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Stephan Schlosser

Biographic Data

ID230084
NAMEStephan Schlosser
GIVEN NAMESStephan
FAMILY NAMESchlosser
SIGNATURESCHLOSSER S
AFFILIATIONSUniversity of Göttingen
ORCID0000-0001-9805-4485
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS27
AUTHOR COUNT8
EDITOR COUNT1
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2024
H-INDEX3
  • The sound of respondents

    Open Access•Jan Karem Höhne, Christoph Kern et al.•ARTICLE•Quality & Quantity•2024

    Web surveys completed on smartphones open novel ways for measuring respondents’ attitudes, behaviors, and beliefs that are crucial for social science research and many adjacent research fields. In this study, we make use of the built-in microphones of smartphones to record voice answers in a smartphone survey and extract non-verbal cues, such as amplitudes and pitches, from the collected voice data. This allows us to predict respondents’ level of…

  • Looking up Answers to Political Knowledge Questions in Web Surveys

    Open Access•Jan Karem Höhne, Carina Cornesse et al.•ARTICLE•Public Opinion Quarterly•2021•Cited by: 10•References: 20

    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. Res…

  • Grundlagen - Methoden - Anwendungen in den Sozialwissenschaften

    Open Access•Anja Mays, André Dingelstedt et al.•BOOK•Grundlagen - Methoden -…•2020

  • Switching away

    Open Access•Jan Karem Höhne, Stephan Schlosser et al.•ARTICLE•Computers in Human Behavior•2020

  • Completion Conditions and Response Behavior in Smartphone Surveys

    Open Access•Christoph Kern, Jan Karem Höhne et al.•ARTICLE•Social Science Computer Review•2020•References: 11

    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 c…

  • SurveyMotion

    Jan Karem Höhne, Stephan Schlosser•ARTICLE•International Journal of Social…•2019•References: 6

    Participation in web surveys via smartphones increased continuously in recent years. The reasons for this increase are a growing proportion of smartphone owners and an increase in mobile Internet access. However, research has shown that smartphone respondents are frequently distracted and/or multitasking, which might affect completion and response behavior in a negative way. We propose ‘SurveyMotion (SMotion)’, a JavaScript-based tool for mobile …

  • Investigating the Adequacy of Response Time Outlier Definitions in Computer-Based Web Surveys Using Paradata SurveyFocus

    Open Access•Jan Karem Höhne, Stephan Schlosser•ARTICLE•Social Science Computer Review•2017•Cited by: 10•References: 2

    Web surveys are commonly used in social research because they are usually cheaper, faster, and simpler to conduct than other modes. They also enable researchers to capture paradata such as response times. Particularly, the determination of proper values to define outliers in response time analyses has proven to be an intricate challenge. In fact, to a certain degree, researchers determine them arbitrarily. In this study, we use “SurveyFocus (SF)”…

  • Mobile and Dirty

    Open Access•Stephan Schlosser, Anja Mays•ARTICLE•Social Science Computer Review•2017•Cited by: 4•References: 6

    In this article, we present a study on the data quality and the response process of mobile online surveys using an experimental design as compared to a standard computer. We used the following indicators to measure data quality and response properties: reaction time to survey invitation, break-off rate, item nonresponse, length of responses to open-ended questions and survey transmission, processing, and completion time. With regard to completion…

  • Investigating Cognitive Effort and Response Quality of Question Formats in Web Surveys Using Paradata

    Open Access•Jan Karem Höhne, Stephan Schlosser et al.•ARTICLE•CAM•2017•Cited by: 3•References: 17

    Measuring attitudes and opinions employing agree/disagree (A/D) questions is a common method in social research because it appears to be possible to measure different constructs with identical response scales. However, theoretical considerations suggest that A/D questions require a considerable cognitive processing. Item-specific (IS) questions, in contrast, offer content-related response categories, implying less cognitive processing. To investi…

  • Looking up Answers to Political Knowledge Questions in Web Surveys

    Open Access•Jan Karem Höhne, Carina Cornesse et al.•ARTICLE•Public Opinion Quarterly•2021•Cited by: 10•References: 20

    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. Res…

  • Investigating the Adequacy of Response Time Outlier Definitions in Computer-Based Web Surveys Using Paradata SurveyFocus

    Open Access•Jan Karem Höhne, Stephan Schlosser•ARTICLE•Social Science Computer Review•2017•Cited by: 10•References: 2

    Web surveys are commonly used in social research because they are usually cheaper, faster, and simpler to conduct than other modes. They also enable researchers to capture paradata such as response times. Particularly, the determination of proper values to define outliers in response time analyses has proven to be an intricate challenge. In fact, to a certain degree, researchers determine them arbitrarily. In this study, we use “SurveyFocus (SF)”…

  • Mobile and Dirty

    Open Access•Stephan Schlosser, Anja Mays•ARTICLE•Social Science Computer Review•2017•Cited by: 4•References: 6

    In this article, we present a study on the data quality and the response process of mobile online surveys using an experimental design as compared to a standard computer. We used the following indicators to measure data quality and response properties: reaction time to survey invitation, break-off rate, item nonresponse, length of responses to open-ended questions and survey transmission, processing, and completion time. With regard to completion…

  • Investigating Cognitive Effort and Response Quality of Question Formats in Web Surveys Using Paradata

    Open Access•Jan Karem Höhne, Stephan Schlosser et al.•ARTICLE•CAM•2017•Cited by: 3•References: 17

    Measuring attitudes and opinions employing agree/disagree (A/D) questions is a common method in social research because it appears to be possible to measure different constructs with identical response scales. However, theoretical considerations suggest that A/D questions require a considerable cognitive processing. Item-specific (IS) questions, in contrast, offer content-related response categories, implying less cognitive processing. To investi…

  • Investigating the Adequacy of Response Time Outlier Definitions in Computer-Based Web Surveys Using Paradata SurveyFocus

    Open Access•Jan Karem Höhne, Stephan Schlosser•ARTICLE•Social Science Computer Review•2017•Cited by: 10•References: 2

    Web surveys are commonly used in social research because they are usually cheaper, faster, and simpler to conduct than other modes. They also enable researchers to capture paradata such as response times. Particularly, the determination of proper values to define outliers in response time analyses has proven to be an intricate challenge. In fact, to a certain degree, researchers determine them arbitrarily. In this study, we use “SurveyFocus (SF)”…

  • Mobile and Dirty

    Open Access•Stephan Schlosser, Anja Mays•ARTICLE•Social Science Computer Review•2017•Cited by: 4•References: 6

    In this article, we present a study on the data quality and the response process of mobile online surveys using an experimental design as compared to a standard computer. We used the following indicators to measure data quality and response properties: reaction time to survey invitation, break-off rate, item nonresponse, length of responses to open-ended questions and survey transmission, processing, and completion time. With regard to completion…

  • Investigating Cognitive Effort and Response Quality of Question Formats in Web Surveys Using Paradata

    Open Access•Jan Karem Höhne, Stephan Schlosser et al.•ARTICLE•CAM•2017•Cited by: 3•References: 17

    Measuring attitudes and opinions employing agree/disagree (A/D) questions is a common method in social research because it appears to be possible to measure different constructs with identical response scales. However, theoretical considerations suggest that A/D questions require a considerable cognitive processing. Item-specific (IS) questions, in contrast, offer content-related response categories, implying less cognitive processing. To investi…

  • SurveyMotion

    Jan Karem Höhne, Stephan Schlosser•ARTICLE•International Journal of Social…•2019•References: 6

    Participation in web surveys via smartphones increased continuously in recent years. The reasons for this increase are a growing proportion of smartphone owners and an increase in mobile Internet access. However, research has shown that smartphone respondents are frequently distracted and/or multitasking, which might affect completion and response behavior in a negative way. We propose ‘SurveyMotion (SMotion)’, a JavaScript-based tool for mobile …

  • Grundlagen - Methoden - Anwendungen in den Sozialwissenschaften

    Open Access•Anja Mays, André Dingelstedt et al.•BOOK•Grundlagen - Methoden -…•2020

  • Switching away

    Open Access•Jan Karem Höhne, Stephan Schlosser et al.•ARTICLE•Computers in Human Behavior•2020

  • Completion Conditions and Response Behavior in Smartphone Surveys

    Open Access•Christoph Kern, Jan Karem Höhne et al.•ARTICLE•Social Science Computer Review•2020•References: 11

    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 c…

  • Looking up Answers to Political Knowledge Questions in Web Surveys

    Open Access•Jan Karem Höhne, Carina Cornesse et al.•ARTICLE•Public Opinion Quarterly•2021•Cited by: 10•References: 20

    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. Res…

  • The sound of respondents

    Open Access•Jan Karem Höhne, Christoph Kern et al.•ARTICLE•Quality & Quantity•2024

    Web surveys completed on smartphones open novel ways for measuring respondents’ attitudes, behaviors, and beliefs that are crucial for social science research and many adjacent research fields. In this study, we make use of the built-in microphones of smartphones to record voice answers in a smartphone survey and extract non-verbal cues, such as amplitudes and pitches, from the collected voice data. This allows us to predict respondents’ level of…

Computer Science (8 works) · Psychology (7 works) · Survey Methodology and Nonresponse (7 works) · World Wide Web (5 works) · Artificial Intelligence (4 works) · Human Mobility and Location-Based Analysis (4 works) · Mathematics (4 works) · Mobile Crowdsensing and Crowdsourcing (4 works) · Statistics (4 works) · Quality (philosophy (3 works)

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