Methoden

methoden@mailman.uni-konstanz.de

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1859 discussions

Antw: Methoden Nachrichtensammlung, Band 238, Eintrag 14 (Verzögerungen im Beantworten von E-Mails / Delay in responses)
by Dimitri Prandner 26 Nov '24

26 Nov '24

Dear colleagues, thank you for your message. I am out of office at the moment, as I do fieldwork for a study in Italy. I will be back at the office at Monday, Dec. 2nd. I will answer your e‐mail as soon as possible. Dimitri Prandner >>> <methoden-request(a)mailman.uni-konstanz.de> 11/26/24 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. CfP ESRA 2025: Surveying people living in nursing homes and other institutions (Bünning) ---------------------------------------------------------------------- Message: 1 Date: Mon, 25 Nov 2024 14:35:12 +0000 From: Bünning, Mareike <Mareike.Buenning(a)dza.de> To: "methoden(a)mailman.uni-konstanz.de" <methoden(a)mailman.uni-konstanz.de> Subject: [Methoden] CfP ESRA 2025: Surveying people living in nursing homes and other institutions Message-ID: <7a07df67542c4a5885448808882d0678(a)dza.de> Content-Type: text/plain; charset="iso-8859-1" Dear Colleagues, we are excited to invite submissions for our upcoming session Surveying people in nursing homes and other institutions: Challenges and Solutions<https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=113>, 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 Michael Bergmann (SHARE), Mareike Bünning (DZA), Katrin Drasch (FAU Erlangen-Nürnberg) and Michael Weinhardt (DZA). Please submit your abstract (max. 300 words) via the ESRA conference management system<https://www.europeansurveyresearch.org/conf2025/> by December 20, 2024. Session Details A substantial part of every society's population resides in nursing homes, long-term care facilities or residential homes for disabled adults. However, many surveys restrict their samples to people living in private households, excluding institutionalised populations. This leads to biased estimates in population-level research. Including these populations is crucial for providing a more comprehensive understanding of social outcomes across different living conditions and informing policies that address the needs of vulnerable groups. Yet, even if surveys attempt to collect data from people living in institutions, this comes with particular problems and challenges. Finding a suitable sampling frame is often challenging and may require a two-step procedure, where institutions are sampled first and individuals within institutions second. In panel studies, tracking the transition into institutionalised living is particularly difficult. Moreover, gaining the cooperation of institutions, which are not the primary research target but play a key role as 'gatekeepers', is essential. Conducting the interview itself may pose further challenges, including finding a suitable location in the institution and scheduling interviews around tight routines. Finally, depending on the institution, the health status of residents may limit their ability to participate in the survey, and alternative methods like assisted or proxy interviews may be necessary to maintain data quality and representativeness. This session invites contributions that address these challenges and propose solutions for surveying institutionalised populations. Topics may includ* Sampling institutions, including questions of suitable sampling frames or other approaches * Sampling procedures for individuals residing within institutions * Monitoring transitions to institutional living in panel studies * Engaging institutional managers and stakeholders to support research efforts * Practical challenges in conducting interviews within institutions and nursing homes * Ethical issues in surveying the institutionalised population, such as consent and vulnerability * Enhancing data quality in surveys on institutionalised populations We are looking forward to your submissions. Best regards Mareike Bünning --- Dr. Mareike Bünning Wissenschaftliche Mitarbeiterin Deutscher Alterssurvey/Senior Researcher German Ageing Survey Deutsches Zentrum für Altersfragen/German Centre of Gerontology Manfred-von-Richthofen-Str. 2 12101 Berlin, Germany Tel: +4930 - 260740-93 E-Mail: mareike.buenning(a)dza.de<mailto:mareike.buenning@dza.de> Internet: www.dza.de <http://www.dza.de/> -------------- nächster Teil -------------- Ein Dateianhang mit HTML-Daten wurde abgetrennt... URL: <http://mailman.uni-konstanz.de/pipermail/methoden/attachments/20241125/a47f…> Ende Methoden Nachrichtensammlung, Band 238, Eintrag 14 *******************************************************

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CfP ESRA 2025: Surveying people living in nursing homes and other institutions
by Bünning, Mareike 25 Nov '24

25 Nov '24

Dear Colleagues, we are excited to invite submissions for our upcoming session Surveying people in nursing homes and other institutions: Challenges and Solutions<https://www.europeansurveyresearch.org/conf2025/sessions.php?sess=113>, 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 Michael Bergmann (SHARE), Mareike Bünning (DZA), Katrin Drasch (FAU Erlangen-Nürnberg) and Michael Weinhardt (DZA). Please submit your abstract (max. 300 words) via the ESRA conference management system<https://www.europeansurveyresearch.org/conf2025/> by December 20, 2024. Session Details A substantial part of every society's population resides in nursing homes, long-term care facilities or residential homes for disabled adults. However, many surveys restrict their samples to people living in private households, excluding institutionalised populations. This leads to biased estimates in population-level research. Including these populations is crucial for providing a more comprehensive understanding of social outcomes across different living conditions and informing policies that address the needs of vulnerable groups. Yet, even if surveys attempt to collect data from people living in institutions, this comes with particular problems and challenges. Finding a suitable sampling frame is often challenging and may require a two-step procedure, where institutions are sampled first and individuals within institutions second. In panel studies, tracking the transition into institutionalised living is particularly difficult. Moreover, gaining the cooperation of institutions, which are not the primary research target but play a key role as 'gatekeepers', is essential. Conducting the interview itself may pose further challenges, including finding a suitable location in the institution and scheduling interviews around tight routines. Finally, depending on the institution, the health status of residents may limit their ability to participate in the survey, and alternative methods like assisted or proxy interviews may be necessary to maintain data quality and representativeness. This session invites contributions that address these challenges and propose solutions for surveying institutionalised populations. Topics may include, but are not limited to: * Sampling institutions, including questions of suitable sampling frames or other approaches * Sampling procedures for individuals residing within institutions * Monitoring transitions to institutional living in panel studies * Engaging institutional managers and stakeholders to support research efforts * Practical challenges in conducting interviews within institutions and nursing homes * Ethical issues in surveying the institutionalised population, such as consent and vulnerability * Enhancing data quality in surveys on institutionalised populations We are looking forward to your submissions. Best regards Mareike Bünning --- Dr. Mareike Bünning Wissenschaftliche Mitarbeiterin Deutscher Alterssurvey/Senior Researcher German Ageing Survey Deutsches Zentrum für Altersfragen/German Centre of Gerontology Manfred-von-Richthofen-Str. 2 12101 Berlin, Germany Tel: +4930 - 260740-93 E-Mail: mareike.buenning(a)dza.de<mailto:mareike.buenning@dza.de> Internet: www.dza.de <http://www.dza.de/>

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Call for Papers 6th MASS Workshop (Mobile Apps and Sensors in Surveys)
by Florian Keusch 22 Nov '24

22 Nov '24

/Call for Papers/ 6th MASS Workshop Mobile Apps and Sensors in Surveys _https://massworkshop.org <https://massworkshop.org>_ Date 4-5 June 2025 Location London School of Economics (LSE), London, UK Organizing committee Local organizers: Patrick Sturgis (London School of Economics), Oriol Bosch (Oxford University) Scientific committee: Bella Struminskaya (Utrecht University), Peter Lugtig (Utrecht University), Florian Keusch (University of Mannheim), and Jan Karem Höhne (DZHW, Leibniz University Hannover) Context of the workshop Mobile devices allow researchers to collect data through built-in sensors, such as GPS, accelerometers, and other sensors, passively collect data in-browser, and use apps in addition to self-reports. Passive mobile data collection can potentially decrease measurement errors and reduce respondent burden. Active data collection using apps, camera, microphone, and other sensors allows researchers to broaden the research questions they want to study. Incorporating new measurements to augment or replace survey questions through sensors and apps brings challenges for representativeness, survey design and implementation, and measurement. This also includes ethical and legal considerations that are yet to be understood. The goal of this workshop is to bring together around 40 researchers from different disciplines to discuss the current state of their work on the use of mobile apps and sensors in survey data collection. The workshop is only open to participants whose abstracts will be accepted for a paper presentation. Upon acceptance participants are expected to submit a handout (max. of 5 pages). The workshop is free of charge for participants, but participants are expected to cover their own travel and lodging costs. The program, selected presentations and keynotes from five earlier MASS workshops can be found at _https://massworkshop.org <https://massworkshop.org>_. Scope of the workshop For the sixth MASS workshop, we invite contributions that focus, among others, on the following methodological issues when using mobile apps, sensors, and wearables in surveys: * Technical aspects of mobile apps and sensors o Different ways to collect sensor data o Building apps for Android and iOS o Data processing and storage * Study and app design o Look and feel of apps o Usability studies o Use of incentives o Giving feedback to respondents * Implementation o Willingness to participate and informed consent o Methods to invite and communicate with study participants o Study length and study intensity o Legal considerations o Ethical and privacy considerations * Quality of sensor data o Errors of non-representation (e.g., self-selection, coverage, and nonparticipation) o Measurement error (e.g., prevention, modeling, and correction) * Data analysis o Analyzing sensor data (e.g., through machine and deep learning) o Combining survey, sensor, and app data We encourage submission of work in progress and are particularly interested in studies that use experimental designs to test strategies to collect data from mobile apps, sensors, and wearables. We are open to both empirical studies as well as descriptions of research data collection and infrastructure (e.g., front- or backend of an app) and processing of data from apps and sensors. Submission process and timeline Please submit your abstract (max. 500 words) for the workshop to _massworkshop(a)zohomail.eu <mailto:massworkshop@zohomail.eu>_. The abstract should contain a research question, data collection procedures/the description of the app, and results (if available). If results are not available yet, the abstract should outline the type of analyses that will be presented at the workshop and whether data collection took place already. Participation in the workshop is only possible when an abstract is accepted for the workshop. We intend to keep the workshop limited to about 40 participants. Timeline: * 22 January 2025: Deadline for abstract submission. * 14 February 2025: Feedback on acceptance will be provided. * 20 May 2025: Deadline for handout submission - all participants will be required to submit a 5-page handout presenting context, screenshots, tables, or other supporting materials for the workshop. All participants are expected to read all handouts before coming to the workshop. * 4 June 2025: Start of MASS Workshop -- 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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DATA RELEASE: RISC REGIONAL PANEL 2021 - WAVE 1 (FGZ-Regionalpanel Welle 1)
by Jean-Yves Gerlitz 20 Nov '24

20 Nov '24

Dear Colleagues, We are happy to announce the *release* of the first *Scientific Use File* of the *RISC Regional Panel*: The *RISC **R**egional **P**anel 2021 – Wave 1 *(risc_regpan.2021.w1.v1). For more details and information how the data can be obtained, please see below or visit https://fgz-risc-data.de/datenportal/datenangebot/risc_regional_panel/wave1… *The* *RISC Regional Panel: *Coordinated by the RISC section Halle (Saale), sections Bielefeld, Göttingen, and Hannover jointly conducted this panel study on social cohesion in local societies. The RISC Regional Panel covers 12 communes in 4 German federal states (Bavaria, Lower-Saxony, North Rhine-Westphalia, Saxony-Anhalt): One large city (min 200,000 inhabitants), one medium-sized city (max 50,000 inhabitants), and one small commune/village each. The samples are randomly drawn from official registry and the data are representative for each commune. *The **RISC **R**egional **P**anel 2021 – Wave 1: *The first wave of the dataset comprises data on a wide range of topics like social cohesion, neighbourhoods, media consumption, local infrastructures, andpolarisation. *Data Access:* The RISC RegPan W1 2021 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 Research Data Centre Research Fellow logo-fgz Forschungsinstitut Gesellschaftlicher Zusammenhalt Geschäftsstelle Bremen Research Data Centre of the RISC (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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KFN Herbst-/Wintertagung “Maschinelles Lernen und computergestützte Methoden in der Kriminologie”
by Daniel Seddig 20 Nov '24

20 Nov '24

Liebe Kolleg*innen, erlauben Sie mir auf die Herbst-/Wintertagung “Maschinelles Lernen und computergestützte Methoden in der Kriminologie” am KFN hinzuweisen. Die Tagung findet am Montag, den 2. Dezember 2024 online statt. Die Teilnahme ist kostenlos. Weitere Informationen finden Sie hier: https://kfn.de/veranstaltungen/kfn-methodlab-herbst-wintertagung-2024/ Freundliche Grüße Daniel Seddig ---- 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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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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Methoden