Methoden November 2024

methoden@mailman.uni-konstanz.de

19 participants
22 discussions

Stellenausschreibung am RMZ/HU Berlin im Projekt Transfersurvey (100%, E13, 4 Jahre befristet)
by Jens Ambrasat 19 Nov '24

19 Nov '24

Liebe Kolleg:innen, am Robert K. Merton Zentrum für Wissenschaftsforschung (Humboldt-Universität zu Berlin) ist eine 4-Jahres-Stelle im Projekt Transfersurvey ausgeschrieben. https://haushalt-und-personal.hu-berlin.de/de/personal/stellenausschreibung… In dem Projekt wird ein Survey entwickelt, der als Teil einer umfassenden Monitoringstrategie Informationen zum Wissenstransfer zwischen Wissenschaft und Gesellschaft liefert. Der Transfersurvey wird am RMZ in Zusammenarbeit mit dem Team des Berlin Science Survey entwickelt. Die Stelle ist auch für eine Promotion geeignet. Wir freuen uns über aussagekräftige Bewerbungen. -- <http://www.rmz.hu-berlin.de%0d>_<http://www.rmz.hu-berlin.de%0d>_ *Dr. Jens Ambrasat* Berlin Science Survey Projektleiter www.berlinsciencesurvey.de Tel: 030-2093-65882 *Robert K. Merton Zentrum für Wissenschaftsforschung Humboldt-Universität zu Berlin* Philosophische Fakultät, Institut für Bibliotheks- und Informationswissenschaft Sitz: Schönhauser Allee 10/11, 10119 Berlin, Aufgang B, 4.OG Postanschrift: Unter den Linden 6, 10099 Berlin www.rmz.hu-berlin.de BSS_Logo

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Stellenausschreibungen: 2 Doktorand:innen im FReDA Projekt (E13, 75%, 4 Jahre befristet), bitte Bewerbungsfrist beachten
by Gummer, Tobias 19 Nov '24

19 Nov '24

Liebe Kolleg:innen, wir suchen bei GESIS für die "Family Research and Demographic Analysis" (FReDA)<https://www.freda-panel.de/FReDA/DE/Startseite.html> Studie noch zwei Doktorand:innen. FReDA ist ein Kooperationsprojekt zwischen dem Bundesinstitut für Bevölkerungsforschung (BiB) und GESIS. DRS-35: Doktorand:in (E13, 75%, 4 Jahre befristet, Bewerbungsfrist 24.11.2024) https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/42025/Re… DRS-37: Doktorand:in Survey Methodology (E13, 75%, 4 Jahre befristet, Bewerbungsfrist 04.12.2024) https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/44680/Re… Bitte beachten Sie die sehr nahen Bewerbungsfristen. Über eine Weiterleitung an geeignete Kandidat:innen wäre ich Ihnen sehr dankbar. Viele Grüße Tobias Gummer --- Prof. Dr. Tobias Gummer GESIS - Leibniz Institute for the Social Sciences P.O.Box 122155 68072 Mannheim Phone: +49(621)-1246-435 Mail: tobias.gummer(a)gesis.org<mailto:tobias.gummer@gesis.org>

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CfP: ESRA Session on measuring working time
by Jan P. Heisig 18 Nov '24

18 Nov '24

Dear colleagues, on behalf of my colleague Lena Hipp, I would like to share the following call for a session on measuring working hours at next year's ESRA conference. Best wishes, Jan Dear colleagues, we are excited to invite submissions for our upcoming session, _“Number of hours usually worked? Methodological challenges in accurately measuring working time” <https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=96>_, at the 11th conference of the European Survey Research Association (ESRA) <https://www.europeansurveyresearch.org/conference/utrecht-2025/call-for-abs…>, which takes place at Utrecht University, The Netherlands, from *July 14 to July 18, 2025*. ** The session is organized by Carolin Deuflhard (Humboldt-Universität zu Berlin) and Lena Hipp (University of Potsdam/ WZB Berlin Social Sciences Center). Please submit your abstract (max. 300 words) via the ESRA conference management system <https://www.europeansurveyresearch.org/conf2025/> by *December 20, 2024*. *Session Details* In recent years, working time has become increasingly polarized in terms of who works how much, when, and where. This shift is driven by structural, institutional, and demographic changes, as well as exogenous shocks—most recently the COVID-19 pandemic. Against this backdrop, the session aims to stimulate a discussion on the methodological challenges and promises of old and new measurements for working hours. How accurate are standardized survey questions on “hours usually worked” when employees work remotely, flexible hours, have zero-hour or multiple contracts, or are paid based on output rather than hours? For which groups of workers do standard survey questions produce more and for which groups less reliable results? How can these challenges be overcome? Can digital trace data and alternative survey questions help to accurately measure the time people spend on paid (and unpaid) work? What potential do survey experiments have for informing measurement strategies? Session presentations can cover a broad range of issues in the field of measuring working time. Priority will be given to contributions that a) compare the advantages and shortcomings of different measurement strategies, b) focus on innovative approaches for measuring working time, c) address the peculiarities and challenges of measuring the working time of (specific groups of) nonstandard employees, and d) discuss the potential and problems of different measurement strategies for uncovering inequalities in working time based on gender, class, and race. If you have any questions about the session, please do not hesitate to reach out. We are looking forward to your submissions. Best regards, Lena Hipp and Carolin Deuflhard

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Call for Abstracts: ESRA 2025 Session on Exploring Agent-based Interviewing in Web Surveys
by Höhne, Jan Karem 18 Nov '24

18 Nov '24

***Apologies for cross-posting Dear colleagues, We are excited to invite submissions for our upcoming session, "Exploring Agent-based Interviewing in Web Surveys<https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=26>", at the 11th conference of the European Survey Research Association (ESRA), which takes place at Utrecht University, The Netherlands, from July 14 to July 18, 2025. The session is organized by Jan Karem Höhne (DZHW, Leibniz University Hannover), Marco Angrisani (University of Southern California), Frederick Conrad (University of Michigan), Arie Kapteyn (University of Southern California), and Florian Keusch (University of Mannheim). Please submit your abstract (max. 300 words) via the ESRA conference management system<https://www.europeansurveyresearch.org/conf2025/> by December 20, 2024. Session Description: Web surveys continue to replace other survey modes, especially in-person interviews. Even large-scale surveys, such as the European Social Survey and the National Longitudinal Study of Adolescent to Adult Health, now routinely collect data via web surveys. However, the absence of interviewers complicates the provision of assistance to respondents and the creation of trust and motivation. This absence raises concern about answer quality. The advent of Generative Artificial Intelligence makes it possible to build interviewing agents that are visually realistic and conversationally responsive, deriving the latter ability from Large Language Models. Embedding such agents in web surveys promises to restore some of the quality-enhancing contributions of human interviews. Intelligent agents can clarify questions and provide feedback beyond what is typical in text-based web surveys and their mere presence can reduce speeding and non-differentiation but may introduce social desirability. Because respondents can choose an agent this may foster rapport helping to overcome social desirability. These innovations do not only give web surveys a human touch but make them more inclusive. Individuals with low literacy and education or who are not skilled speakers and/or readers of the survey language (e.g., immigrants and refugees) may be more likely to participate if they see (or hear) an agent that looks (or sounds) like them. Similarly, those with sensory challenges, especially the elderly, may favor verbal communication with a realistic looking, conversational agent, over text-based communication. In this session, we invite studies on all kinds of interviewing agents, not just those we have described here. This can be in various settings (lab or field) and with different study designs (cross-sectional or longitudinal). Contributions on legal and ethical considerations when using agent-based interviewing are also welcome. This similarly applies to studies that are work in progress. If you have any questions about the session, please do not hesitate to reach out. We are looking forward to your submissions. Best regards Jan Karem Höhne German Centre for Higher Education Research and Science Studies (DZHW) Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://www.dzhw.eu/> | Germany Prof. Dr. Jan Karem Höhne Head of CS3 Lab for Computational Survey and Social Science Leibniz University Hannover German Centre for Higher Education Research and Science Studies (DZHW) Research Area 4: Research Infrastructure and Methods Tel. +49 511 450670-458 Fax +49 511 450670-960 www.jkhoehne.eu<http://www.jkhoehne.eu/> Upcoming and most recent publications: - Höhne, J.K., Lenzner, T., & Claassen, J. (in press). Automatic speech-to-text transcription: Evidence from a smartphone survey with voice answers. International Journal of Social Research Methodology. - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (2024). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - Salvatore, C., & Höhne, J.K. (in press). Explaining item-nonresponse in open questions with requests for voice responses. Conference Proceeding of the Italian Statistical Society. - Höhne, J.K. & Claassen, J. (2024). Examining final comment questions with requests for written and oral answers. International Journal of Market Research. DOI: 10.1177/14707853241229329 - Höhne, J.K., Gavras, K., & Claassen, J. (2024). Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review. DOI: 10.1177/08944393231160961 - Lenzner, T., Höhne, J.K., & Gavras, K. (2024). Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smae031

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Stellenausschreibung Surveyforschung (IHS Wien)
by Vlasta Zucha 14 Nov '24

14 Nov '24

Liebe Kolleginnen und Kollegen, das Institut für Höhere Studien (IHS) in Wien sucht für die neue Forschungseinheit "Surveyforschung und Methoden" eine:n wissenschaftliche:n Mitarbeiter:in / staff scientist<https://www.ihs.ac.at/fileadmin/public/2016_Files/Documents/2024/241110_Ste…> Die Bewerbungsfrist läuft bis 6.12.2024. Bitte leiten Sie die Stellenausschreibung gerne an Interessierte weiter. Vielen Dank, mit besten Grüßen Dr. Vlasta Zucha Institut für Höhere Studien (IHS) Josefstädter Straße 39, 1080 Wien Tel: +43 1 59991 - 269 zucha(a)ihs.ac.at<mailto:zucha@ihs.ac.at> [A red circle with black background Description automatically generated] Jetzt für den IHS-Newsletter registrieren!<https://29fdb0b8.sibforms.com/serve/MUIEAA0-qxt9jPE5doRT5kLJ4Ivzhaw3p3siM-N…>

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Workshop Computational Social Science: AI and Society – Exploring Inequality in the Digital Age (May 2025, University of Mannheim)
by Ruben Bach 12 Nov '24

12 Nov '24

Dear colleagues, the Mannheim Centre for European Social Research (MZES) and the Mannheim Centre for Data Science (MCDS) will host a workshop on Computational Social Science in May 2025. Please see below for details. Thanks, Ruben Bach ____________________________ Computational Social Scientist Mannheim Centre for European Social Research University of Mannheim Workshop Computational Social Science: AI and Society – Exploring Inequality in the Digital Age When 15.05.2025 & 16.05.2025 Note: To allow same-day travel for most participants on both days, the workshop will start around lunchtime on May 15 and end in the early afternoon on May 16. Where University of Mannheim What Dear Researchers and Practitioners in Computational Social Science (CSS), We invite you to our upcoming workshop on “Computational Social Science: AI and Society – Exploring Inequality in the Digital Age” at the University of Mannheim, jointly organized by the Mannheim Centre for European Social Research (MZES)<https://www.mzes.uni-mannheim.de/d7/en> and the Mannheim Centre for Data Science (MCDS)<https://www.uni-mannheim.de/en/datascience/>. This two-day, in-person workshop is part of an annual event series<https://computational-social-science.org/> that connects CSS scholars from the German-speaking area (Austria, Germany, Switzerland). As an interdisciplinary event, it addresses scholars from, e.g., sociology, political science, computer science, communication, economics, digital humanities, and data science. We provide a platform for networking, professional development, and exchanging ideas in CSS. This year’s workshop will focus on CSS and AI: In recent years, the field has been marked by the rise of Artificial Intelligence (AI). For example, software backed by powerful machine learning algorithms is now used in public policy decision-making; generative AI and large language models are ubiquitous and promise to benefit all. However, there are also concerns regarding the increasing spread of AI: for example, algorithms may replicate and reinforce societal and statistical biases, those who have been disadvantaged in the past may find themselves even more left behind by new technological developments, and generative AI may be used, e.g., to tamper with election campaigns. This workshop will address questions focusing on the methodological and real-world implications of AI, such as… * Individual and societal use of new technology & AI (e.g., using AI systems for decision-making in societal areas such as health or justice, public perceptions of AI, etc.) * Questions of inequality related to individual and societal use of new technology & AI (e.g., ethnic, racial, or gender bias in AI-based decision-making, etc.) * Questions of inequality related to scientific use of AI (e.g., access to AI and technology, resources across countries, bias in models, etc.) * Scientific use of new technology & AI (e.g., large language models for text analysis, agent-based models for synthetic data, digital approaches to historical semantics, etc.) What to expect * Invited Talks: Hear from leading scholars who will share insights on conceptual challenges, methodologies, and empirical applications in CSS. * Panel Discussion: Engage in a discussion with experts and peers on current and future trends related to AI and CSS. * Early Career Poster Session: Are you an early career CSS researcher? Present your research in a poster session! * Networking Opportunities: Connect with fellow researchers and professionals to build a robust CSS community in the DACH area. Who Should Attend? This workshop is for academics, researchers, and professionals involved in CSS or interested in applying computational methods in social science research. Whether you are an experienced scholar or a young researcher in this field, your contributions and participation will be highly valued. Note: As the workshop features invited talks and sessions aimed at academic exchange, you do not have to submit your research to participate (unless you want to present in the early career poster session). We look forward to welcoming you to an engaging and inspiring event! Workshop Registration The workshop welcomes researchers from all career levels as non-presenting participants to partake in discussing directions of CSS research and networking with other CSS scholars. Slots will be allocated on a first-come, first-served basis. We will send out a separate announcement once registration for the workshop opens. Call for posters Additional slots are available for early career researchers who wish to present their CSS projects in the poster session. Posters may deal with any topic relevant to CSS. Please submit a short abstract of up to 300 words about the poster you would like to present to cssworkshop2025(a)computational-social-science.org. The deadline for abstract submission is February 16, 2025. We will try to accommodate all poster submissions suitable to the conference. Depending on the number of submissions, we may need to choose a subset of posters based on the fit of the posters to the topic of CSS and the originality of the work. Acceptance notifications will be sent out in March 2025. A poster award will be given out during the workshop (worth 250 EUR). The award is kindly sponsored by the German Association for Online Research, DGOF e.V. All accepted submissions will be eligible for these awards. We especially welcome posters on: * Best practice applications of computational methods/big data to (complex) social science research questions * Submissions that combine established theories from the field of social science with digital data or/and computational social science methods * Results and research designs from CSS research projects * Theoretical and conceptual challenges of CSS research * CSS methods and innovations; mixed methods * Data linkage applications and methods for enriching large/online data sources Venue The workshop will take place at the University of Mannheim. Organizing Committee Ruben Bach, University of Mannheim Andreas Blätte, University of Duisburg-Essen Nikolitsa Grigoropoulou, University of Bremen Valerie Hase, LMU Munich Stefan Knauff, Bielefeld University Simon Kühne, Bielefeld University Dorian Tsolak, Bielefeld University Check out the website<https://computational-social-science.org/> for more information. _________________________________________ https://computational-social-science.org/

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Reminder: CS3 Meeting for Computational Survey and Social Science
by Höhne, Jan Karem 12 Nov '24

12 Nov '24

***Apologies for cross-posting Dear colleagues, This is a gentle reminder for the next CS3 meeting with Andreas Jungherr (University of Bamberg) talking about Deceptive uses of Artificial Intelligence in elections strengthen support for AI ban<https://jkhoehne.eu/wp-content/uploads/2024/10/CS3_meeting_AJ.pdf> on November 14, 2024, from 4:15 to 5:00 PM (CET). Please sign up for the meeting by November 13, 2024: https://ww3.unipark.de/uc/cs3_meeting_registration/ See you at the CS3 Meeting! Best regards Jan German Centre for Higher Education Research and Science Studies (DZHW) Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://www.dzhw.eu/> | Germany Prof. Dr. Jan Karem Höhne Head of CS3 Lab for Computational Survey and Social Science Leibniz University Hannover German Centre for Higher Education Research and Science Studies (DZHW) Research Area 4: Research Infrastructure and Methods Tel. +49 511 450670-458 Fax +49 511 450670-960 www.jkhoehne.eu<http://www.jkhoehne.eu/> Upcoming and most recent publications: - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (in press). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - 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. - Salvatore, C., & Höhne, J.K. (in press). Explaining item-nonresponse in open questions with requests for voice responses. Conference Proceeding of the Italian Statistical Society. - Höhne, J.K. & Claassen, J. (2024). Examining final comment questions with requests for written and oral answers. International Journal of Market Research. DOI: 10.1177/14707853241229329 - Höhne, J.K., Gavras, K., & Claassen, J. (2024). Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review. DOI: 10.1177/08944393231160961 - Lenzner, T., Höhne, J.K., & Gavras, K. (2024). Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smae031

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GESIS Spring Seminar 2025: Registration is open!
by Wenz, Sebastian 08 Nov '24

08 Nov '24

Liebe Kolleg*innen in der DGS-Methodensektion, wir freuen uns, Euch und Ihnen hiermit das Programm des GESIS Spring Seminar 2025 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 excited to announce the program of the GESIS Spring Seminar 2025! The Spring Seminar offers high-quality training in state-of-the-art techniques in quantitative data analysis taught by leading experts in the field. It is designed for advanced graduate or PhD students, post-docs, and senior researchers. In 2025, all courses will deal with Experimental Designs in the Social and Behavioral Sciences. Extensive hands-on exercises and tutorials complement lectures in each course. The Spring Seminar will take place onsite at GESIS Cologne, Germany, from 17 March to 04 April 2025. For registration and detailed course descriptions, please visit https://tinyurl.com/GESIS-Spring-Seminar-2025. GESIS Spring Seminar 2025 Program: Week 1 (17- 21 March) Field Experiments<https://tinyurl.com/FieldExperiments-Spring25> Johanna Gereke, Nicole Schwitter Week 2 (24 - 28 March) Laboratory Experiments<https://tinyurl.com/LaboratoryExperiments-Spring25> Florian Heine, Eve Ernst (TA) Week 3 (31 March - 04 April) Multifactorial Survey Experiments<https://tinyurl.com/MultifacSurvey-Spring25> Ulf Liebe, Jürgen Meyerhoff 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, you can obtain three ECTS credit points<https://www.gesis.org/en/gesis-training/what-we-offer/spring-seminar-cuttin…> per one-week course. For detailed information on the Spring Seminar 2025, please visit www.gesis.org/springseminar<http://www.gesis.org/springseminar>. More Training For those seeking to expand their skills and proceed to quasi-experimental designs, we offer two short online workshops: 05 - 06 Dec & 12 - 13 Dec 2024: Introduction to Methods of Causal Inference <https://bit.ly/Intro_CausalInference> 18 - 19 Feb 2025: Propensity Score Matching: Computation and Balance Estimation for two and more groups in R<https://tinyurl.com/02-25-PSM-comp-balance-R> For the full list of workshops on related and other social science research methods, please visit www.gesis.org/workshops<http://www.gesis.org/workshops>. We would appreciate you forwarding 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> X: https://twitter.com/gesistraining facebook: https://www.facebook.com/GESISTraining -- Dr. Sebastian E. Wenz Senior Researcher GESIS - Leibniz Institute for the Social Sciences Phone: +49 221-47694-159 www.gesis.org/training<http://www.gesis.org/training>

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CS3 Meeting for Computational Survey and Social Science
by Höhne, Jan Karem 08 Nov '24

08 Nov '24

***Apologies for cross-posting Dear colleagues, I would like to invite you to join the upcoming CS3 Meeting for Computational Survey and Social Science broadcasted by the German Centre for Higher Education Research and Science Studies (DZHW). The CS3 Meeting concerns research topics on innovative data collection and analysis strategies in the behavioral and social sciences. It takes place online during the summer (April-July) and winter terms (October-January) including a talk of about 30 minutes and a Q&A of about 15 minutes. Andreas Jungherr (University of Bamberg) talks about Deceptive uses of Artificial Intelligence in elections strengthen support for AI ban<https://jkhoehne.eu/wp-content/uploads/2024/10/CS3_meeting_AJ.pdf> on November 14, 2024, from 4:15 to 5:00 PM (CET). Please sign up for the meeting by November 13, 2024: https://ww3.unipark.de/uc/cs3_meeting_registration/ The next talk is by Laura Boeschoten (Utrecht University) entitled "Digital trace data collection through data donation" on December 12, 2024, from 3:15 to 4:00 PM (CET). See you at the CS3 Meeting! Best regards Jan German Centre for Higher Education Research and Science Studies (DZHW) Lange Laube 12 | 30159 Hannover | www.dzhw.eu<https://www.dzhw.eu/> | Germany Prof. Dr. Jan Karem Höhne Head of CS3 Lab for Computational Survey and Social Science Leibniz University Hannover German Centre for Higher Education Research and Science Studies (DZHW) Research Area 4: Research Infrastructure and Methods Tel. +49 511 450670-458 Fax +49 511 450670-960 www.jkhoehne.eu<http://www.jkhoehne.eu/> Upcoming and most recent publications: - Höhne, J.K., Claassen, J., Shahania, S., & Broneske, D. (in press). Bots in web survey interviews: A showcase. International Journal of Market Research. DOI: 10.1177/14707853241297009 - 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. - Salvatore, C., & Höhne, J.K. (in press). Explaining item-nonresponse in open questions with requests for voice responses. Conference Proceeding of the Italian Statistical Society. - Höhne, J.K. & Claassen, J. (2024). Examining final comment questions with requests for written and oral answers. International Journal of Market Research. DOI: 10.1177/14707853241229329 - Höhne, J.K., Gavras, K., & Claassen, J. (2024). Typing or speaking? Comparing text and voice answers to open questions on sensitive topics in smartphone surveys. Social Science Computer Review. DOI: 10.1177/08944393231160961 - Lenzner, T., Höhne, J.K., & Gavras, K. (2024). Innovating web probing: Comparing written and oral answers to open-ended probing questions in a smartphone survey. Journal of Survey Statistics and Methodology. DOI: 10.1093/jssam/smae031

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MAXQDA Lectures + aktuelle Webinare
by research.network＠maxqda.de 07 Nov '24

07 Nov '24

Liebe Liste, ich möchte Sie herzlich zur ersten MAXQDA Lecture einladen. Mit dem neuen Lecture Format bieten wir Ihnen die Möglichkeit, Methoden und Forschungskonzepte besser kennenzulernen und in MAXQDA umzusetzen. In der ersten Lecture führt Prof. Johnny Saldana<https://search.asu.edu/profile/15790> in das Kodieren und die Nutzung von Memos, als zentrale Techniken der qualitativen Analyse, ein. Termin: * 03.12.2024 * 17 Uhr * Link zur Anmeldung<https://zoom.us/webinar/register/WN_g_MG2eQBRrSw3lGgbOxd8w> Ich würde Sie außerdem gerne auf unser aktuelles Webinar-Angebot aufmerksam machen: * 14.11. Visualisieren von Daten und Ergebnissen mit MAXQDA (Advanced)<https://zoom.us/webinar/register/WN_49Uh9LzLS5SNLzrOdtUFhw?_x_zm_rtaid=Rb_1…> * 14.11. Research Session: In Search of the Meaning of European Identity: A Mixed-Methods Study<https://zoom.us/webinar/register/WN_CvB4MZZ4QU68Xc5NDvvZBw#/registration> * 15.11. MAXQDA 24 - Online Starter Workshop November (kostenpflichtig)<https://www.maxqda.com/de/workshop/maxqda-24-online-starter-workshop-novemb…> * 19.11. Arbeiten mit MAXQDAs AI-Assist (Advanced)<https://zoom.us/webinar/register/WN_3kHEe7w-Qf2iHNGKhmmISA?_x_zm_rtaid=HkKz…> * 19.11. Einführung in MAXQDA (Starter)<https://zoom.us/webinar/register/WN_LxnbLsLZQeSnqQCXVbRAMw?_x_zm_rtaid=HkKz…> * 28.11. Teamwork & Intercoder-Reliabilität mit MAXQDA 24 (Advanced)<https://zoom.us/webinar/register/WN_voPNSlNrRUKuahf7uRputA?_x_zm_rtaid=HkKz…> * 03.12. Einführung in MAXQDA<https://zoom.us/webinar/register/WN_CHIxr8GvRaKtrL_qNIlyqg?_x_zm_rtaid=HkKz…> * 12.12. Research Session: MAXQDA's AI in Action: Big Data Analysis with YouTube Data<https://zoom.us/webinar/register/WN_idm8qmOGTnGRDT7MLBZH9w#/registration> * 13.12. MAXQDA 24 - Online Starter Workshop Dezember (kostenpflichtig)<https://www.maxqda.com/de/workshop/maxqda-24-online-starter-workshop-dezemb…> Wir freuen uns auf Sie! Herzliche Grüße aus Berlin, Leopold Meinert -- Leopold Meinert - Community Manager VERBI Software - Consult - Sozialforschung GmbH Invalidenstr. 74 10557 Berlin, Germany Tel: +49 (0)30 206 22 59 00 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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Methoden November 2024