccitation.lastpage","57"],["dc.bibliographiccitation.volume","62"],["dc.contributor.author","Höhne, Jan Karem"],["dc.contributor.author","Revilla, Melanie"],["dc.contributor.author","Schlosser, Stephan"],["dc.date.accessioned","2020-12-10T18:38:32Z"],["dc.date.available","2020-12-10T18:38:32Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1177/1470785319858587"],["dc.identifier.eissn","2515-2173"],["dc.identifier.issn","1470-7853"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77358"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.title","Motion instructions in surveys: Compliance, acceleration, and response quality"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","379"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","International journal of social research methodology"],["dc.bibliographiccitation.lastpage","391"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Höhne, Jan Karem"],["dc.contributor.author","Schlosser, Stephan"],["dc.date.accessioned","2020-12-10T18:15:05Z"],["dc.date.available","2020-12-10T18:15:05Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1080/13645579.2018.1550279"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/74735"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.title","SurveyMotion: what can we learn from sensor data about respondents’ completion and response behavior in mobile web surveys?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","369"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Social Science Computer Review"],["dc.bibliographiccitation.lastpage","378"],["dc.bibliographiccitation.volume","36"],["dc.contributor.author","Höhne, Jan Karem"],["dc.contributor.author","Schlosser, Stephan"],["dc.date.accessioned","2020-12-10T18:38:27Z"],["dc.date.available","2020-12-10T18:38:27Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1177/0894439317710450"],["dc.identifier.eissn","1552-8286"],["dc.identifier.issn","0894-4393"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77322"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.title","Investigating the Adequacy of Response Time Outlier Definitions in Computer-Based Web Surveys Using Paradata SurveyFocus"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","365"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Field Methods"],["dc.bibliographiccitation.lastpage","382"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Höhne, Jan Karem"],["dc.contributor.author","Schlosser, Stephan"],["dc.contributor.author","Krebs, Dagmar"],["dc.date.accessioned","2020-12-10T18:38:33Z"],["dc.date.available","2020-12-10T18:38:33Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1177/1525822X17710640"],["dc.identifier.eissn","1552-3969"],["dc.identifier.issn","1525-822X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77365"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.title","Investigating Cognitive Effort and Response Quality of Question Formats in Web Surveys Using Paradata"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","986"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Public Opinion Quarterly"],["dc.bibliographiccitation.lastpage","999"],["dc.bibliographiccitation.volume","84"],["dc.contributor.author","Höhne, Jan Karem"],["dc.contributor.author","Cornesse, Carina"],["dc.contributor.author","Schlosser, Stephan"],["dc.contributor.author","Couper, Mick P."],["dc.contributor.author","Blom, Annelies G."],["dc.date.accessioned","2022-04-01T10:36:52Z"],["dc.date.available","2022-04-01T10:36:52Z"],["dc.date.issued","2020"],["dc.description.abstract","Political knowledge can affect measures obtained in public opinion research and political science. When asked political knowledge questions, some respondents look up the answers online, inflating political knowledge scores. This response behavior is detectable in web surveys using paradata. This study investigates whether and to what extent respondents switch away from the survey to search for answers online using JavaScript OnBlur functions. Respondents were randomly assigned to device types (PC or smartphone) and response formats (open or closed) and answered a self-report question. The results reveal that about 30 percent of the respondents look up answers, depending on the device type and response format. They also reveal that switching away and correct answers are significantly associated with the response format. These findings provide new insights on looking up answers online and show that paradata are a promising new method to detect response behavior that may lead to incorrect inferences about respondents’ political knowledge. The findings also show that paradata and self-reports complement each other and that both measures should be combined in future web surveys measuring political knowledge."],["dc.identifier.doi","10.1093/poq/nfaa049"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/106174"],["dc.language.iso","en"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.title","Looking up Answers to Political Knowledge Questions in Web Surveys"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","106417"],["dc.bibliographiccitation.journal","Computers in Human Behavior"],["dc.bibliographiccitation.volume","111"],["dc.contributor.author","Höhne, Jan Karem"],["dc.contributor.author","Schlosser, Stephan"],["dc.contributor.author","Couper, Mick P."],["dc.contributor.author","Blom, Annelies G."],["dc.date.accessioned","2021-04-14T08:23:31Z"],["dc.date.available","2021-04-14T08:23:31Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.chb.2020.106417"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/80947"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.issn","0747-5632"],["dc.relation.orgunit","Sozialwissenschaftliche Fakultät"],["dc.relation.orgunit","Methodenzentrum Sozialwissenschaften"],["dc.relation.orgunit","Abteilung Quantitative Methoden und Statistik"],["dc.title","Switching away: Exploring on-device media multitasking in web surveys"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]