https://jkhoehne.eu/
Prof. Dr. Jan Karem Höhne
Abteilung Infrastruktur und Methoden
Juniorprofessor
Leitung CS3 Lab
- 0511 450670-458
- 0511 450670-960
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Jan Karem Höhne ist Juniorprofessor an der Leibniz Universität Hannover im Verbund mit dem Deutschen Zentrum für Hochschul- und Wissenschaftsforschung (DZHW) und Leitung des CS3 Labs für Computational Survey and Social Science. Er ist außerdem wissenschaftlicher Mitarbeiter am Research and Expertise Centre for Survey Methodology (RECSM) an der Universität Pompeu Fabra in Barcelona. Seine Forschung ist im Bereich Computational Survey and Social Science verortet.
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https://jkhoehne.eu/
https://jkhoehne.eu/
Projekte
Liste der Projekte
Publikationen
Liste der Publikationen
Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys.Höhne, J. K., Gavras, K., & Claaßen, J. (2024).Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review (online first). https://doi.org/10.1177/08944393231160961 |
Examining final comment questions with requests for written and oral answers.Höhne, J. K., & Claaßen, J. (2024).Examining final comment questions with requests for written and oral answers. International Journal of Market Research (online first). https://doi.org/10.1177/14707853241229329 |
The sound of respondents: predicting respondents’ level of interest in questions with voice data in smartphone surveys.Höhne, J. K., Kern, C., Gavras, K., & Schlosser, S. (2023).The sound of respondents: predicting respondents’ level of interest in questions with voice data in smartphone surveys. Quality & Quantity, International Journal of Methodology, 57(6). https://doi.org/10.1007/s11135-023-01776-8 Abstract
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 interest (i.e., disinterest, neutral, and high interest) based on their voice answers, which expands the opportunities for researching respondents’ engagement and answer behavior. [...] Full abstract: https://doi.org/10.1007/s11135-023-01776-8 |
Investigating respondents’ willingness to participate in video-based web surveys.Höhne, J. K., Ziller, C., & Lenzner, T. (2023).Investigating respondents’ willingness to participate in video-based web surveys. International Journal of Market Research. https://doi.org/10.1177/14707853231198788 (Abgerufen am: 06.09.2023) (online first). https://doi.org/10.1177/14707853231198788 |
Investigating direction effects in rating scales with five and seven points in a probability-based online panel.Höhne, J. K., Krebs, D., & Kühnel, S. (2023).Investigating direction effects in rating scales with five and seven points in a probability-based online panel. Survey Research Methods, 17(2), 193-204. https://doi.org/10.18148/srm/2023.v17i2.8006 |
How to detect and influence looking up answers to political knowledge questions in web surveys.Gummer, T., Kunz, T., Rettig, T., & Höhne, J. K. (2023).How to detect and influence looking up answers to political knowledge questions in web surveys. Public Opinion Quarterly. https://doi.org/10.1093/poq/nfad027 |
Question order effects: How robust are survey measures on political solidarities with reference to Germany and Europe?Höhne, J. K., & Goerres, A. (2023).Question order effects: How robust are survey measures on political solidarities with reference to Germany and Europe? International Journal of Social Research Methodology. https://doi.org/10.1080/13645579.2023.2227011 |
Are respondents ready for audio and voice communication channels in online surveys?Höhne, J. (2023).Are respondents ready for audio and voice communication channels in online surveys? International Journal of Social Research Methodology. https://doi.org/10.1080/13645579.2021.1987121 |
Memory effects: A comparison across question types.Rettig, T., Blom, A. G., & Höhne, J. K. (2023).Memory effects: A comparison across question types. Survey Research Methods. https://doi.org/10.18148/srm/2023.v17i1.7903 |
Evaluating the response effort and data quality of established political solidarity measures: A pre-registered experimental test in an online survey of the German adult resident population in 2021.Goerres, A., & Höhne, J. K. (2023).Evaluating the response effort and data quality of established political solidarity measures: A pre-registered experimental test in an online survey of the German adult resident population in 2021. Quality & Quantity. https://doi.org/10.1007/s11135-022-01594-4 |
Is there a growing use of mobile devices in web surveys? Evidence from 128 web surveys in Germany.Gummer, T., Höhne, J. K., Rettig, T., Roßmann, J., & Kummerow, M. (2023).Is there a growing use of mobile devices in web surveys? Evidence from 128 web surveys in Germany. Quality & Quantity. https://doi.org/10.1007/s11135-022-01601-8 |
New insights on respondents’ recall ability and memory effects when repeatedly measuring political efficacy.Höhne, J. (2022).New insights on respondents’ recall ability and memory effects when repeatedly measuring political efficacy. Quality & Quantity, 56, 2549-2566. https://doi.org/10.1007/s11135-021-01219-2 |
Measuring subjective social stratification: How does the graphical layout of rating scales affect response distributions, response effort, and criterion validity in web surveys?Lenzner, T., & Höhne, J. K. (2022).Measuring subjective social stratification: How does the graphical layout of rating scales affect response distributions, response effort, and criterion validity in web surveys? International Journal of Social Research Methodology, 25, 269-275. |
Vorträge & Tagungen