Methoden

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WG: Call for Abstracts | 16th Scientific Conference | ADM, ASI, Destatis
by Natalja Menold 07 Nov '25

07 Nov '25

Liebe Kolleginnen und Kollegen, im Auftrag von Sabine Zinn übersende ich Ihnen diesen Call. Mit freundlichen Grüßen Natalja Menold Prof. Dr. Natalja Menold Institut für Soziologie Technische Universität Dresden 01062 Dresden Besuchsadresse: August-Bebel-Straße 30 01219 Dresden Raum 05-002 Tel.: 0351 463-37377, -37378 (Sekretariat) Mobil: 01522 2824056 _____ From: Zinn, Sabine <SZinn(a)diw.de <mailto:SZinn@diw.de> > Sent: Thursday, November 6, 2025 16:57 To: SOEP-JF <soep-jf(a)diw.de <mailto:soep-jf@diw.de> > Subject: Call for Abstracts | 16th Scientific Conference | ADM, ASI, Destatis Dear All, I would like to draw your attention to our Call for Abstracts for the 16th Scientific Conference on Survey Methods of ADM, ASI, and the Federal Statistical Office, and invite you to submit an abstract and/or save the dates of 2526 June 2026 in your calendar. The conference focuses on the theme of online surveys. You can find the call attached and further information on the event page: https://deu01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.destati s.de%2Fwiss-tagung2026 <http://www.destatis.de/wiss-tagung2026> &data=05%7C02%7CSZinn%40diw.de%7C98db1436267b479e797c08de1d07a671%7C89e77033 88764ceb8259983014a016a2%7C0%7C0%7C638980115867031454%7CUnknown%7CTWFpbGZsb3 d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbC IsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=QnjXdkypJb%2FYQxudcLB17nK1u68CGdCUn7hb kkB9Yfo%3D&reserved=0 The submission deadline is 31 January 2026. Registration for the event is not yet possible; we therefore ask you to refrain from registering by email at this time. We will inform you on our website and by email as soon as registration is possible. The conference will take place exclusively in person. Please feel free to forward the call to interested colleagues. For further information and any questions, please contact us by email at Institut-Veranstaltungen(a)destatis.de <mailto:Institut-Veranstaltungen@destatis.de> . With best regards Sabine (on behalf of the organization committee) ______________________________________________________ Prof. Dr. habil. Sabine Zinn Director (des.) of Socio-Economic Panel (SOEP) Deutsches Institut für Wirtschaftsforschung e.V. (DIW Berlin) Anton-Wilhelm-Amo-Straße 58 10117 Berlin Tel.: +49 30 89789 -340 Mobil: +49 173 6080231 Fax: +49 30 89789 -109 E-Mail: <mailto:mgrabka@diw.de> szinn(a)diw.de <http://www.diw.de/> www.diw.de ________________________________________________________ Vorstand: Prof. Marcel Fratzscher, Ph.D. (Präsident) Dr. Denise Rüttinger (Geschäftsführerin) Prof. Alexander Kritikos (Vorstandsmitglied) Vorsitzende des Kuratoriums: Dr. Sigrid Nikutta Sitz des Vereins: Berlin Vereinsregister: Berlin-Charlottenburg Vereinsregisternummer: 95 VR 136 NZ ________________________________________________________

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Call for papers: 7th MASS workshop in Barcelona – 4 & 5 June 2026
by Höhne, Jan Karem 06 Nov '25

06 Nov '25

Call for papers: 7th MASS workshop in Barcelona – 4 & 5 June 2026 7th MASS Workshop, jointly organised with WEB DATA OPP Mobile Apps and Sensors in Surveys https://massworkshop.org WEB DATA OPP https://www.upf.edu/web/webdataopp Date 4-5 June, 2026 Location: University Pompeu Fabra, Barcelona (Spain) Organizing committee Jan Karem Höhne (DZHW, Leibniz University Hannover), Peter Lugtig (Utrecht University), Florian Keusch (University of Mannheim), Bella Struminskaya (Utrecht University), Melanie Revilla (RECSM-University Pompeu Fabra) Context of the workshop Mobile devices allow researchers to collect data through built-in sensors, such as GPS, accelerometers, and other sensors, passively collect data in-browser, and use apps in addition to self-reports. Passive mobile data collection can potentially decrease measurement errors and reduce respondent burden. Active data collection using apps, camera, microphone, and other sensors allows researchers to broaden the research questions they want to study. Incorporating new measurements to augment or replace survey questions through sensors and apps brings challenges for representativeness, survey design and implementation, and measurement. This also includes ethical and legal considerations that are yet to be understood. The goal of this workshop is to bring together around 40 researchers from different disciplines to discuss the current state of their work on the use of mobile apps and sensors in survey data collection. The workshop is only open to participants whose abstracts will be accepted for a paper presentation. Upon acceptance participants are expected to submit a handout (max. of 5 pages). The workshop is free of charge for participants, but participants are expected to cover their own travel and lodging costs. We have some travel support funds available this year (see submission below). The program as well as some presentations from six earlier MASS workshops can be found at materials from earlier workshops Scope of the workshop The seventh MASS workshop is organised in collaboration with the WEB DATA OPP project, led by Melanie Revilla, and funded by the ERC under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 849165). We invite contributions that focus on the following methodological issues of using mobile apps, sensors, and wearables in surveys that are linked to Mobile Apps and Sensors in Surveys (MASS) and new Web data opportunities (WEB DATA OPP): Methodology: • Technical aspects of mobile apps and sensors; including different ways to collect sensor data, building apps for Android and iOS and data processing and storage • Study and app design; including the look and feel of apps, usability studies, use of incentives and giving feedback to respondents • Implementation; including willingness to participate and informed consent, methods to invite and communicate with study participants, study length and study intensity, legal considerations and ethical and privacy considerations • Quality of sensor data, including errors of non-representation (e.g., self-selection, coverage, and nonparticipation) and measurement error (e.g., prevention, modeling, and correction) • Data analysis; including analyzing sensor data (e.g., through machine and deep learning), combining survey, sensor, and app data Web data opportunities: • Webtracking • Visual and voice data • Geolocations • In-the moment surveys We encourage submission of work in progress and are particularly interested in studies that use experimental designs to test strategies to collect data from mobile apps, sensors, and wearables. We are open to both empirical studies as well as descriptions of research data collection infrastructure (e.g., front- or backend of an app) and processing of data from apps and sensors. Submission process: Please submit your abstract (max. 500 words) for the workshop to massworkshop(a)zohomail.eu<mailto:massworkshop@zohomail.eu>. The abstract should contain a research question, data collection procedures/the description of the app, and results if available. If results are not available yet, the abstract should outline the type of analyses that will be presented at the workshop and whether data collection took place already. We have some funding available for travel and lodging support. Please indicate whether you need travel support in your submission: • Yes, I need travel support • No, I do not need travel support Participation in the workshop is only possible when an abstract is accepted for the workshop. We intend to keep the workshop limited to about 40 participants. Timeline: • 20 January 2026: Deadline for abstract submission. • 20 February 2026: Feedback on acceptance will be provided. • 6 March 2026: Registration deadline. • 20 May 2026: Deadline for handout submission – all participants will be required to submit a 5-page handout presenting context, screenshots, tables, or other supporting materials for the workshop. All participants are expected to read all handouts before coming to the workshop. 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: - Claassen, J., Lenzner, T., Höhne, J.K., & Ziller, C. (2025). A survey mode of the future? Investigating respondents’ willingness to participate in self-administered video-based web surveys. Methods Data Analyses. https://doi.org/10.12758/mda.2025.10 - Höhne, J.K., Claassen, J., Kühne, S., & Zindel, Z. (2025). Social media ads for survey recruitment: Performance, costs, user engagement. International Journal of Market Research. https://doi.org/10.1177/14707853251367805 - Höhne, J.K., Lenzner, T., & Claassen, J. (2025). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology. https://doi.org/10.1080/13645579.2024.2443633 - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (2024). Bots in web survey interviews: A showcase. International Journal of Market Research. https://doi.org/10.1177/14707853241297009 - 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. https://doi.org/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. https://doi.org/10.1093/jssam/smae031 Visit us also on [cid:image001.jpg@01DC4E3F.EAA30290] <https://eduresearch.social/@DZHW> & Linkedin [cid:image002.jpg@01DC4E3F.EAA30290] <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: Dr. Marcus Beiner Administrative Director: Regina Oelfke VAT No. DE291239300 | TAX ID No. 25/206/21502 Registe<https://www.linkedin.com/company/dzhw-gmbh>rgericht: Amtsgericht Hannover | HRB 210251

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Reminder: Call for Submissions for GOR 2026 (Deadline: 14 November)
by Kühne, Simon 05 Nov '25

05 Nov '25

REMINDER (Submission Deadline: 14 November 2025) Call for Submissions - Share Your Research at GOR 26! What: GOR Annual Conference 2026 (GOR 26, https://www.gor.de<https://www.gor.de/>) When: 26 – 27 February 2026 (Workshops: 25 February) Where: Rheinische Hochschule Köln, Cologne, Germany The GOR Annual Conference connects professionals to discuss current developments in online and mobile survey methodology, (big) data science, smart data, AI, public opinion, and market research. GOR has been organised by the German Society for Online Research (DGOF, https://www.dgof.de/) since 1997. With more than 300 participants and over 100 presentations per year, GOR offers cutting-edge insights and intensive networking opportunities. The programme committee invites presenters from academia, industry, official statistics, government agencies, and other sectors to submit their work for presentation. Submissions will be accepted based on a double-blind peer review process. Submission Types & Deadlines: * Until 14 November 2025: Deadline for abstract submissions for Oral Presentations, GOR Impact & Innovation Award 2026 competition, GOR Thesis Award 2026 competition, Workshops * Until 05 December 2025: Deadline for submissions for Poster Presentations (incl. GOR Poster Award 2026) Please find the detailed Call for Submissions https://www.gor.de/about/call-for-submissions.html Infos & Contact Conference website: https://www.gor.de/ Email: office(a)dgof.de<mailto:office@dgof.de>  - - - November 2025 Prof. Dr. Simon Kühne GOR 26 Programme Chair on behalf of the programme committee --- Prof. Dr. Simon Kühne Social Data Science Fakultät für Soziologie Universität Bielefeld

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Hinweis auf zwei Sonderveranstaltungen der GESIS Meet-the-Experts-Reihe
by Neuert, Cornelia 05 Nov '25

05 Nov '25

** English below // Abstracts at the end of this email ** Liebe Kolleg*innen, gerne möchte ich Sie auf zwei Sonderveranstaltungen im Rahmen unserer GESIS-Reihe "Meet the Experts" aufmerksam machen: "Meet the Data" und "Meet the Editors"! Das Meet-the-Data-Special "Introducing the Scientific Use File for PIAAC 2023 Germany" findet am Donnerstag, den 20. November, von 13:00 bis 14:30 Uhr statt. Das Meet-the-Editors-Special "MDA - Lessons learned: Exploring the Methodological Choices, Challenges and Solutions in working with New Data Sources" findet am Donnerstag, 18. Dezember, von 15:00 bis 16:30 Uhr (!) statt. Weitere Informationen zu den Sonderveranstaltungen sowie zur Anmeldung (Zoom) finden Sie hier: Meet the Experts - Expert*innen geben Einblicke in aktuelle Forschungsthemen<https://www.gesis.org/angebot/wissen-vermitteln/meet-the-experts> Im Namen des Meet the Experts-Team Ayline Heller & Dorothée Behr *** Dear colleagues, We are excited to present to you this fall two specials of our GESIS Meet the Experts Series: Meet the Data and Meet the Editors The Meet the Data Special "Introducing the Scientific Use File for PIAAC 2023 Germany" will take place Thursday, November 20th, 1-2:30pm, and a Meet the Editors Special "MDA - Lessons learned: Exploring the Methodological Choices, Challenges and Solutions in working with New Data Sources" will take place on Thursday, December 18th, 3-4:30pm (!). Further information on the special events and registration (Zoom) can be found here: Meet the Experts - Expert Insights into current Research Topics<https://www.gesis.org/en/services/sharing-knowledge/meet-the-experts> Your Meet the Experts Team Ayline Heller & Dorothée Behr *** Meet the Data: Introducing the Scientific Use File for PIAAC 2023 Germany Natascha Massing<https://www.gesis.org/institut/ueber-uns/mitarbeitendenverzeichnis/person/n…>, Silke Martin<https://www.gesis.org/institut/ueber-uns/mitarbeitendenverzeichnis/person/s…> and Anouk Zabal<https://www.gesis.org/institut/ueber-uns/mitarbeitendenverzeichnis/person/a…> The second cycle of PIAAC, the Programme for the International Assessment of Adult Competencies, measured literacy, numeracy, and adaptive problem-solving skills of the adult population (aged 16 to 65) in 31 countries. In addition to the cognitive data, PIAAC also collected data from a comprehensive background questionnaire. The German team at GESIS recently published a Scientific Use File (SUF) with the German PIAAC 2023 data. This "Meet the Data" session offers an introduction to the German SUF data for all interested data users. The objective is to provide you with general information on PIAAC, give an overview of the background questionnaire and its plethora of analytically interesting variables, and introduce the dataset, key tools, and documentation. We will go into some specifics of the German data, for example the measurement of education, point out some particularities of the PIAAC data (e.g., structure, missing scheme, weighting concept, plausible values), and talk about similarities and differences between Cycles 1 and 2 of PIAAC and how this impacts trend comparisons. This is the opportunity for you to interact with the data producers and address your questions directly. Meet the editor: Exploring the Methodological Choices, Challenges and Solutions in working with New Data Sources Trent D. Buskirk, Rachel Gibson (Guest Editors) in conversation with authors. This special session of the GESIS Meet the Experts format "Meet the Editor" is based on a Special Issue of the Journal mda that explores and promotes scholarly reflection and transparency on emerging best practices in the collection, processing, analysis and sharing of new data sources within the research community. It is a topic of growing importance for quantitative social sciences given that social media and digital trace data as well as data collected from sensors are now widely used in many areas of research. In large part, the appeal of these data is that they offer fresh insight into new and ongoing research questions and allow researchers access to 'harder to reach' geographies and populations. Notwithstanding their appeal, these data can often be difficult to obtain due to platform restrictions, are subject to potentially multiple sources of unknown bias and require extensive curation and cleaning prior to analysis. In this special issue, we bring together a range of papers that highlight the challenges and opportunities in working with these new and emerging digital trace data sources, and in particular the value they add when integrated with more traditional forms of data. As well as showcasing papers that directly explore the 'added' value of these new data sources for investigating ongoing social science debates, the Special Issue incorporates an exciting new initiative in which authors share with readers their reflections on the process of producing their published work. Through these so-called 'reflective appendices' our authors explicitly confront and interrogate the assumptions and processes that guided their analysis and explain where and how these changed during the course of their research. Questions addressed include whether decisions regarding sampling frames and sizes were adjusted, if alternative forms of data were considered and adopted or discarded, whether the methodological and analytical approaches designated at the start were modified in any way to adapt to issues in working with new data sources and what if any 'lessons learned' they would pass on to others in the field to improve the robustness of future studies seeking to exploit these new forms of data. Longer term, we hope the Special Issue and particularly our authors' reflective appendices serve to promote the ongoing shift toward embedding a more 'open research' culture within the social sciences. The session will involve guest editors Trent D. Buskirk and Rachel Gibson and Special Issue authors in a discussion about how their work contributes to a better understanding the challenges and solutions in working with new data sources, and what they perceive as the value of the reflective appendices both in relation to their own work but for the discipline more generally. Dr. Cornelia Neuert (she/her) Team lead Questionnaire Design & Evaluation Survey Design & Methodology [cid:image002.jpg@01DC4E47.BCBA6910]<https://www.gesis.org/en/home> B6, 4-5 | 68519 Mannheim +49 (0) 621 1246 Extension cornelia.neuert(a)gesis.org<mailto:cornelia.neuert@gesis.org> [Ein Bild, das Symbol, Logo, Schrift, Grafiken enthält. Automatisch generierte Beschreibung]<https://www.facebook.com/gesis.org/> [Ein Bild, das Screenshot, Reihe, Electric Blue (Farbe), Grafiken enthält. Automatisch generierte Beschreibung] <https://twitter.com/gesis_org> [Ein Bild, das Logo, Grafiken, Kreis, Screenshot enthält. Automatisch generierte Beschreibung] <https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fwww.gesis…> [Ein Bild, das Kreis, Grafiken, Design enthält. Automatisch generierte Beschreibung] <https://www.instagram.com/gesis_lifs/?igshid=12x9jh7rglo97> [Ein Bild, das Schrift, Grafiken, Logo, Text enthält. Automatisch generierte Beschreibung] <https://www.youtube.com/user/GESIStv> [Ein Bild, das Grafiken, Kreis, Symbol, Logo enthält. Automatisch generierte Beschreibung] <https://blog.gesis.org/> You can find our information on data protection under https://www.gesis.org/en/institute/data-protection

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GESIS Spring Seminar 2026 on Advanced Regression Modeling – Registration is Open!
by Wenz, Sebastian 03 Nov '25

03 Nov '25

Liebe Kolleg*innen in der Methodensektion, wir freuen uns, Euch und Ihnen hiermit das Programm des GESIS Spring Seminar 2026 zukommen lassen zu können. Die Ankündigung und alle relevanten Infos zu den einzelnen Kursen und zur Registrierung finden sich unten bzw. auf den unten verlinkten Websites. Viele Grüße aus dem Rheinland, Sebastian ***Apologies for cross-posting*** Dear colleagues, We are delighted to announce the program of the GESIS Spring Seminar 2026! The Spring Seminar is renowned for providing high-quality training in state-of-the-art techniques in quantitative data analysis taught by leading experts in the field. Each year, we select a topic that reflects the latest advancements and innovations in social science research methodology. The Spring Seminar is designed for advanced graduate or PhD students, post-docs, and senior researchers. In 2026, our focus will be on Advanced Regression Modeling. Extensive hands-on exercises and tutorials complement the lectures in each course. The Spring Seminar 2026 will take place both online and at GESIS Cologne, Germany, from 9 to 27 March 2026. For registration and detailed course descriptions, please visit https://t1p.de/spring2026. Program: Week 1 (09–13 March) Advanced Problems in Multilevel and Longitudinal Modeling<https://t1p.de/spring26-week1%20%20> George Leckie (University of Bristol) Week 2 (16–20 March) Advanced Modeling of Categorical Dependent Variables<https://t1p.de/spring26-week2> Maria Kateri (RWTH Aachen University), Irini Moustaki (London School of Economics and Political Science) Week 3 (23–27 March) Advanced Problems in Structural Equation Modeling<https://t1p.de/spring26-week3> Suzanne Jak (University of Amsterdam), Terrence Jorgensen (University of Amsterdam) Courses must be booked separately—whether you wish to attend one, two, or all three. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. Thanks to our cooperation with the Cologne Graduate School in Management, Economics, and Social Sciences at the University of Cologne<https://cgs.uni-koeln.de/en/> you can obtain three ECTS credit points per one-week course. More information is available here<https://www.gesis.org/en/gesis-training/what-we-offer/spring-seminar-cuttin…>. For detailed information on the Spring Seminar 2026, please visit www.gesis.org/springseminar<http://www.gesis.org/springseminar>. Related GESIS Workshops you might be interested in: 23 – 24 Feb 2026: Fundamentals and Advanced Topics in Modeling Interaction Effects<https://t1p.de/interaction-effects-2026> 04 – 06 March 2026: Introduction to Structural Equation Modeling<https://t1p.de/Intro-SEM26> 16–17 & 23–24 April 2026: Bayesian Modelling: From Foundations to Custom Solutions<https://t1p.de/bayesian-modelling-2026> For the complete list of Workshops, please visit www.gesis.org/workshops<http://www.gesis.org/workshops>. We would appreciate it if you could forward this announcement to other potentially interested parties. Thank you, and best wishes, Your GESIS Training team --- GESIS – Leibniz Institute for the Social Sciences email: training(a)gesis.org<mailto:training@gesis.org> web: www.gesis.org/training<http://www.gesis.org/training> Training on Social Media: Bluesky: https://bsky.app/profile/gesistraining.bsky.social Facebook: https://www.facebook.com/GESISTraining LinkedIn: https://www.linkedin.com/company/gesistraining Sebastian E. Wenz (he/him) Senior Researcher KEO | Training [cid:image002.jpg@01DC4CE3.023B7350]<http://www.gesis.org/> Unter Sachsenhausen 6-8 | 50667 Köln +49 (0) 221 47694-159 sebastian.wenz(a)gesis.org<mailto:sebastian.wenz@gesis.org> www.gesis.org<https://www.gesis.org/> [Ein Bild, das Symbol, Logo, Schrift, Grafiken enthält. Automatisch generierte Beschreibung]<https://www.facebook.com/gesis.org/> [cid:image004.png@01DC4CE3.023B7350] <https://bsky.app/profile/gesis.org> [Ein Bild, das Logo, Grafiken, Kreis, Screenshot enthält. Automatisch generierte Beschreibung] <https://www.linkedin.com/company/gesis-org> [Ein Bild, das Kreis, Grafiken, Design enthält. Automatisch generierte Beschreibung] <https://www.instagram.com/gesis_lifs/> [Ein Bild, das Schrift, Grafiken, Logo, Text enthält. Automatisch generierte Beschreibung] <https://www.youtube.com/user/GESIStv> [Ein Bild, das Grafiken, Kreis, Symbol, Logo enthält. Automatisch generierte Beschreibung] <https://blog.gesis.org/> [cid:image009.png@01DC4CE3.023B7350] <https://sciences.social/@GESIS> You can find our information on data protection at https://www.gesis.org/en/institute/data-protection

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Re: Call for Paper - Methodische und methodologische Konsequenzen des digitalen Wandels: Länge des Abstracts?
by Georg Mueller 02 Nov '25

02 Nov '25

Vielen Dank für den nachfolgenden CfP. Wie lange (Anz. Wörter/Zeichen) muss denn das *extended abstract* sein? M.f.G.: Georg P. Müller Uni Fribourg / Schweiz Von: "Prof. Dr. Susanne Vogl" <susanne.vogl(a)sowi.uni-stuttgart.de> Antworten an: "Prof. Dr. Susanne Vogl" <susanne.vogl(a)sowi.uni-stuttgart.de> Datum: Sonntag, 2. November 2025 um 09:50 An: <methoden(a)mailman.uni-konstanz.de> Cc: Weichbold Martin <Martin.Weichbold(a)plus.ac.at> Betreff: [Methoden] Call for Paper - Methodische und methodologische Konsequenzen des digitalen Wandels Liebe Kolleginnen, liebe Kollegen, für ein Themenheft der Österreichischen Zeitschrift für Soziologie suchen wir Beiträge, die sich mit den Folgen des digitalen Wandels für die sozialwissenschaftlichen Methoden und deren Methodologie befassen. Im Zentrum stehen method(olog)ische Fragestellungen und deren Reflexion in (mind.) einem der Schwerpunktsetzungen: Methoden und Methodologie in Zeiten zunehmender Digitalisierung neue Datenarten und größere Datenmengen Methoden zur Erforschung digitalen Wandels Es sind sowohl qualitative, quantitative, computational oder mixed methods Zugänge willkommen. Beiträge können auf Deutsch oder Englisch verfasst werden. Deadline für extended abstracts: 31.01.2026 Weitere Informationen: https://link.springer.com/collections/ciibhhdehb Viele Grüße Martin Weichbold & Susanne Vogl -- Prof. Dr. Susanne Vogl Head of Department of Sociology and Social Research Methods University of Stuttgart Seidenstraße 36 D-70174 Stuttgart Recent publications: Bazeley, P., Vogl, S. (2026). Integrating Analysis in Mixed Methods Research. Sage Publishing.

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Call for Paper - Methodische und methodologische Konsequenzen des digitalen Wandels
by Prof. Dr. Susanne Vogl 02 Nov '25

02 Nov '25

Liebe Kolleginnen, liebe Kollegen, für ein Themenheft der Österreichischen Zeitschrift für Soziologie suchen wir Beiträge, die sich mit den Folgen des digitalen Wandels für die sozialwissenschaftlichen Methoden und deren Methodologie befassen. Im Zentrum stehen method(olog)ische Fragestellungen und deren Reflexion in (mind.) einem der Schwerpunktsetzungen: * Methoden und Methodologie in Zeiten zunehmender Digitalisierung * neue Datenarten und größere Datenmengen * Methoden zur Erforschung digitalen Wandels Es sind sowohl qualitative, quantitative, computational oder mixed methods Zugänge willkommen. Beiträge können auf Deutsch oder Englisch verfasst werden. * Deadline für extended abstracts: 31.01.2026 Weitere Informationen: https://link.springer.com/collections/ciibhhdehb Viele Grüße Martin Weichbold & Susanne Vogl -- Prof. Dr. Susanne Vogl Head of Department of Sociology and Social Research Methods University of Stuttgart Seidenstraße 36 D-70174 Stuttgart Recent publications: Bazeley, P., Vogl, S. (2026). Integrating Analysis in Mixed Methods Research. Sage Publishing.

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MAXQDA Veranstaltungen im November
by research.network＠maxqda.de 29 Oct '25

29 Oct '25

Liebe Liste, schon wieder ist ein Monat vergangen und das Jahr neigt sich dem Ende zu. Doch mit MAXQDA lässt sich auch der Winter spannend gestalten. Hier senden wir Ihnen unsere Veranstaltungen für die kalte Jahreszeit. Ein Highlight im November ist der MAXQDA Online Starter Workshop am 14.11. Hier geht es zur Anmeldung: MAXQDA - Online Starter Workshop November | MAXQDA<https://www.maxqda.com/de/workshop/maxqda-24-online-starter-workshop-oktobe…> An dieser Stelle möchten wir dem Mixed-Methods-Experten Dr. John W. Cresswell alles erdenklich Gute zu seinem 80. Geburtstag wünschen! Wir freuen uns sehr, ihn als unseren Keynote-Speaker bei der MAXDAYS Asia Edition am 2. Dezember begrüßen zu dürfen. Sie sind herzlich zu der Online-Konferenz eingeladen. Weitere Informationen finden Sie hier: MAXDAYS Asia<https://www.maxqda.com/maxdays-asia> Und hier ist eine Übersicht der weiteren Veranstaltungen: Deutsch 04.11. Einführung in MAXQDA<https://zoom.us/webinar/register/WN_bitpKajTTUqB_9rn4fQncQ?_x_zm_rtaid=J5zv…> 06.11. Qualitative Inhaltsanalyse mit MAXQDA<https://zoom.us/webinar/register/WN_bKC0eM5wT4Kwt0xpa5FMew?_x_zm_rtaid=J5zv…> 06.11. Dokumentarische Methode mit MAXQDA<https://zoom.us/webinar/register/WN_B_QqB3LnSXudR4Qe6UD0Jw?_x_zm_rtaid=J5zv…> 12.11. Visualisieren von Daten und Ergebnissen mit MAXQDA<https://zoom.us/webinar/register/WN_M5MfHo1NTV2x0oWLlyt7EA?_x_zm_rtaid=J5zv…> 13.11. KI-unterstützte Qualitative Inhaltsanalyse mit MAXQDA und AI Assist<https://zoom.us/webinar/register/WN_Hp88BrSPTcaWUtO507ALwA?_x_zm_rtaid=J5zv…> 13.11. Grounded Theory mit MAXQDA<https://zoom.us/webinar/register/WN_7bPwVQANRA2pplEp0ZyNtQ?_x_zm_rtaid=J5zv…> 25.11. MAXQDA Tailwind: Eine neue KI-gestützte App zur Qualitativen Datenanalyse<https://zoom.us/webinar/register/WN_QLpoI4MeTPaGHuFRvSvwdQ?_x_zm_rtaid=J5zv…> 27.11. Analyse von Fokusgruppen und Gruppendiskussionen<https://zoom.us/webinar/register/WN_IGaJKtLrS2mY6qP51vP72g?_x_zm_rtaid=J5zv…> Englisch 04.11. The ABC of MAXQDA<https://zoom.us/webinar/register/WN_qbaSworFSB-39mS_Fr5flQ?_x_zm_rtaid=J5zv…> 04.11. Special Event: Research Session<https://zoom.us/webinar/register/WN_7WeEN9SCQ2OH114MN_uO0Q?_x_zm_rtaid=J5zv…> 06.11. Take off with AI Assist<https://zoom.us/webinar/register/WN_strfIqXeQAWUx8qxj8E4Tg?_x_zm_rtaid=J5zv…> 10.11. Literature Reviews with Tailwind and MAXQDA AI-Assist<https://zoom.us/webinar/register/WN_xCflN-buRHKDCSSG-6KH7w?_x_zm_rtaid=J5zv…> 11.11. Use MAXQDA with a Deductive Coding Approach<https://zoom.us/webinar/register/WN_whlOGxwZR0qLEca-ajIVsw?_x_zm_rtaid=J5zv…> 13.11. Mixed Methods Analysis<https://zoom.us/webinar/register/WN_UN_S3X-gQfqhtFcmf-5e8w?_x_zm_rtaid=J5zv…> 20.11. Explore MAXQDA Tailwind<https://zoom.us/webinar/register/WN_0DVKfTq2TT630tVtStX6Uw?_x_zm_rtaid=J5zv…> 21.11. Making use of word-based features in your research<https://zoom.us/webinar/register/WN_D2nsYhMdSKOOg3z_avjKvw?_x_zm_rtaid=J5zv…> Wir freuen uns auf Sie! Beste Grüße und einen schönen November, Camilla -- Camilla Heldt - 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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Reminder: CS3 Meeting for Computational Survey and Social Science
by Claaßen, Joshua 27 Oct '25

27 Oct '25

***Apologies for cross-posting Dear colleagues, This is a gentle reminder for the next CS3 meeting with Georg Ahnert (University of Mannheim) talking about Analytic flexibility in silicon samples: Generating survey responses with Large Language Models<https://jkhoehne.eu/wp-content/uploads/2025/10/CS3_meeting_GA.pdf> on October 29, 2025, from 3:15 to 4:00 PM (CET). Please sign up for the meeting by October 28, 2025: 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> | Bluesky: @jclaass.bsky.social Most recent publications: - Claassen, J., Höhne, J.K., & Kuhlmann, J. (in press). Asking for feedback: Innovating final comment questions in self-administered web surveys. Journal of Survey Statistics and Methodology. - Claassen, J., Lenzner, T., Höhne, J.K., & Ziller, C. (2025). A survey mode of the future? Investigating respondents' willingness to participate in self-administered video-based web surveys. Methods Data Analyses. DOI: 10.12758/mda.2025.10 - Höhne, J.K., Claassen, J., Kühne, S., & Zindel, Z. (2025). Social media ads for survey recruitment: Performance, costs, user engagement. International Journal of Market Research. DOI: 10.1177/14707853251367805 - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (2025). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - Höhne, J.K., Lenzner, T., & Claassen, J. (2025). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology. DOI: 10.1080/13645579.2024.2443633 Registr<https://www.linkedin.com/company/dzhw-gmbh>ation court: Amtsgericht Hannover | HRB 210251 Chairman of the supervisory board: Ministerialdirigent Peter Greisler Scientific Director: Dr. Marcus Beiner Administrative Director: Regina Oelfke VAT No. DE291239300 | TAX ID No. 25/206/21502 Registergericht: Amtsgericht Hannover | HRB 210251

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CS3 Meeting for Computational Survey and Social Science
by Claaßen, Joshua 21 Oct '25

21 Oct '25

***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. Georg Ahnert (University of Mannheim) talks about Analytic flexibility in silicon samples: Generating survey responses with Large Language Models<https://jkhoehne.eu/wp-content/uploads/2025/10/CS3_meeting_GA.pdf> on October 29, 2025, from 3:15 to 4:00 PM (CET). Please sign up for the meeting by October 28, 2025: https://ww3.unipark.de/uc/cs3_meeting_registration/ The next talk is by Zaza Zindel (DeZIM, Bielefeld University) entitled "Social media as a tool for survey recruitment: Opportunities and challenges" on November 25, 2025, from 3:15 to 4:00 PM (CET). 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> | Bluesky: @jclaass.bsky.social Most recent publications: - Claassen, J., Höhne, J.K., & Kuhlmann, J. (in press). Asking for feedback: Innovating final comment questions in self-administered web surveys. Journal of Survey Statistics and Methodology. - Claassen, J., Lenzner, T., Höhne, J.K., & Ziller, C. (2025). A survey mode of the future? Investigating respondents' willingness to participate in self-administered video-based web surveys. Methods Data Analyses. DOI: 10.12758/mda.2025.10 - Höhne, J.K., Claassen, J., Kühne, S., & Zindel, Z. (2025). Social media ads for survey recruitment: Performance, costs, user engagement. International Journal of Market Research. DOI: 10.1177/14707853251367805 - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (2025). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - Höhne, J.K., Lenzner, T., & Claassen, J. (2025). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology. DOI: 10.1080/13645579.2024.2443633 Visit us also on Mastodon [cid:image001.jpg@01DC426A.F3A1B520] <https://eduresearch.social/@DZHW> & Linkedin [cid:image002.jpg@01DC426A.F3A1B520] <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: Dr. Marcus Beiner Administrative Director: Regina Oelfke VAT No. DE291239300 | TAX ID No. 25/206/21502 Registergericht: Amtsgericht Hannover | HRB 210251

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