Methoden December 2024

methoden@mailman.uni-konstanz.de

12 participants
12 discussions

CfP Workshop: "New Data, New Concepts? Sociological Theory and Big, Data in the Era of Computational Social Sciences"
by Sarah Tell 18 Dec '24

18 Dec '24

Dear colleagues, we organize a workshop on concept formation and theory building in the era of computational social sciences. The workshop will take place on June 12-13, 2025 in Bremen. Travel expenses for presenting participants can be partially reimbursed. The workshop is in particular relevant for scholars working at the intersection of theory building and social network analysis (with digital data). The Call for Papers is attached below. Looking forward to your contributions! Insa, Josefa, Thomas, and Sarah -- Sarah Tell, M.A. Wissenschaftliche Mitarbeiterin SOCIUM - Forschungszentrum Ungleichheit und Sozialpolitik Universität Bremen Mary-Somerville-Straße 9 D-28359 Bremen ========================================================================================= *New Data, New Concepts? Sociological Theory and Big Data in the Era of Computational Social Sciences* Organizers: Insa Pruisken, Josefa Loebell, Sarah Tell, Thomas Kern (University of Bremen) June 12-13, 2025, Haus der Wissenschaft, Bremen ========================================================================================= The digital age has brought about an unprecedented availability of new and diverse data sources (Macy, 2015, p. 2). Social media platforms, websites, digital archives, sensor networks, and transactional records provide vast quantities of information about human behavior, interaction, and social organization. This influx of new kinds of data has been accompanied by the rapid development of methods to analyze it, particularly within the emerging field of /Computational Social Sciences/. Methods such as social network analysis, quantitative text analysis, and machine learning have advanced significantly and found applications far beyond sociology, extending into fields such as computer science, information science, and social physics (e.g., Tindall et al., 2022). Meanwhile, artificial intelligence and machine learning are increasingly employed to extract patterns, predict behaviors, and model social phenomena (e.g., Borch & Pardo-Guerra, 2023). At the same time, methods have emerged that allow for the analysis of large volumes of textual data (e.g., Evans & Aceves, 2016; Macanovic, 2022; Nelson, 2020). These tools and techniques have transformed the ways in which we approach, frame, and analyze social data. While computational methods and data analytics have expanded our technical capabilities, there is a growing recognition that sociological theory has not evolved at the same pace to adequately address and interpret the complexities of the digital era. Existing theories often struggle to incorporate or make sense of digital phenomena, leading to a gap between empirical findings and theoretical understanding (e.g., Bonikowski & Nelson, 2022; Schwarz, 2021, p. 2). Simultaneously, the traditional role of social theory is fundamentally changing. The challenge shifts “from thinking about the most cost-effective data that one needs to collect in order to support, or refute, a hypothesis, to figuring out how to structure a mountain of data into meaningful categories of knowledge” (Goldberg, 2015, p. 2). To address this challenge, sociologists must engage in /conceptual and theoretical innovation/. This involves revising and expanding conceptual frameworks to make them compatible with and relevant to the analysis of digital data. Such an endeavor would not only strengthen the explanatory power of sociology but also enhance its capacity to provide meaningful interpretations of digital interactions, structures, and their societal implications. We ask for contributions that study processes both at the conceptual and interpretative level of social theory and address at least one of the following questions: (1) How do core sociological concepts evolve in the context of processes such as datafication and platformiza¬tion? What do notions like “action” and “agency,” “communication,” or “interaction” mean in the digital space? How should foundational concepts like “social structures” and “order formation” be reinterpreted when they emerge on platforms? What constitutes digital actors and digital “identities”? (2) How do digital platforms – as new forms of social organization – influence the differentiation of society? How do they affect social inequality? How does the culture of society change in relation to its social structure? How are processes of social inequality reconfigured in the digital era? ========================================================================================= *Workshop Format and Submission Guidelines* The workshop is aimed at scholars at various stages of their academic careers. We are seeking contributions that advance the development of sociological theory and, at the same time, engage empirically with digital data or apply methods from Computational Social Sciences. The central question guiding this workshop is to articulate the challenges that arise for sociological theory in response to the engagement with “new data.” Please send your short paper (3 to 5 pages) to Insa Pruisken (pruisken(a)uni-bremen.de <mailto:pruisken@uni-bremen.de>), Josefa Loebell (loebell(a)uni-bremen.de <mailto:loebell@uni-bremen.de>), Sarah Tell (sarah.tell(a)uni-bremen.de <mailto:sarah.tell@uni-bremen.de>), and Thomas Kern (thomas.kern(a)uni-bremen.de <mailto:thomas.kern@uni-bremen.de>). Submission date is *February 14, 2025*. ========================================================================================= *References* Bonikowski, B., & Nelson, L. K. (2022). From Ends to Means: The Promise of Computational Text Analysis for Theoretically Driven Sociological Research. Sociological Methods & Research, 51(4), 1469–1483. Borch, C., & Pardo-Guerra, J. (Eds.). (2023). The Oxford Handbook of the Sociology of Machine Learning. Oxford University Press. Evans, J. A., & Aceves, P. (2016). Machine Translation: Mining Text for Social Theory. Annual Review of Sociology, 42, 21–50. Goldberg, A. (2015). In defense of forensic social science. Big Data & Society, 2(2), 1–3. Macanovic, A. (2022). Text mining for social science: The state and the future of computational text analysis in sociology. Social Science Research, 108, 102784. Macy, M. W. (2016). An Emerging Trend: Is Big Data the End of Theory? In R. A. Scott & M. C. Buchmann (Eds.), Emerging Trends in the Social and Behavioral Sciences (pp. 1–14). Wiley. Nelson, L. K. (2020). Computational Grounded Theory: A Methodological Framework. Sociological Methods & Research, 49(1), 3–42. Schwarz, O. (2021). Sociological Theory for Digital Society: The Codes that Bind Us Together. Polity Press. Tindall, D., McLevey, J., Koop-Monteiro, Y., & Graham, A. (2022). Big data, computational social science, and other recent innovations in social network analysis. Canadian Review of Sociology, 59(2), 271–288.

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10 Minuten Befragungszeit für Ihre Studie zum Anlass des 10. Geburtstag des GESIS Panel
by Rembser, Lena 18 Dec '24

18 Dec '24

Liebe Kolleginnen und Kollegen, das GESIS Panel ist 10 Jahre alt geworden! Wir freuen uns, Sie zu diesem Anlass zu einem einmaligen Call einzuladen: 10 Minuten Befragungszeit im GESIS Panel.pop zum 10. Geburtstag! Das GESIS Panel.pop Population Sample ist ein Mixed-Mode Panel aufbauend auf zufallsbasierten Stichproben der erwachsenen deutschsprachigen Wohnbevölkerung in Deutschland und erlaubt damit Schlüsse auf die Allgemeinbevölkerung. Etwa 5.000 Befragte werden viermal pro Jahr webbasiert oder per Papierfragebogen interviewt. Nach 10 Jahren Datenerhebung mit dem GESIS Panel.pop im regulären Betrieb ist ein thematisch diverser Datensatz mit quer- und längsschnittlichen Befragungsmodulen entstanden (inklusive der GESIS Panel.pop längsschnittlichen Kernstudien<https://www.gesis.org/gesis-panel/dokumentation/dokumentation-gesis-panelpo…>). Alle Forschenden haben Zugriff auf den gesamten Datensatz des GESIS Panel.pop<https://www.gesis.org/gesis-panel/datenzugang> (bislang 53 Befragungswellen), den relevanten Variablen für die Soziologie, Psychologie, Politikwissenschaft, Wirtschaftswissenschaften und andere Disziplinen enthalten. Forschende können über Regular Submissions<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> oder Short Submissions<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> die Survey-Fragen für Ihre Forschung zur kostenlosen Datenerhebung einreichen - allerdings sind Befragungsslots auf eine Dauer von maximal fünf Minuten begrenzt. Zum Anlass des 10. Geburtstag des GESIS Panel.pop bieten wir nun einmalig einen Survey Slot mit einer Befragungsdauer von 10 Minuten an (maximal 50 Survey-Fragen/Items). Die Einreichungen im Rahmen dieses Calls durchlaufen eine kompetitive Begutachtung, wobei die beste Studie den Erhebungsslot für eine Datenerhebung erhält. Feldzeit und Einreichungsfrist Für den Call wurde ein Erhebungsslot in einer unserer Erhebungswellen im Jahr 2026<https://www.gesis.org/gesis-panel/dokumentation/dokumentation-gesis-panelpo…> reserviert (Welle "nb", "nc" oder "nd"). Die Deadline zum Einreichen im Rahmen dieses 10-Jahres-Call ist der 31. Mai 2025. Spätestens im Herbst 2025 steht fest, welche Einreichung in den zehnminütigen Erhebungsslot integriert wird. Einreichung Füllen Sie bitte unser Einreichungsformular 10-Jahres-Call<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions_GP.pop/GESIS…> (187kB) aus und das GESIS Panel.pop Fragebogen-Template<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions_GP.pop/GESIS…> (21kB). Sie können Ihre Studie auch auf bestehende Variablen des GESIS Panel.pop aufbauen oder diese replizieren. In unserem Codebuch<https://dbk.gesis.org/dbksearch/download.asp?db=E&id=52381> (36MB) und in unserer Studienbeschreibung<https://access.gesis.org/dbk/52787> (3MB) finden Sie einen Überblick über unsere reichhaltigen Daten. Bitte beachten Sie: Für Einreichungen im Rahmen des 10-Jahres-Call sind keine längsschnittlichen Erhebungen oder Experimente möglich. Wir freuen uns auf Ihre Einreichungen per E-Mail an info(a)gesis-panel.org<mailto:info@gesis-panel.org>. Zögern Sie nicht, uns bei Fragen zu kontaktieren. Den Call finden Sie auch auf der Webseite des GESIS Panels: https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> Die Einreichungspfade des GESIS Panel.pop Sie können jederzeit außerhalb dieses Calls über unsere Einreichungspfade<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> Ihre Studie beim GESIS Panel.pop für eine kostenfreie Datenerhebung einreichen. Die Einreichungen werden fortlaufend begutachtet und in unsere Erhebungswellen platziert. Regular Submissions<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> erlauben die Einreichung von Items mit maximal 5 Minuten Befragungszeit. Zudem können im Rahmen von Regular Submissions Experimente mit bis zu vier Experimentalgruppen implementiert werden. Short Submissions<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> erlauben die Einreichung von Items im Umfang von maximal einer Minute Befragungszeit. Auch im Rahmen von Drittmittelfinanzierten Studien<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…> können Sie Ihre Items im GESIS Panel.pop fielden - die Reservierung von Erhebungsslots für bestimmte Wellen bereits vor der Förderungszusage oder vor dem Projektbeginn, ist allerdings mit Kosten verbunden. Längsschnittliche Datenerhebung ist in allen unseren Einreichungspfaden möglich. Das GESIS Panel-Team freut sich über Ihre Einreichung. Beste Grüße, Lena Rembser =============================================================================================== Dear colleagues, The GESIS Panel celebrates its 10th anniversary! We are pleased to invite you to a unique call on this occasion: 10 minutes survey time in the GESIS Panel.pop for the 10th anniversary! The GESIS Panel.pop Population Sample is a mixed-mode panel based on random survey samples of the adult German-speaking population of Germany and thus allows drawing conclusions about the general population. About 5,000 respondents are interviewed four times a year, either web-based or via paper questionnaires. After 10 years of regular data collection with the GESIS Panel.pop, a thematically diverse data set with cross-sectional and longitudinal survey modules has been created (including the GESIS Panel.pop longitudinal Core Studies<https://www.gesis.org/en/gesis-panel/documentation/longitudinal-core-studie…>). All researchers have access to the entire GESIS Panel.pop data<https://www.gesis.org/en/gesis-panel/data-access> (53 survey waves to date), containing relevant variables for sociology, psychology, political science, economics, and other disciplines. Researchers can submit survey questions via Regular Submissions<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> or Short Submissions<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> for their research for data collection free of charge - however, survey slots are limited to a maximum duration of five minutes. To celebrate the 10th anniversary of the GESIS Panel.pop, we offer one survey slot of 10 minutes survey time (maximum of 50 survey questions/items). The submissions within the frame of this call undergo a competitive review, with the best study receiving the survey slot for data collection. Timeline For this call, a survey slot is reserved in one of our survey waves in 2026<https://www.gesis.org/en/gesis-panel/documentation/wave-schedule-gppop> (wave "nb", "nc" or "nd"). The deadline for submitting to this 10th-Anniversary-Call is May 31, 2025. Which submission will be integrated into our ten-minute survey slot will be decided at the latest by fall 2025. How to submit Please fill out our 10th-Anniversary-Call submission form<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions_GP.pop/GESIS…> (187kB) and the GESIS Panel.pop questionnaire template<https://www.gesis.org/fileadmin/upload/GESIS_Panel/Submissions_GP.pop/GESIS…> (21kB). You can also base your study on existing GESIS Panel.pop variables or replicate them. In our Codebook<https://dbk.gesis.org/dbksearch/download.asp?db=E&id=52381> (36MB) and in our Study Description<https://access.gesis.org/dbk/52787> (3MB), you can find an overview of our comprehensive data. Please note that longitudinal data collection or experiments are not possible within the framework of the 10th-Anniversary-Call. We look forward to receiving your proposals via email at info(a)gesis-panel.org<mailto:info@gesis-panel.org>. Please do not hesitate to contact us if you have any questions. You can also find this call on the GESIS Panel website: https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-… The submission paths of the GESIS Panel.pop You can submit your study to the GESIS Panel.pop for free data collection at any time beyond this call via our submission paths<https://www.gesis.org/gesis-panel/datenerhebung/datenerhebung-gesis-panelpo…>. Submissions are evaluated on a rolling basis and integrated into our survey waves. Regular Submissions<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> allow submitting items with a maximum survey time of 5 minutes. In addition, experiments with up to four experimental groups can be implemented as part of Regular Submissions. Short Submissions<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> allow submitting items with a maximum survey time of one minute. You can also field your items in the GESIS Panel.pop as part of Third-party funded Studies<https://www.gesis.org/en/gesis-panel/data-collection/data-collection-gesis-…> - however, reserving survey slots for specific waves before project funding is approved or before the project starts will incur a fee. Longitudinal data collection is possible in all our submission paths. The GESIS Panel Team is looking forward to receiving your submission. Best regards, Lena Rembser -- Lena Rembser Survey Project Management | GESIS Panel GESIS - Leibniz Institute for the Social Sciences B6, 4-5 | 68159 Mannheim | Germany +49 621 1246 566 For further information, follow us on: Our website: https://www.gesis.org/en/gesis-panel On Facebook: https://www.facebook.com/GESISPanel On X: https://x.com/GESIS_Panel On Instagram: https://www.instagram.com/gesis_panel/ Stay up to date with our GESIS Panel Newsletter: https://lists.gesis.org/mailman/listinfo/gesis-panel

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Bitte an ESRA Session Organizers
by Heinz Leitgöb 13 Dec '24

13 Dec '24

Liebe Kolleginnen und Kollegen, nachdem es in den letzten Tagen zu einer Flut an Werbemails für einzelne Sessions auf der ESRA 2025 Konferenz über den Sektionsverteiler gekommen ist, möchte ich die Session Organizer bitten, vom Versand weiterer Mails abzusehen. Stattdessen darf ich nochmals auf die Konferenz im Allgemeinen sowie auf eine Übersicht über alle angebotenen Sessions hinweisen: https://www.europeansurveyresearch.org/conference/utrecht-2025 https://www.europeansurveyresearch.org/conf2025/sessions.php Viele Grüße Heinz Leitgöb ******************************************************************** Dr. Heinz Leitgöb Interim Professor of Sociology and Research Methods Leipzig University Institute of Sociology Beethovenstraße 15 04107 Leipzig Germany Mail heinz.leitgoeb(a)uni-leipzig.de Web https://www.uni-leipzig.de/en/profile/mitarbeiter/dr-heinz-leitgoeb

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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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