Jan Karem Höhne

Prof. Dr. Jan Karem Höhne

Research Area Research Infrastructure and Methods
Junior Professor
Head of CS3 Lab
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Jan Karem Höhne is junior professor at the Leibniz University Hannover in association with the German Centre for Higher Education Research and Science Studies (DZHW) and head of the CS3 Lab for Computational Survey and Social Science. He is also research fellow at the Research and Expertise Centre for Survey Methodology (RECSM) at the University Pompeu Fabra in Barcelona. His research focuses on computational survey and social science.
https://jkhoehne.eu/

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Projects

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CS3 Lab for Computational Survey and Social Science
Research cluster: Empirical Methods of Higher Education Research and Science Studies
Publications

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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

Differences in measurement quality depending on recall: Results for a question about trust in the parliament.

Revilla, M., Höhne, J. K., & Rettig, T. (2022).
Differences in measurement quality depending on recall: Results for a question about trust in the parliament. Quality and Quantity.

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.

A new experiment on the use of images to answer web survey questions.

Bosch, O. J., Revilla, M., Qureshi, D. D., & Höhne, J. K. (2022).
A new experiment on the use of images to answer web survey questions. Journal of the Royal Statistical Society (Series A), 185, 955-980.
Presentations

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Bot behavior in web surveys: A showcase.

Shahania, S., Claaßen, J., Höhne, J. K., & Broneske, D. (2024, Juni).
Bot behavior in web surveys: A showcase. Vortrag auf der Konferenz Data collection, data quality and data ethics in the age of artificial intelligence, Wiesbaden.

How does smartphone use in web-based panel surveys differ across Europe? Evidence from 12 European countries.

Claaßen, J., Gummer, T., Rettig, T., & Höhne, J. K. (2024, Mai).
How does smartphone use in web-based panel surveys differ across Europe? Evidence from 12 European countries. Vortrag im Rahmen der 79th Conference of the American Association for Public Opinion Research (AAPOR), Atlanta, USA.

Exploring effects of life-like virtual interviewers on respondents’ answers in a smartphone survey.

Höhne, J. K., Conrad, F., Neuert, C., & Claaßen, J. (2024, Mai).
Exploring effects of life-like virtual interviewers on respondents’ answers in a smartphone survey. Vortrag im Rahmen der 79th Conference of the American Association for Public Opinion Research (AAPOR), Atlanta, USA.

Respondent-centered incentives: Increasing answer provision when it comes to voice answers to open questions.

Höhne, J. K., Revilla, M., & Couper, M. P. (2024, Mai).
Respondent-centered incentives: Increasing answer provision when it comes to voice answers to open questions. Vortrag im Rahmen der 79th Conference of the American Association for Public Opinion Research (AAPOR), Atlanta, USA.

Merits and limits of open voice answers from a smartphone survey.

Höhne, J. (2024, April).
Merits and limits of open voice answers from a smartphone survey. Vortrag im Rahmen des Mannheim Research Colloquium on Survey Methods (MaRCS), Mannheim.

Exploring effects of life like virtual interviewers on respondents’ answers in a smartphone survey.

Höhne, J. K., Conrad, F., Neuert, C., & Claaßen, J. (2024, April).
Exploring effects of life like virtual interviewers on respondents’ answers in a smartphone survey. Vortrag im Rahmen des SOEP Brown Bag, DIW, Berlin.

Inferring respondents’ emotional states from text and voice answers to open questions in a smartphone survey.

Claaßen, J., Höhne, J. K., Kern, C., & Avetisyan, H. (2024, März).
Inferring respondents’ emotional states from text and voice answers to open questions in a smartphone survey. Vortrag im Rahmen des WEB DATA OPP Workshops, Barcelona, Spain.

Respondent-centered incentives: Increasing answer provision when it comes to voice answers to open questions.

Höhne, J. K., Revilla, M., & Couper, M. P. (2024, März).
Respondent-centered incentives: Increasing answer provision when it comes to voice answers to open questions. Vortrag im Rahmen des WEB DATA OPP Workshops, Barcelona, Spain.

Mitigating the risk of bots in web surveys recruited via social media.

Shahania, S., Claaßen, J., Höhne, J. K., & Broneske, D. (2024, März).
Mitigating the risk of bots in web surveys recruited via social media. Vortrag im Department of Methodology and Statistics, Utrecht University (The Netherlands), Utrecht.

Inferring respondents’ emotional states from transcribed voice answers to open questions in a smartphone survey.

Claaßen, J., Höhne, J. K., Kern, C., & Avetisyan, H. (2024, März).
Inferring respondents’ emotional states from transcribed voice answers to open questions in a smartphone survey. Vortrag im Rahmen des Mobile Apps and Sensors in Surveys (MASS) Workshop, Washington, D.C., USA.

API vs. human coder: Comparing the performance of speech-to-text transcription using voice answers from a smartphone survey.

Höhne, J. K., & Lenzner, T. (2024, Februar).
API vs. human coder: Comparing the performance of speech-to-text transcription using voice answers from a smartphone survey. Vortrag im Rahmen der General Online Research (GOR) Conference, Köln.

Exploring effects of life-like virtual interviewers on respondents’ answers in a smartphone survey.

Höhne, J. K., Conrad, F., Neuert, C., & Claaßen, J. (2024, Februar).
Exploring effects of life-like virtual interviewers on respondents’ answers in a smartphone survey. Vortrag im Rahmen der General Online Research (GOR) Conference, Köln.

How to incorporate AI interviewers in contemporary web surveys?

Höhne, J. K., Broneske, D., Neuert, C., & Claaßen, J. (2024, Januar).
How to incorporate AI interviewers in contemporary web surveys? Vortrag im Rahmen des Events 'Going online: using video interviewing in survey research', The Royal Statistical Society, London, UK.

API vs. human coder: Comparing the performance of speech-to-text transcription using voice answers from a smartphone survey.

Höhne, J. K., & Lenzner, T. (2023, Dezember).
API vs. human coder: Comparing the performance of speech-to-text transcription using voice answers from a smartphone survey. Vortrag im Rahmen des Institutskolloquiums, Institut für Soziologie, Leibniz Universität Hannover, Hannover, Deutschland.

Typing or speaking: Comparing text and voice answers to open questions on sensitive topics in smartphone surveys.

Höhne, J. K., & Gavras, K. (2023, November).
Typing or speaking: Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Vortrag im Rahmen der Business School, Universidad San Francisco de Quito, Quito, Ecuador.