Methoden

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Call for Papers (abstracts): General Online Research 2024
by Florian Keusch 11 Oct '23

11 Oct '23

*Call for Papers (abstracts): General Online Research 2024 * *(GOR 24,* *https://www.gor.de* <https://www.gor.de/>*)* *When:* * 21–23 February 2024* *Where: Rheinische Fachhochschule Köln gGmbH, Cologne, Germany* * Until *15 November 2023*: Deadline for abstract submissions for tracks A, B, C as well as the GOR Thesis Award 2024 competition * Until *30 November 2023*: Deadline for abstract submissions for GOR Best Practice Award 2024 and the Track D Session “Innovation in Practice” * Until *18 December 2023:* Deadline for submissions for Poster presentations (incl. GOR Poster Award 2024) *Main topics: Online and Mobile Web Surveys, Data Science, Big Data, Smart Data, Political Research, Public Opinion, Political Online Communication, Online Market Research* GOR is organized by the German Society for Online Research (DGOF, https://www.dgof.de/) since 1997. Each year around 300 participants attend the conference to discuss current developments in online research and best practices for their work in industry and academia. With more than 100 presentations addressing various subtopics of online research, GOR provides intensive training and networking opportunities. Partner and Co-Organizer: Rheinische Fachhochschule Köln – University of Applied Sciences, Prof. Dr. Christian Bosau Please find the detailed call at https://www.gor.de/about/call-for-papers.html *Conference Topics* This year’s conference seeks submissions in: * *Survey Research:* *Advancements in* *Online and Mobile Web Surveys (Track A)* * *Data Science: >From Big Data to Smart Data* *(Track B)* * *Politics, Public Opinion, and Communication* *(Track C)* The programme committee invites presenters from industry, academia, 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* 1. *Survey Research: Advancements in Online and Mobile Web Surveys (Track A)* 2. *Data Science: >From Big Data to Smart Data* *(Track B)* 3. *Politics, Public Opinion and Communication (Track C)* 4. *Best Practice Presentations (including the GOR Best Practice Award 2024 competition)* 5. *Posters (including the GOR Poster Award 2024 competition)* 6. *Thesis Presentations (including the GOR Thesis Award 2024 competition)* *Deadlines* * *15 November 2023*: Deadline for abstract submissions for Tracks A – C as well as the GOR Thesis Award 2024 competition * *30 November 2023*: Deadline for abstract submissions for GOR Best Practice Award 2024 and the Track D Session “Innovation in Practice” * *18 December 2023:* Deadline for submissions for Poster presentations (incl. GOR Poster Award 2024) * *3 January 2024*: Deadline presenting author registration (usually the first author) * *14 January 2024*: Deadline for early bird registration & for poster presenters registration (usually the first author) *Submission Format and Submission Procedure* The official conference language is English. Abstracts should be submitted online to one of the tracks via https://www.conftool.org/gor24/ The abstract can be up to 350 words. Abstracts will be peer-reviewed with respect to the quality of each of the four paragraphs in the abstract. */Template for abstract submission:/* Relevance & Research Question: ---your text here--- Methods & Data: ---your text here--- Results: ---your text here--- Added Value: ---your text here--- Please use the above template for your abstract submission (one paragraph for each criterion and include the keywords at the beginning of each paragraph). *Incomplete abstracts with respect to the formal criteria above are likely to be rejected.* *Contact Details* Conference website, abstract submission, workshops: https://www.gor.de/ Contact: office(a)dgof.de October 2023 Prof. Dr. Simon Kühne (GOR 24 Programme Chair) on behalf of the programme committee -- Florian Keusch Professor of Social Data Science and Methodology University of Mannheim School of Social Sciences Professorship for Social Data Science and Methodology | A5, 6 | 68131 Mannheim Germany Phone: +49 (0)621 181-3214 E-mail:f.keusch@uni-mannheim.de

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GESIS Workshops
by Kunz, Verena 10 Oct '23

10 Oct '23

***Apologies for cross-posting*** Dear colleagues, I'd like to draw your attention to the upcoming GESIS Workshops, taking place online, in Cologne or in Mannheim, mostly in the areas of quantitative methods and computational social science. The course program for the remainder of 2023 includes - amongst others - courses on interaction effects, power analysis, synthetic data, and multilingual text analysis before we kick off 2024 with workshops on propensity score matching, machine learning, computational text analysis, sensor data, and more. For more information and registration see the full list below or visit us at https://training.gesis.org/. 30. - 31.10. Fundamentals and Advanced Topics in Modeling Interaction Effects<https://bit.ly/ModelingInteractionEffects> (Mannheim) Janina Beiser-McGrath, Liam F. Beiser-McGrath 06. - 08.11. Sequence Analysis in the Social Sciences<https://bit.ly/SequenceAnalysis> (Online) Marcel Raab, Emanuela Struffolino 13. - 14.11. Power Analysis Through Simulation in R<https://bit.ly/PowAnalysis> (Online) Niklas Johannes 13. - 15.11. Synthetic Data: Generation and Evaluation<https://bit.ly/SynthData> (Online) Thom Volker 16. - 17.11. Workflows for Reproducible Research with R & Git<https://bit.ly/WfRRwRGit> (Online) Johannes Breuer, Bernd Weiß, Arnim Bleier 22. - 24.11. Introduction to Bayesian Statistics<https://bit.ly/IntroBayStat> (Online) Denis Cohen 28. - 30.11. Research Data Management and Open Science<https://bit.ly/23-11-RDM> (Online) Anja Perry, Sebastian Netscher 29.11. - 01.12. Einführung in die Strukturgleichungsmodellierung<https://bit.ly/Strukturgleichungsmodellierung> (Cologne) Marie-Ann Sengewald 06. - 08.12. Going Cross-Lingual: Computational Methods for Multilingual Text Analysis<https://bit.ly/MultilingualTextAnalysis> (Cologne) Hauke Licht, Fabienne Lind 07. - 08.12 & 14. - 15.12. Introduction to Event History Analysis<https://bit.ly/EventHis2023> (Online) Jan Skopek 11. - 15.12. Causal Mediation Analysis<https://bit.ly/CausalMediationAnalysis> (Online) Felix Thoemmes 13. - 15.12. Introduction to Stata<https://bit.ly/23-12-Intro_Stata> (Online) Alexandra Asimov, Katrin Firl 16. - 18.01. Introduction to R for Quantitative Social Science<https://bit.ly/24-01_IntroR> (Online) Ranjit Konrad Singh, Björn Rohr 18. - 19.01. Data Quality Assessment for Online Survey Responses: Be Careful of the Careless<https://bit.ly/DQA_OnlineSurveyResponses> (Mannheim) Nivedita Bhaktha, Thomas Knopf 29.01. - 01.02. Decomposition Methods in the Social Sciences<https://bit.ly/Decomposition_Methods> (Cologne) Johannes Giesecke, Ben Jann 14. - 15.02. Automatic Sampling and Analysis of YouTube Data<https://bit.ly/Sampling_Analysis_YouTubeData> (Online) Johannes Breuer, Rohangis Mohseni, Annika Deubel 20. - 21.02. Propensity Score Matching: Computation and Balance Estimation for two and more groups in R<https://bit.ly/Propensity_Score_Matching> (Online) Julian Urban 20. - 23.02. Applied Machine Learning with R<https://bit.ly/AppliedMachineLearningR> (Online) Paul Pauer 21. - 23.02. Durchführung qualitativer Interviews<https://bit.ly/QualInterviews24> (Cologne) Nicole Bögelein, Katharina Leimbach 26. - 27.02. Grounded-Theory-Methodologie<https://bit.ly/Grounded-Theory-Methodologie> (Online) Günter Mey, Paul Sebastian Ruppel 13. - 15.03. Introduction to Computational Text Analysis with R<https://bit.ly/ComputationalTextAnalysisR> (Online) Lea Kaftan, Jan Schwalbach 20. - 22.03. Applied Multiverse Analysis<https://bit.ly/App-multiverse-analysis> (Online) Reinhard Schunck 21. - 22.03. Using Smartphone Sensors, Apps, and Wearables<https://bit.ly/SmartphoneSensorsAppsWearables> (Online) Bella Struminskaya, Florian Keusch 24. - 26.04. Expert*inneninterviews<https://bit.ly/Expertinneninterviews> (Cologne) Laura Behrmann, Nicole Bögelein 14. - 17.05. Applied Data Visualization with R<https://bit.ly/AppliedDataVisualizationR> (Online) Paul Bauer 19. - 21.06. Grundlagen und aktuelle Debatten der Regressionsanalyse<https://bit.ly/Grundlagen_Debatten_Regression> (Mannheim) Michael Gebel, Stefanie Heyne 01. - 03.07. Geodata and Spatial Regression Analysis<https://bit.ly/GeodataSpatialRegression> (Mannheim) Tobias Rüttenauer If you have any questions concerning the course program, feel free to get in touch with me. Best wishes, Verena --- Verena Kunz (she/her) Scientific Coordinator Fall Seminar in Computational Social Science and Workshops GESIS - Leibniz-Insitute for the Social Sciences https://gesis.org<https://gesis.org/> | https://training.gesis.org/ @gesistraining<https://twitter.com/gesistraining> | facebook.com/GESISTraining/<https://www.facebook.com/GESISTraining/>

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Reminder: Two doctoral positions in a project on data quality (Deadline: Oct 15)
by Florian Keusch 09 Oct '23

09 Oct '23

Dear colleagues, We are looking for two doctoral candidates to work on a project on the quality of social science data. The project is a collaboration between the University of Mannheim, LMU Munich, and GESIS - Leibniz Institute for the Social Sciences, and applications are accepted at Mannheim and Munich: https://www.sowi.uni-mannheim.de/media/Lehrstuehle/sowi/Keusch/Dateien/KODA… https://job-portal.lmu.de/jobposting/530d1a596712121e49989673df5399734f9be1… The positions are initially offered for a period of 3 years and comes with the opportunity to pursue a PhD. Please refer these positions to potential candidates or apply yourself. Submission deadline is October 15, 2023. If you have any questions, please do not hesitate to contact me. Best regards, Florian Keusch -- Florian Keusch Professor of Social Data Science and Methodology University of Mannheim School of Social Sciences Professorship for Social Data Science and Methodology | A5, 6 | 68131 Mannheim Germany Phone: +49 (0)621 181-3214 E-mail: f.keusch(a)uni-mannheim.de

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Stellenausschreibung TU Berlin
by Nele Dittmar 09 Oct '23

09 Oct '23

Sehr geehrte Damen und Herren, an der TU Berlin ist eine Stelle für eine/n wissenschaftliche/n Mitarbeiter/in ausgeschrieben (TV-L 13, 67%, 36 Monate). Es geht um die Mitarbeit im BMAS-geförderten Forschungsprojekt "Tarifpolitik in der Transformation. Analysen zu Digitalisierung und Nachhaltigkeit in der Arbeitswelt mit alternativen Datenquellen und Mixed Methods", Schwerpunkt quantitative Inhaltsanalyse von Tarifverträgen. Die Bewerbungsfrist endet am 3.11.2023. Die Ausschreibung finden Sie im Anhang. Für Nachfragen stehe ich (nele.dittmar(a)tu-berlin.de) gerne zur Verfügung. Mit freundlichen Grüßen Nele Dittmar

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International Conference Mixed Methods Research in Education
by Hense, Andrea 06 Oct '23

06 Oct '23

Liebe Kolleg:innen, die Anmeldefrist für die Tagung " International Conference Mixed Methods Research in Education", die vom 16. - 17. November 2023 an der Leibniz Universität Hannover (Königlicher Pferdestall) stattfinden wird, endet nächste Woche. Joint Conference of the German Sociological Association's (DGS) Section Education (Bildung & Erziehung), DGS Working Group Mixed Methods (Sections Methods of Empirical/Qualitative Social Research) and DGS Working Group Science & Higher Education Research Auf der Konferenz-Homepage finden Sie alle Informationen zur Tagung bzw. Anmeldung: https://www.ish.uni-hannover.de/de/institut/arbeitsbereiche/bildungssoziolo… Im Anhang können Sie ferner das aktuelle Programm sowie die Abstracts einsehen. Mit besten Grüßen Andrea Hense

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Ausschreibung 1, 0 Stelle Wiss. Mitarb. im Bereich Methoden/Gesundheitssoziologie/Familiensoziologie (Frist: 19.10.23)
by Oliver Arranz Becker 28 Sep '23

28 Sep '23

Liebe Kolleginnen und Kollegen, an meiner Professur ist zum 01.12.2023 eine Vollzeitstelle für eine/n wiss. Mitarbeiter/in für max. 3 Jahre ausgeschrieben (s. Anhang oder https://www.verwaltung.uni-halle.de/dezern3/Ausschr/23_4_7669_23_H.pdf). Erwünscht ist die wissenschaftliche Weiterqualifikation vor oder nach der Promotion. Es wird die Gelegenheit geboten, an den Forschungsaktivitäten der Professur im Bereich Gesundheits- und Familiensoziologie sowie Methoden aktiv mitzuwirken und eine eigene Forschungsagenda zu entwickeln. Gesucht werden insbesondere Kandidat:innen mit Interesse an Längsschnittanalysemethoden (insbesondere Paneldatenanalysen). Für die Weiterleitung an geeignete Personen danke ich Ihnen. -- Beste Grüße Oliver Arránz Becker _________________________________________ 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 _______________________________________________ Aktuelle Publikationen: * Arránz Becker, O., Hank, K. & Steinbach, A. (Eds.)(2023). Handbuch Familiensoziologie (2. Aufl.). Wiesbaden: Springer VS. * Lois, D. & Arránz Becker, O. (2023). Parental status homogeneity in social networks: The role of homophilous tie selection in Germany. Demographic Research, 48 (2), 19-42. DOI: 10.4054/DemRes.2023.48.2 * Stawarz, N., Arránz Becker, O., & Rüger, H. (2022). Work-related internal migration and changes in mental and physical health. A longitudinal study using German data. Health & Place, 75, 102806. DOI: 10.1016/j.healthplace.2022.102806 * Arránz Becker, O. & Hank, K. (2022). Adult children’s estrangement from parents in Germany. Journal of Marriage and Family, 84 (1): 347-360. DOI: 10.1111/jomf.12796

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WEB DATA OPP Workshop in Barcelona (March 18-19, 2024)
by Höhne, Jan Karem 27 Sep '23

27 Sep '23

***Apologies for cross-posting Dear colleagues, I would like to draw your attention to the upcoming WEB DATA OPP workshop in Barcelona from March 18 to 19, 2024. The workshop is part of the ERC Starting Grant Project WEB DATA OPP lead by Melanie Revilla. Please find the call for abstracts below. Best regards Jan Call for Abstracts: WEB DATA OPP Workshop March 18-19, 2024, Barcelona We are pleased to announce that the ERC-funded WEB DATA OPP project, which investigates how new measurement opportunities linked mainly to the growing presence of smartphones could complement or replace conventional survey data in order to get better or new insights (see https://www.upf.edu/web/webdataopp), is organising a workshop. Event Details * Date: March 18th and 19th, 2024 * Location: RECSM-Universitat Pompeu Fabra (UPF), Ciutadella Campus, Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain Workshop Focus The expansion of the Internet and the development of a range of new active and passive measurement tools, particularly on mobile devices, present exciting opportunities for survey researchers, such as visual or geolocation data capture. Using these new measurement opportunities could reduce respondent burden, improve data quality, and extend measurement into new domains, allowing to answer questions that could not be answered so far and to improve the decisions of key actors. However, while many people speak about these ideas, little research has implemented such possibilities so far. Besides, researchers interested in using such data face a range of key issues, including technical and ethical ones, and very little is known about how to best deal with all these challenges. Thus, the primary objective of this workshop is to engage in fruitful discussions surrounding these challenges presented by the integration of new data types within the context of web surveys. We are particularly interested in the following types of data 1. Visual Data: Exploring the incorporation of screenshots, photos, or videos as potential ways to provide responses in web surveys. 2. Voice Data: Examining the use of dictation or voice recording functions for survey responses. 3. Digital Traces Data: Leveraging digital traces data, especially those collected through meters, to complement or replace conventional survey questions. 4. In-the-Moment Surveys: Investigating the possibilities of conducting surveys triggered by passive data, particularly metered data or geolocation information, shortly after the detection of relevant events. Presentation Emphasis Participants should center their presentations on the problems encountered when designing surveys or experiments including these innovative data types, rather than focusing on research outcomes. In line with this, we welcome works in progress and presentations about studies that have not yet been fielded, as long as they offer insights into the diverse problems researchers face when using new data types. Active Participation To ensure a productive workshop, all participants should actively engage by providing constructive feedback on the work presented by others. Registration and Funding * Participation in the workshop is free of charge. * For participants who need financial assistance to cover travel costs, funding opportunities are available upon request. Submission Guidelines To participate in the workshop, please send the following information: * Submit your presentation title, abstract (maximum 300 words), and a brief presenter biography (maximum 200 words) by October 22 at webdataopp(a)upf.edu<mailto:webdataopp@upf.edu>. * In your email, specify whether you can cover your travel expenses or if you would require funding. In case of requiring fundings, please provide an estimate of how much you would need. Notification of Acceptance: We will notify you of the acceptance of your abstract within two weeks after the abstract submission deadline. We look forward to your contributions and stimulating discussions at the WEB DATA OPP workshop. For inquiries and abstract submissions, please contact the project's team at webdataopp(a)upf.edu<mailto:webdataopp@upf.edu>. 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 Juniorprofessor 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., Ziller, C., & Lenzner, T. (2023). Investigating respondents' willingness to participate in video-based web surveys. International Journal of Market Research. DOI: 10.1177/14707853231198788 - Gummer, T., Kunz, T., Rettig,. T., & Höhne, J.K. (2023). How to detect and influence looking up answers to political knowledge questions in web surveys? Public Opinion Quarterly. DOI: 10.1093/poq/nfad027 - Höhne, J.K., Krebs, D., & Kühnel, S.M. (2023). Investigating direction effects in rating scales with five and seven points in a probability-based online panel. Survey Research Methods, 17, 193-204. DOI: 10.18148/srm/2023.v17i2.8006 Visit us also on Twitter [X] <https://twitter.com/dzhw_info> & Linkedin [X] <https://www.linkedin.com/company/dzhw-gmbh> Registration court: Amtsgericht Hannover | HRB 210251 Chairman of the supervisory board: Ministerialdirigent Peter Greisler Scientific Director: Prof. Dr. Monika Jungbauer-Gans VAT No. DE291239300 | TAX ID No. 25/206/21502

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Two doctoral positions in a project on data quality at the University of Mannheim
by Florian Keusch 25 Sep '23

25 Sep '23

Dear colleagues, I am looking for up to two doctoral candidates to work on a project on the quality of social science data. The project is a collaboration between the University of Mannheim, LMU Munich, and GESIS - Leibniz Institute for the Social Sciences. https://www.sowi.uni-mannheim.de/media/Lehrstuehle/sowi/Keusch/Dateien/KODA… The position is initially offered for a period of 3 years and comes with the opportunity to pursue a PhD at the University of Mannheim. Please refer this position to potential candidates or apply yourself. Submission deadline is October 15, 2023. If you have any questions, please do not hesitate to contact me. Best regards, Florian Keusch -- Florian Keusch Professor of Social Data Science and Methodology University of Mannheim School of Social Sciences Professorship for Social Data Science and Methodology | A5, 6 | 68131 Mannheim Germany Phone: +49 (0)621 181-3214 E-mail: f.keusch(a)uni-mannheim.de

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Antw: Methoden Nachrichtensammlung, Band 224, Eintrag 3 (Verzögerungen im Beantworten von E-Mails / Delay in responses)
by Dimitri Prandner 21 Sep '23

21 Sep '23

Sehr geehrte Kolleginnen und Kollegen, ich bin aktuell aufgrund von Konferenzen und Workshops nicht erreichbar! Anfragen werden ab dem 27. September wieder beantwortet. In dringenden Fällen wenden Sie sich bitte an: sabrina.kammerer(a)jku.at Dear colleagues, I am out of office until September 27 and will not be able to answer your emails. I will get back to you afterwards. If there are any urgent matters get in touch with: sabrina.kammerer(a)jku.at Dimitri Prandner >>> <methoden-request(a)mailman.uni-konstanz.de> 09/21/23 12:00 >>> Um E-Mails an die Liste Methoden zu schicken, nutzen Sie bitte die Adresse methoden(a)mailman.uni-konstanz.de Um sich via Internet von der Liste auszutragen oder in die Liste einzutragen: https://mailman.uni-konstanz.de/mailman/listinfo/methoden Oder schicken Sie eine E-Mail mit dem Wort "help" in der Betreffzeile oder im Text an methoden-request(a)mailman.uni-konstanz.de Sie können den Verwalter dieser Liste unter der Adresse methoden-owner(a)mailman.uni-konstanz.de erreichen. Wenn Sie antworten editieren bitte Sie die Betreffzeile auf einen sinnvollen Inhalt der spezifischer ist als "Re: Contents of Methoden digest..." Meldungen des Tages: 1. CARME Konferenz 27.-29.09. - freier Online-Stream (Alice Barth) ---------------------------------------------------------------------- Message: 1 Date: Wed, 20 Sep 2023 13:21:26 +0200 From: Alice Barth <albarth(a)uni-bonn.de> To: "methoden(a)mailman.uni-konstanz.de" <methoden(a)mailman.uni-konstanz.de> Subject: [Methoden] CARME Konferenz 27.-29.09. - freier Online-Stream Message-ID: <399c22f6-46c5-a505-2c0a-c2be3349aacc(a)uni-bonn.de> Content-Type: text/plain; charset="utf-8"; Format="flowed" Liebe Kolleg:innen, kommende Woche findet in Bonn die Konferenz CARME (Correspondence Analysis and Related Methods) statt. An die 100 Vorträge zu methodischen Aspekten und Anwendungen von Korrespondenzanalyse und anderen Analysemethoden für kategoriale Daten in verschiedensten wissenschaftlichen Disziplinen können auch online via Zoom Webinar verfolgt werden. Die Online-Teilnahme ist kostenfrei und erfordert keine Anmeldung. Die Konferenzsprache ist englisch. Hier <https://www.politik-soziologie.uni-bonn.de/de/veranstaltungen-und-nachricht…> geht es zur Programmübersicht inkl. Zoom-Links, weitere Informationen inkl. detailliertem Programm finden sich auf unserer Homepage <https://www.politik-soziologie.uni-bonn.de/de/carme23> (https://www.politik-soziologie.uni-bonn.de/de/carme23) Die Online-Links dürfen gerne an alle interessierten Personen weitergegeben werden. Auch eine spontane Anmeldung zu Konferenzteilnahme in Präsenz ist noch möglich! Beste Grüße Alice Barth und Jörg Blasius -- Dr. Alice Barth Rheinische Friedrich-Wilhelms-Universität Bonn Institut für Politische Wissenschaft und Soziologie Abteilung Soziologie Lennéstr. 27 53113 Bonn Telefon: 0228 / 73 6728 -------------- nächster Teil -------------- Ein Dateianhang mit HTML-Daten wurde abgetrennt... URL: <http://mailman.uni-konstanz.de/pipermail/methoden/attachments/20230920/3972…> Ende Methoden Nachrichtensammlung, Band 224, Eintrag 3 ******************************************************

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CARME Konferenz 27.-29.09. - freier Online-Stream
by Alice Barth 20 Sep '23

20 Sep '23

Liebe Kolleg:innen, kommende Woche findet in Bonn die Konferenz CARME (Correspondence Analysis and Related Methods) statt. An die 100 Vorträge zu methodischen Aspekten und Anwendungen von Korrespondenzanalyse und anderen Analysemethoden für kategoriale Daten in verschiedensten wissenschaftlichen Disziplinen können auch online via Zoom Webinar verfolgt werden. Die Online-Teilnahme ist kostenfrei und erfordert keine Anmeldung. Die Konferenzsprache ist englisch. Hier <https://www.politik-soziologie.uni-bonn.de/de/veranstaltungen-und-nachricht…> geht es zur Programmübersicht inkl. Zoom-Links, weitere Informationen inkl. detailliertem Programm finden sich auf unserer Homepage <https://www.politik-soziologie.uni-bonn.de/de/carme23> (https://www.politik-soziologie.uni-bonn.de/de/carme23) Die Online-Links dürfen gerne an alle interessierten Personen weitergegeben werden. Auch eine spontane Anmeldung zu Konferenzteilnahme in Präsenz ist noch möglich! Beste Grüße Alice Barth und Jörg Blasius -- Dr. Alice Barth Rheinische Friedrich-Wilhelms-Universität Bonn Institut für Politische Wissenschaft und Soziologie Abteilung Soziologie Lennéstr. 27 53113 Bonn Telefon: 0228 / 73 6728

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Methoden