***Apologies for cross-posting

Dear colleagues,

I am happy to announce that we just released the presentation recordings of the 5th “Mobile Apps and Sensors in Surveys” (MASS) Workshop in Washington, DC through YouTube: https://www.youtube.com/@MASSWorkshop

This also includes the 2023 MASS keynotes by Helen Nissenbaum (Cornell Tech) and Kathleen Cagney (University of Michigan). Check out the high-quality presentations on cutting-edge social research.

On behalf of the MASS organization committee Jan Karem Höhne (DZHW, Leibniz University Hannover) Florian Keusch (University of Mannheim) Peter Lugtig (Utrecht University) Bella Struminskaya (Utrecht University)

German Centre for Higher Education Research and Science Studies (DZHW) Lange Laube 12 | 30159 Hannover | www.dzhw.euhttps://www.dzhw.eu/ | Germany

Prof. Dr. Jan Karem Höhne Head of CS3 Lab for Computational Survey and Social Science Leibniz University Hannover German Centre for Higher Education Research and Science Studies (DZHW) Research Area 4: Research Infrastructure and Methods Tel. +49 511 450670-458 Fax +49 511 450670-960 www.jkhoehne.euhttp://www.jkhoehne.eu/

Upcoming and most recent publications: - Höhne, J.K., Gavras, K., & Claassen, J. (in press). Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review. DOI: 10.1177/08944393231160961 - Salvatore, C., & Höhne, J.K. (in press). Explaining item-nonresponse in open questions with requests for voice responses. Conference Proceeding of the Italian Statistical Society. - Höhne, J.K. & Claassen, J. (2024). Examining final comment questions with requests for written and oral answers. International Journal of Market Research. DOI: 10.1177/14707853241229329 - 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 and Quantity. DOI: 10.1007/s11135-023-01776-8 - Höhne, J.K., Krebs, D., & Kühnel, S.M. (2023). Investigating direction effects in rating scales with five and seven points in a probability-based online panel. Survey Research Methods, 17, 193-204. DOI: 10.18148/srm/2023.v17i2.8006

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