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Call for Abstracts - ESRA 2025 Session on Survey Experiments with Hard-to-Survey Populations
by Küchler, Armin 12 Dec '24

12 Dec '24

+++ Sorry for crossposting +++ Dear colleagues, We are pleased to invite you to contribute to our upcoming session "Survey experiments with hard-to-survey populations: Solutions or new challenges?" at the 11th Conference of the European Survey Research Association (ESRA) 2025 in Utrecht. To participate, please submit your abstract (maximum 300 words) via the ESRA conference portal: https://www.europeansurveyresearch.org/conference/utrecht-2025/call-for-abs… For detailed session information please visit: https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=138 Or read the session details below. We look forward to your contributions! Best regards, Armin Küchler ###### Session details Populations such as the homeless, elderly, irregular migrants, LGBTQIA+ individuals, victims of violence, and stigmatized peole (e.g., individuals living with HIV or disabilities) are frequently underrepresented in general population surveys because they are particularly hard to reach. To address this issue, methodologies like respondent-driven-sampling and social media targeting have been developed. However, reaching such populations is just the first hurdle; successfully conducting surveys with these groups presents additional complexities: Researchers are often interested in precisely those sensitive topics that make the groups difficult to reach, leading to low trust in the survey process and a higher social desirability bias or non-response to certain questions. Additionally, marginalized individuals may encounter difficulties with traditional survey frameworks due to factors such as low education, language barriers, or illiteracy, making it challenging for them to appropriately respond to questions or given formats. Health issues may further undermine survey quality. Survey experiments, including factorial surveys and conjoint analyses, are increasingly used to tackle these challenges. In surveys with conventional populations, these methods were able to reduce social desirability through indirect questioning and were comprehensible to the participants due to their holistic design. However, there is limited research on the effectiveness of these experiments when working with hard-to-survey populations. Do these methods enhance comprehension and response quality? Can they effectively minimize social desirability bias and non-response? How do they compare to traditional direct questioning techniques? How can survey experiments be adapted to reflect the specific contexts and experiences of specific hard-to-survey populations? This session will explore these questions, examining benefits and limitations of survey experiments within the context of hard-to-survey populations. In doing so, we aim to advance methodological approaches and improve the quality and inclusivity of survey research for often-overlooked research groups. ###### -- Armin Küchler Research Associate Bielefeld University - Faculty of Sociology Research Group Quantitative Methods (Prof. Dr. Kroh) Project: Resettlement – Living Situation in the Country of First Refuge and in Germany (RED) Office: X B3-210 Tel.: +49 521 106-12939

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Call for Abstracts: Pitfalls and challenges of combining survey and georeferenced data, ESRA 2025
by Oliver Arranz Becker 12 Dec '24

12 Dec '24

Dear colleagues, we would like to invite contributions to our session on<https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=156>*Pitfalls and challenges of combining survey and georeferenced data* <https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=156>**at the 11th *ESRA* *Conference *from 14th July to 18th July 2025 in Utrecht. This session aims to bring together researchers to discuss the methodological, ethical and practical complexities of integrating geo-referenced data into survey research. We invite contributions that explore innovative methodological approaches to integrating and harmonising geo-referenced and survey data, the challenges posed by differences in the composition of spatial aggregates, methods for dealing with incomplete data and other data quality issues in this area. If interested, please submit an abstract (max. 300 words) to our session via the ESRA conference management system <https://www.europeansurveyresearch.org/conf2025/>by 6th January 2025. ** Best regards, Philip Adebahr-Maskow (Martin Luther University Halle-Wittenberg, Germany) Oliver Arránz Becker (Martin Luther University Halle-Wittenberg, Germany) Torvid Kreisler (Martin Luther University Halle-Wittenberg, Germany) _________________________________________ Prof. Dr. O. Arránz Becker Professor of Quantitative Methods in the Social Sciences Martin-Luther University Halle-Wittenberg Institute of Sociology D-06099 Halle (Saale) Germany Visitor address: Geistes- und Sozialwissenschaftliches Zentrum (Steintor-Campus) Emil-Abderhalden-Straße 26-27 (Raum E.54.0) phone: +49 - (0)345 - 55 24260 fax: +49 - (0)345 - 55 27150 e-mail:oliver.arranz-becker@soziologie.uni-halle.de Webex:https://uni-halle.webex.com/meet/oliver.arranz-becker _______________________________________________ Speaker of Research Institute - Social Cohesion (RISC), Halle Sprecher des Forschungsinstituts Gesellschaftlicher Zusammenhalt (FGZ), Standort Halle https://soziologie.uni-halle.de/fgz/team/3313307_3503802/

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ESRA Conference 2025: Extended Deadline for Abstract Submissions
by Daniel Seddig 11 Dec '24

11 Dec '24

* Apologies for cross-posting * Dear Colleagues, We are pleased to inform you that the deadline for abstract submissions to the 11th Conference of the European Survey Research Association (ESRA) has been extended to January 6th, 2025. The conference will take place from July 14th to 18th, 2025, in Utrecht, The Netherlands. The conference theme is 'Promises and problems of new and alternative data sources and data formats for survey research. Methodological challenges and substantive conclusions<https://www.europeansurveyresearch.org/conference/utrecht-2025/call-session…>'. To be part of the conference program, please start by selecting a suitable session for your presentation. A complete overview of all organized sessions<https://www.europeansurveyresearch.org/conf2025/sessions.php> is available. You can submit your abstract (max. 300 words) to the session of your choice via the ESRA conference management system<https://www.europeansurveyresearch.org/conf2025/>. We are looking forward to receiving your abstract. Best regards, Daniel Seddig, Chair Angelo Moretti, Vice-Chair 2025 ESRA Conference Committee ---- PD Dr. Daniel Seddig Kriminologisches Forschungsinstitut Niedersachsen e.V. Criminological Research Institute of Lower Saxony Lützerodestraße 9, 30161 Hannover, Germany E-Mail: daniel.seddig(a)kfn.de<mailto:daniel.seddig@kfn.de> | Web: https://kfn.de/ Tel.: +49 (0) 511 34836-76 Informationen zum Datenschutz: https://www.kfn.de/datenschutzerklaerung/ Vorstand im Sinne des § 26 BGB (einzelvertretungsberechtigt) Direktor Prof. Dr. Thomas Bliesener und stellv. Direktor Prof. Dr. Tillmann Bartsch Eingetragen beim Amtsgericht Hannover, Vereinsregister VR 4622 Recently published: Legal Cynicism<https://doi.org/10.1080/07418825.2024.2393197> (2024) Self-Control Ability Scale<https://doi.org/10.1080/07418825.2024.2413584> (2024) Human Values and Transnational Solidarity<https://doi.org/10.1111/jcms.13517> (2024) Latent Growth Models for Count Outcomes<https://doi.org/10.1080/10705511.2023.2175684> (2024)

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Call for Abstracts - ESRA 2025 Session on Surveying Diversity
by De Vries, Lisa 09 Dec '24

09 Dec '24

Dear colleagues, Zaza Zindel and I will host a session on "Surveying Diversity: Methodological Issues and Best Practices" at the 11th conference of the European Survey Research Association (ESRA) 2025 in Utrecht. We invite contributions to the following topics: * Measurement instruments that reflect the complexity of a diverse society * Sampling strategies that capture the full range of societal diversity, including hard-to-reach or underrepresented groups * Balancing the need for detailed demographic information with concerns about respondent burden, privacy, and research ethics * Integrating diversity across all survey stages, from question development to data analysis Submissions can be made via the ESRA conference portal by 20th December 2024: https://www.europeansurveyresearch.org/conference/utrecht-2025/call-for-abs… Please visit the following link for detailed session information: https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=70 We are looking forward to your contributions! Best regards, Lisa de Vries Dr. Lisa de Vries (she/her) Wissenschaftliche Mitarbeiterin Research Associate Abteilung "System und Politik" Department "System and Policies" [cid:image001.png@01DB4A40.475F1E60]<https://www.die-bonn.de/> Deutsches Institut für Erwachsenenbildung Leibniz-Zentrum für Lebenslanges Lernen e.V. German Institute for Adult Education Leibniz Centre for Lifelong Learning Heinemannstr. 12 - 14 53175 Bonn Germany T +49 228 3294-266 lisa.devries(a)die-bonn.de<mailto:lisa.devries@die-bonn.de> www.die-bonn.de<http://www.die-bonn.de/>

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Reminder: CS3 Meeting for Computational Survey and Social Science
by Claaßen, Joshua 09 Dec '24

09 Dec '24

***Apologies for cross-posting Dear colleagues, This is a gentle reminder for the next CS3 meeting with Laura Boeschoten (Utrecht University) talking about "Digital trace data collection through data donation<https://jkhoehne.eu/wp-content/uploads/2024/07/CS3_meeting_LB.pdf>" on December 12, 2024, from 3:15 to 4:00 PM (CET). Please sign up for the meeting by December 11, 2024: https://ww3.unipark.de/uc/cs3_meeting_registration/ See you at the CS3 Meeting! Best regards Joshua German Centre for Higher Education Research and Science Studies (DZHW) Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://www.dzhw.eu/> | Germany Joshua Claaßen (M.A.) Research Associate and PhD Candidate Member of CS3 Lab for Computational Survey and Social Science Research Area Research Infrastructure and Methods Tel. +49 511 450670-407 | E-Mail: claassen(a)dzhw.eu<mailto:claassen@dzhw.eu> | Twitter: @JClaass Most recent publications: - Höhne, J.K., Lenzner, T., & Claassen, J. (in press). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology. - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (2024). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - 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., 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. DOI: 10.1177/08944393231160961 Visit us also on X (formerly Twitter) [Ein Bild, das Schwarz, Dunkelheit enthält. Automatisch generierte Beschreibung] <https://twitter.com/dzhw_info> & Linkedin [cid:image002.jpg@01DB4A1A.8620C020] <https://www.linkedin.com/company/dzhw-gmbh> Registr<https://www.linkedin.com/company/dzhw-gmbh>ation court: Amtsgericht Hannover | HRB 210251 Chairman of the supervisory board: Ministerialdirigent Peter Greisler Scientific Director: Prof. Dr. Monika Jungbauer-Gans Administrative Director: Axel Tscherniak VAT No. DE291239300 | TAX ID No. 25/206/21502

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Ausschreibung Wissenschaftliche/r Mitarbeiter/in (m/w/d) Empirische Soziologie Universität Eichstätt-Ingolstadt
by Eifler, Stefanie 09 Dec '24

09 Dec '24

Liebe Kollegen und Kolleginnen, ich möchte auf die Ausschreibung einer Stelle als Wissenschaftliche/r Mitarbeiter/in (m/w/d) mit Gelegenheit zur Promotion an meinem Lehrstuhl für Soziologie und empirische Sozialforschung aufmerksam machen und bitte um Weiterleitung an potenziell Interessierte. Für Nachfragen stehe ich gerne zur Verfügung. Viele Grüße aus Eichstätt, Stefanie Eifler

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DATA RELEASE: GERMAN SOCIAL COHESION PANEL - WAVE 1 (SCP 2021/22 W1)
by Jean-Yves Gerlitz 04 Dec '24

04 Dec '24

Dear Colleagues, We are happy to announce the *release* of another *Scientific Use File* of the *German Social Cohesion Panel (SCP)*: the *German Social Cohesion Panel 2021/22 - Wave 1* (SCP 2021/22 W1). For more details and information how the data can be obtained, please see below or visit https://fgz-risc-data.de/datenportal/datenangebot/german_social_cohesion_pa…. * **The German Social Cohesion Panel: * The SCP is a newly established longitudinal study that captures multiple aspects of social cohesion in Germany. It is based on a representative population sample drawn from the German population registers and was carried out for the first time in 2021. The annual survey is directed not only at the selected individuals but also at all other adult household members. The SCP is funded by the Federal Ministry of Education and Research (BMBF), led in cooperation by the Research Institute Social Cohesion (RISC) and the German Socio-Economic Panel (SOEP), and implemented by the survey institute infas. *The SCP 2021/22 W1:* The dataset "German Social Cohesion Panel 2021/22 – Wave 1" includes survey data and generated indicators of the first and second part of the first panel wave. It contains responses from 13,053 household anchor persons drawn from population registers and from 3,974 adult household members who were named by the anchor persons and subsequently interviewed. *Data Access:* The SCP can be ordered by all *p**ost-doctoral researchers affiliated with a scientific institution*. For that purpose, please set up a *data user account* at https://fgz-risc-data.de/en/registration if not yet done. You can use this account in the future to order all Scientific Use Files available at the Research Data Centre of the Research Institute Social Cohesion (RDC-RISC). Account holders (primary users) may share the data with researchers under their supervision (secondary users). Secondary users must be listed in the primary user's data user account and must sign a privacy policy, which must be archived by the primary user. We would like to point out that we provide data for scientific use only. If you have any questions, please contact us at fgzdz(a)uni-bremen.de. Best regards, The team of the RDC-RISC -- Dr. Jean-Yves Gerlitz Coordinator German Social Cohesion Panel Research Fellow logo-fgz Forschungsinstitut Gesellschaftlicher Zusammenhalt Geschäftsstelle Bremen Research Data Centre (RDC-RISC) Research Center on Inequality and Social Policy (SOCIUM) University of Bremen P.O. Box 330 440 28334 Bremen, Germany Telefon: +49(0) 421 / 218 - 570 88 | Fax: +49(0) 421 / 218 98 - 570 88 E-Mail: gerlitz(a)uni-bremen.de www.fgz-risc.de <https://www.fgz-risc.de/> www.fgz-risc-data.de <https://www.fgz-risc-data.de/>

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CS3 Meeting for Computational Survey and Social Science
by Höhne, Jan Karem 04 Dec '24

04 Dec '24

***Apologies for cross-posting Dear colleagues, I would like to invite you to join the upcoming CS3 Meeting for Computational Survey and Social Science broadcasted by the German Centre for Higher Education Research and Science Studies (DZHW). The CS3 Meeting concerns research topics on innovative data collection and analysis strategies in the behavioral and social sciences. It takes place online during the summer (April-July) and winter terms (October-January) including a talk of about 30 minutes and a Q&A of about 15 minutes. Laura Boeschoten (Utrecht University) talks about "Digital trace data collection through data donation<https://jkhoehne.eu/wp-content/uploads/2024/07/CS3_meeting_LB.pdf>" on December 12, 2024, from 3:15 to 4:00 PM (CET). Please sign up for the meeting here: https://ww3.unipark.de/uc/cs3_meeting_registration/ See you at the CS3 Meeting! Best regards Jan German Centre for Higher Education Research and Science Studies (DZHW) Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://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.eu<http://www.jkhoehne.eu/> Upcoming and most recent publications: - Höhne, J.K., Lenzner, T., & Claassen, J. (in press). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology. - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (2024). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - 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., 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. DOI: 10.1177/08944393231160961 - Lenzner, T., Höhne, J.K., & Gavras, K. (2024). Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smae031

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GESIS Training: Modeling Group Differences
by Remizova, Alisa 03 Dec '24

03 Dec '24

**Apologies for cross-posting** Dear colleagues, When are group differences genuine, and when are they shaped by methodological artifacts or compositional imbalances? GESIS invites you to explore these and other questions in our upcoming workshops on modeling group differences. Topics range from ensuring measurement comparability across groups to accounting for nested data structures: * 27. - 30.01. Decomposition Methods in the Social Sciences<https://tinyurl.com/01-25-decomposition-methods> (Mannheim) * 18. - 19.02. Propensity Score Matching: Computation and Balance Estimation for two and more groups in R<https://tinyurl.com/02-25-PSM-comp-balance-R> (Online) * 3. 12. - 14.03. Einführung in Strukturgleichungsmodellierung<https://tinyurl.com/03-25-struktgleichungsmodel> (Online) * 14. - 16.04. Latent Class Analysis<https://tinyurl.com/04-25-latent-class-analysis> (Cologne) * 26. - 27.05. Einführung in die Mehrebenen-Strukturgleichungsmodellierung<https://tinyurl.com/05-25-intro-Mehreb-SGM> (Online) For more details or to register, please visit our website<https://training.gesis.org/> or email alisa.remizova(a)gesis.org<mailto:alisa.remizova@gesis.org>. We would also appreciate your help in spreading the word about this announcement. May your group comparisons be meaningful, GESIS Training Team --- Alisa Remizova alisa.remizova(a)gesis.org<mailto:alisa.remizova@gesis.org> Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences https://training.gesis.org/

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MAXQDA aktuelle Webinare
by research.network＠maxqda.de 29 Nov '24

29 Nov '24

Liebe Liste,   Herzlich laden wir Sie zu unseren aktuellen Live-Webinaren ein. Diesen Dezember erwartet Sie eine spannende Themenauswahl. Unsere Live-Webinare bieten eine hervorragende Möglichkeit mit unseren professionellen Trainer:innen in den Dialog zu treten. Termine: 03.12. Einführung in MAXQDA<https://zoom.us/webinar/register/WN_CHIxr8GvRaKtrL_qNIlyqg?_x_zm_rtaid=s9m3…> (Starter) 05.12. Qualitative Inhaltsanalyse mit MAXQDA 24<https://zoom.us/webinar/register/WN_mHPD1dWiSfqnWZRt_dH8wg?_x_zm_rtaid=otBo…> (Advanced) 10.12. Arbeiten mit MAXQDAs AI-Assist<https://zoom.us/webinar/register/WN_QUKKwEsjQ1271ultsBcbTQ?_x_zm_rtaid=XZTl…> (Advanced) 12.12. Research Session: MAXQDA's AI in Action: Big Data Analysis with YouTube Data<https://zoom.us/webinar/register/WN_idm8qmOGTnGRDT7MLBZH9w#/registration> 13.12. Online Starter Workshop Dezember<https://www.maxqda.com/de/workshop/maxqda-24-online-starter-workshop-dezemb…> (Starter) 16.12. Survey-Antworten aus Umfragen kategorisieren mit MAXQDA und AI Assist<https://zoom.us/webinar/register/WN_kBjjb5vETGGlpf98af-bcQ?_x_zm_rtaid=5rt5…> (Advanced) 16.12. Einführung in MAXQDA<https://zoom.us/webinar/register/WN_Vu5CWlPxSK-SKvFsXo-H5Q?_x_zm_rtaid=RI7w…> (Starter) Wir freuen uns auf Sie!  Beste Grüße aus Berlin, Camilla Heldt & Leopold Meinert -- Camilla Heldt – Jr. Customer and Community Manager VERBI Software - Consult - Sozialforschung GmbH Invalidenstraße 74 10557 Berlin, Germany Tel: +49 (0)30 - 206 22 59 22 Fax: +49 (0)30 - 206 22 59 29 www.maxqda.com<http://www.maxqda.com/> Register: HRB 78781, AG Berlin Charlottenburg, Germany USt-Id: DE 813142743 - Geschäftsführerin / CEO: Anne Kuckartz, M.A., Isabel Kuckartz, M.A.

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