Methoden November 2025

methoden@mailman.uni-konstanz.de

13 participants
14 discussions

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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Methoden November 2025