Methoden

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1884 discussions

Stellenausschreibung J.W.Goethe Universität Frankfurt
by Hagen, Marina 15 Oct '18

15 Oct '18

Im Institut für Soziologie des Fachbereichs Gesellschaftswissenschaften der Johann Wolfgang Goethe-Universität Frankfurt am Main ist an der Professur von Frau Prof. Dr. Daniela Grunow zum 01.01.2019 die Stelle eines/einer wissenschaftlichen Mitarbeiterin/Mitarbeiters (E13 TV-G-U) zunächst befristet für die Dauer von drei Jahren ganztags zu besetzen. Die Aufgaben des/der Stelleninhabers/in liegen vornehmlich im Bereich der universitären im Fach Soziologie in allen Studiengängen einschließlich der Bildungswissenschaften und in den Lehramtsstudiengängen. Der Schwerpunkt sollte bei Veranstaltungen im Bereich der Quantitativen Analyse gesellschaftlichen Wandels in Deutschland und im internationalen Vergleich liegen. Lehrangebote zu den Themengebieten quantitative Methoden, quantitative Inhaltsanalyse, soziale Ungleichheit und Familie sind wünschenswert. Es besteht eine regelmäßige Lehrverpflichtung von 4 Semesterwochenstunden. Gelegenheit zur selbstbestimmten Forschung, insbesondere zur Weiterqualifikation, sowie zur Mitarbeit an laufenden nationalen und internationalen Forschungsprojekten wird gegeben. Einstellungsvoraussetzungen sind neben der qualifizierten Promotion im Bereich der Sozialwissenschaften, einschlägige Kenntnisse in den oben genannten Arbeitsbereichen der ausgezeichneten Kenntnisse in der Anwendung fortgeschrittener quantitativer Analyseverfahren in Stata und SPSS, nachgewiesen durch national und international begutachtete Zeitschriftenpublikationen. Bewerbungen mit den üblichen Unterlagen (aussagefähiges Anschreiben, Lebenslauf, Publikationsverzeichnis, Zeugniskopien) sind elektronisch unter Angabe der Kennziffer 33/2018 bis zum 24.10.2018 zu richten an den Dekan des Fachbereichs Gesellschaftswissenschaften der J.W. Goethe-Universität, Mailadresse: dekanat.fb03-bewerbungen(a)soz.uni-frankfurt.de<mailto:dekanat.fb03-bewerbungen@soz.uni-frankfurt.de> Bitte leiten Sie die Stellenausschreibung an potenziell Interessierte weiter, Viele Grüße Marina Hagen Marina Hagen Wissenschaftliche Mitarbeiterin, Professur für Soziologie mit dem Schwerpunkt Quantitative Analysen gesellschaftlichen Wandels Goethe-Universität Frankfurt | Campus Westend PEG-Gebäude | Raum 3G.089 | Theodor-W.-Adorno-Platz 6 60323 Frankfurt am Main | GERMANY Telefon +49 (0)69 798 36537

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CfP „Dealing with International Comparative Survey Instruments in the Field of Education and Occupational Status", ESRA 2019
by Mergener, Dr. Alexandra 15 Oct '18

15 Oct '18

Dear Colleagues, I would like to draw your attention to the call for abstracts for the session „Dealing with International Comparative Survey Instruments in the Field of Education and Occupational Status: Challenges and Achievements” at the 8th Conference of the European Survey Research Association, 15th-19th July 2019 in Zagreb, Croatia. https://www.europeansurveyresearch.org/conferences/sessionCategories?sess=58 Please submit an abstract (max. 300 words) to the session via the ESRA conference management system. Deadline for Abstracts: 18th November 2018. Best regards Alexandra Mergener Session details: Dealing with International Comparative Survey Instruments in the Field of Education and Occupational Status: Challenges and Achievements Over the past decades, the number of international comparative approaches and studies in the fields of educational and occupational research increased substantially. Even if these approaches lead to tremendous insights into these research fields and are helpful to reflect and interpret the results of one’s own country from another perspective, there are challenges and sometimes limitations in achieving (effectively) comparable results. Different cultural and economic settings lead to a diverse understanding of concepts. Especially in case of education and occupational status, there are system specific characteristics researchers have to deal with in every country. Those hinder measurement, harmonization and finally comparison of concepts. With international classifications, scales or indices of education and occupational status (e.g. ISCED, CASMIN, ISCO, ISEI, SIOP, EGP), there are survey instruments which should enhance the international comparability. Nevertheless, it has been shown, for instance, that the ‘International Standard Classification of Education (ISCED)’ or ’years of education’ measure the educational attainments in cross-national surveys inadequately, as they do not sufficiently capture the distinct value of vocational training in some countries. Additionally, surveys could ask for occupations or the occupational status in a different way (e.g. asking for job titles or job tasks), depending on the national concept und understanding of occupations. Thus, in the proposed session we are going to look for contributions focusing on experiences with the international comparability of classifications of education and occupations or occupational status. We are interested in the ways researchers handle the coding of different educational and occupational variables and how they transfer them in international classifications. What kind of analytical approaches could enhance the international comparability? Survey researchers who are active in these fields of research are welcome to present their (recent) studies and their strategies to deal with it or to discuss existing problems and challenges with the international comparability of these survey instruments. Dr. Alexandra Mergener ____________________________________________________________ Bundesinstitut für Berufsbildung (BIBB) Wissenschaftliche Mitarbeiterin Arbeitsbereich 1.2 “ Qualifikation, berufliche Integration und Erwerbstätigkeit“ Federal Institute for Vocational Education and Training (BIBB) Research Associate Section 1.2 “Qualifications, Occupational Integration and Employment” Robert‐Schuman‐Platz 3 D‐53175 Bonn Fon: +49 228 107 1414 www.bibb.de<http://www.bibb.de/>

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CfP ESRA 2019: "Assessing Implicit Attitudes Using General Population Surveys"
by jochen.mayerl＠sowi.uni-kl.de 15 Oct '18

15 Oct '18

Dear colleagues, Please consider submitting an abstract (300 words or fewer) to our ESRA 2019 panel "Assessing Implicit Attitudes Using General Population Surveys (see below for details) in Zagreb, Croatia, 15th-19th July 2019. The submission deadline is November 18th. Please use the ESRA conference management system for submission: <https://www.europeansurveyresearch.org/conferences/register> https://www.europeansurveyresearch.org/conferences/register Looking forward to meet you in Zagreb, Elmar Schlueter & Jochen Mayerl Assessing Implicit Attitudes Using General Population Surveys Survey researchers typically assess attitudes, broadly defined here as associations between concepts and evaluations, using self-report measures. For example, respondents might be asked to self-assess their views or feelings toward different immigrant groups on a response scale from 1 (dislike this group very much) to 7 (like this group very much). Alternative to such a direct measurement approach respondents attitudes might also be assessed indirectly. Here, one line of research originating in psychology uses respondents performance (e.g. response latencies or categorization errors) on behavioral tasks designed to infer the construct of interest rather to rely on self-reports. Recent years have witnessed an unprecedented proliferation of methods seeking to assess such implicit attitudes, including but not limited to measurement approaches like the implicit association test (Nosek, 2007) or the affective misattribution procedure (Payne et al., 2005). Relying on relatively small, non-representative samples, such methods are routinely employed in psychological research. However, the feasibility and utility of using implicit measures in large-scale survey research based on representative population samples is less clear. This session invites papers that focus on methodological as well as substantive issues arising from coupling measures of implicit attitudes with large-scale population surveys. Contributions may cover but are not limited to the following research topics: * Innovative measurement approaches of implicit attitudes * Effects of survey mode and/or sampling methodology on outcomes * Applications with a substantial focus (e.g. research on intergroup relations or sensitive topics more generally) Prof. Dr. Elmar Schlueter Justus-Liebig-University of Giessen Institute of Sociology Karl-Glöckner-Str. 21E 35394 Giessen Germany Fon:+49/(0)641/99-23240 Fax:+49/(0)641/99-23269 Email: elmar.schlueter(a)sowi.uni-giessen.de <mailto:elmar.schlueter@sowi.uni-giessen.de> Skype: elmar.schlueter1 Web: http://tinyurl.com/lgfygpo Prof. Dr. Jochen Mayerl Chemnitz University of Technology Faculty for Behavioural and Social Sciences Institute of Sociology Empirical Social Research Unit Thüringer Weg 9 D-09126 Chemnitz Germany Tel. +49 371 531-37130 jochen.mayerl(a)soziologie.tu-chemnitz.de <mailto:jochen.mayerl@soziologie.tu-chemnitz.de> https://www.tu-chemnitz.de/hsw/soziologie/Professuren/Empirische_Sozialforsc hung/index.php

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Stellenausschreibung Eichstätt
by Tobias Wolbring 12 Oct '18

12 Oct '18

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CfA ESRA 2019: Fieldwork monitoring tools for large-scale surveys: Lessons from the field
by Michael Bergmann 10 Oct '18

10 Oct '18

***Apologies for cross-posting*** Dear colleagues, We would like to invite you to submit an abstract to our session on Fieldwork monitoring tools for large-scale surveys: Lessons from the field at the ESRA Conference (July 15-19, 2019 in Zagreb). You can submit your abstract (max. 300 words) using the conference website: https://www.europeansurveyresearch.org/conferences/register The closing date for the submission of abstracts is November 18, 2018. Here is the abstract for our session: Fieldwork monitoring tools for large-scale surveys: Lessons from the field A key challenge in survey research is how to manage fieldwork to maximise sample sizes and balance response rates whilst ensuring that fieldwork is completed on time, within budget and to the highest possible standards. This is particularly demanding when monitoring fieldwork across multiple surveys simultaneously, across time, or across different countries. Effective monitoring requires access to real-time information which can be collected by and shared with multiple stakeholders in a standardised way and responded to in a timely manner. This process often involves researchers who may be several steps removed from the fieldwork, located in a different organisation and even a different country. Increasingly, fieldwork agencies and survey infrastructures have access to detailed progress indicators collected electronically in the field. Making use of this information requires streamlining the information received by means of fieldwork monitoring systems or dashboards. Developing an effective fieldwork monitoring system is not as straightforward as it may at first appear and raises both methodological and operational questions. Methodological questions include which indicators to use for monitoring, how to combine paradata from multiple sources to generate indicators, and how to use the indicators during fieldwork. Operational questions include how to most effectively present the agreed indicators, which stakeholders the monitoring system should cater for, how often updates should be received, how to implement y interventions, and how the feedback loop between the monitoring team and interviewers in the field should be managed. Thinking about these questions is crucial in ensuring that increased access to real-time data leads to improvements in monitoring and responding to issues in the field. The data should facilitate informed decision-making about how best to realise often competing goals of fieldwork delivery, quality and costs. This session aims to bring together those working with fieldwork monitoring dashboards or other tools to share their experiences and learning. We welcome presentations from different stakeholders (fieldwork agencies, research infrastructures, academic institutes, etc.) and survey types (national and cross-national, cross-sectional and longitudinal, conducted in any mode). Presentations could outline how the types of methodological and practical issues raised above have been addressed and demonstrate how the choices made have had an impact, good or bad, on capacity to monitor fieldwork. Presentations may also provide systematic reviews of one or more performance indicators results of implementing adaptive and responsive designs informed by monitoring dashboards, and experimental and simulation studies on fieldwork monitoring. Looking forward to seeing you at the ESRA conference, Michael Bergmann Sarah Butt Salima Douhou Brad Edwards Patrick Schmich Henning Silber -- Dr. Michael Bergmann Technical University of Munich (Chair for the Economics of Aging), Munich Center for the Economics of Aging (MEA) Max Planck Institute for Social Law and Social Policy Amalienstr. 33 80799 Munich, Germany Phone: +49-89-38602-322 Email: bergmann[at]mea.mpisoc.mpg.de Homepage: www.mea.mpisoc.mpg.de<http://www.mea.mpisoc.mpg.de/>

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CfA ESRA 2019: Quantitative Spatial Analysis of Micro and Macro Data
by Henning Best 10 Oct '18

10 Oct '18

Dear colleagues, Please consider submitting an abstract (300 words or fewer) to our ESRA 2019 panel, "Quantitative Spatial Analysis of Micro and Macro Data: Methodological Challenges and Solutions” (see below for details). The submission deadline is November 18. Please use the ESRA conference management system for submission: https://www.europeansurveyresearch.org/conferences/register Tobias Rüttenauer & Henning Best Quantitative Spatial Analysis of Micro and Macro Data: Methodological Challenges and Solutions The session intends to bring together methodological experiences made when working with spatial data in quantitative empirical social research. On the one hand, spatial data offer the opportunity to investigate the relationship between regional characteristics on the macro level. On the other hand, spatial data can be used to enrich survey data with structural information on a certain regional level, either to control for context effects or to explicitly analyse these effects and their interplay with mechanisms on the individual level. By using GIS, addresses of survey participants can be linked with objective measures of their neighbourhood (e.g. pollution data) or proximity to institutions (e.g. of educational institutions or workplaces). Thus, these data allow investigating the relevance of infrastructure distances for social action as well as processes of spatial spillovers and diffusion. In doing so, several methodological questions arise: What kind of regional level is adequate to what kind of question and how does the choice of administrative borders influence the derived conclusions (“MAUP”)? Can we enrich survey data by information on actual travelling times and means of transportation to account for the moving or action space of participants? What are the challenges and limitations of these approaches and how can it be done reliably? Furthermore, innovative statistical methods are necessary to adequately analyse spatial data. Various regression models (e.g. SAR, SARAR, SLX, Durbin and others) address the spatial dependence in different ways and offer alternative approaches to identify different types of spatial spillovers or spatial interdependences, in cross-sectional and longitudinal data. Which types of models are adequate for which type of questions? Which models can be used to simultaneously analyse individual and aggregate data? In sum, in this session we are especially interested in methodological and applied studies dealing with topics of: 1. Choice of adequate regional level and handling of borders when using administrative data 2. Connection of individual data and spatially aggregate as well as infrastructural data 3. Spatial analysis of time-series and cross-sectional data 4. Modelling spatial relationships (e.g. commuting flows, distances, traveling times, social interactions) 5. Modelling spatial interaction, spillover or diffusion processes 6. Further challenges and solutions when using georeferenced data -- Prof. Dr. Henning Best Fachbereich Sozialwissenschaften TU Kaiserslautern Erwin-Schrödinger-Straße 57 67663 Kaiserslautern E-Mail: best(a)sowi.uni-kl.de

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Stellenausschreibungen IBZ Uni Bern: Wissenschaftliche Leitung und Wissenschaftliche/r Mitarbeiter/in
by ben.jann＠soz.unibe.ch 08 Oct '18

08 Oct '18

Am neu gegründeten Interfakultären Zentrum für Bildungsforschung (IZB) der Philosophisch-humanwissenschaftlichen Fakultät und Wirtschafts- und Sozialwissenschaftlichen Fakultät an der Universität Bern sind per 01.01.2019 oder nach Vereinbarung folgende Stellen zu besetzen: *** Wissenschaftliche Leitung *** Diese Leitungsstelle mit einem Beschäftigungsgrad von 80% ist zunächst auf zweimal 3 Jahre befristet. Eine Verlängerung der Anstellung wird angestrebt. Die Aufgaben der Wissenschaftlichen Leitung liegen primär im Bereich der Forschung und akademischen Lehre. Dazu gehören die Leitung der Projekte in Zusammenhang mit der Überprüfung der Grundkompetenzen in der Schweiz (ÜGK), die Koordination der Aufgaben der in ÜGK involvierten regionalen Testzentren und sonstigen Akteure, Akquisition von Drittmitteln für Begleitprojekte, die wissenschaftliche Einbettung der Projekte (inklusive Publikationen), Personalführung, die regelmässige Durchführung von Lehrveranstaltungen zum Themenbereich sowie die Kommunikation mit den Fakultäten, der Universitätsleitung, der EDK, den Stakeholdern sowie den Mitgliedern des Kuratoriums und des Beirats. Voraussetzung für die Bewerbung ist eine Promotion in Erziehungswissenschaft, Psychologie, Soziologie oder Bildungsökonomie. Gefordert sind hervorragende bisherige Forschungs- und Publikationsleistungen, einschlägige Erfahrungen mit Large Scale Assessments und Survey Methodologie, gute Kenntnisse des Schweizer Bildungssystems sowie Fähigkeiten in der Führung von Mitarbeitenden. Erwünscht sind Deutsch oder Französisch als Muttersprache mit guten Kenntnissen der anderen Sprache sowie gute Englischkenntnisse. Kenntnisse der italienischen Sprache sind von Vorteil. Erfahrungen in der erfolgreichen Einwerbung von Drittmittel sind ebenfalls erwünscht. *** Wissenschaftliche/r Mitarbeiter/in (Geschäftsstelle) *** Diese Position ist mit einem Beschäftigungsgrad von 80% zunächst auf zweimal 3 Jahre befristet. Eine Verlängerung der Anstellung wird angestrebt. Aufgabe der Wissenschaftlichen Mitarbeiterin bzw. des Wissenschaftlichen Mitarbeiters ist die Führung der Geschäftsstelle des IZB. Dazu gehören die Unterstützung der Wissenschaftlichen Leitung des IZB in allen wissenschaftlichen Belangen, die Koordination der Projekte sowie die wissenschaftliche Einbettung der Projekte (inkl. Publikationen). Voraussetzung für die Bewerbung ist ein Masterabschluss oder eine abgeschlossene Promotion in Erziehungswissenschaft, Psychologie, Soziologie oder Bildungsökonomie. Erwünscht sind hervorragende bisherige Forschungs- und Publikationsleistungen, einschlägige Erfahrungen mit Large Scale Assessments und Survey Methodologie sowie gute Kenntnisse des Schweizer Bildungssystems. Ebenso erwünscht sind Deutsch oder Französisch als Muttersprache mit guten Kenntnissen der anderen Sprache sowie gute Englischkenntnisse. Kenntnisse der italienischen Sprache sind von Vorteil. Wir bieten die Einbindung in ein kompetentes, engagiertes und kooperatives Lehr- und Forschungsteam sowie gute Anstellungsbedingungen gemäss dem Personalreglement des Kantons Bern. Die Universität Bern strebt eine Erhöhung des Anteils von Frauen in leitenden akademischen Positionen an und fordert deshalb qualifizierte Wissenschaftlerinnen nachdrücklich zur Bewerbung auf. Bewerbungen (mit Curriculum Vitae und Schriftenverzeichnis) sind schriftlich in elektronischer Form (pdf) bis zum 5. November 2018 beim Dekanat der Philosophisch-humanwissenschaftlichen Fakultät der Universität Bern, Fabrikstrasse 8, CH-3012 Bern, barbara.lewis(a)humdek.unibe.ch, einzureichen.

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Training School “Evaluation procedures and their impact on SSH"
by Tobias Wolbring 06 Oct '18

06 Oct '18

Liebe Kolleginnen und Kollegen, im Anhang ein CfA für die im Betreff genannte Training School in Vilnius. Beste Grüße Tobias Wolbring --- Prof. Dr. Tobias Wolbring Chair of Empirical Economic Sociology School of Business and Economics Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Findelgasse 7/9 D-90402 Nürnberg Office: +49 911 5302 950 tobias.wolbring(a)fau.de http://www.wirtschaftssoziologie.wiso.uni-erlangen.de/ https://sites.google.com/site/tobiaswolbring/

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Second Call for Papers of the 5th Conference of the Deutsche Arbeitsgemeinschaft Statistik, (DAGStat 2019)
by Tobias Wolbring 05 Oct '18

05 Oct '18

Second Call for Papers of the 5th Conference of the Deutsche Arbeitsgemeinschaft Statistik, (DAGStat 2019) Registration is now open and we cordially invite you to register for the 5th Conference of the Deutsche Arbeitsgemeinschaft Statistik (DAGStat 2019) from March 18 - 22, 2019, at LMU Munich, under https://www.dagstat2019.statistik.uni-muenchen.de/index.html Under the motto "Statistics under one Umbrella" the planned conference program contains contributions of all areas of statistics and many applications of statistical methods. Scientific exchange between the participating societies is one main aims of the conference. This is reflected by embedding two important annual meetings, the "65. Biometrisches Kolloquium" of the German Region of the International Biometric Society and the "Spring Meeting" of the Deutsche Statistische Gesellschaft. For the conference, Sara van de Geer, Andrew Gelman, Donald B. Rubin and Michael Jordan have agreed to be plenary speakers. For special topics and invited speakers see https://www.dagstat2019.statistik.uni-muenchen.de/scientific-programs/index… Tutorials will be offered about the topics "Adaptive designs for clinical trials" (Frank Bretz, Tim Friede), "Bayesian data analysis using Stan" (Andrew Gelman), and " Spatio-temporal modeling" (Thomas Kneib), see https://www.dagstat2019.statistik.uni-muenchen.de/scientific-programs/tutor… Online registration and submission of abstracts is possible via https://www.dagstat2019.statistik.uni-muenchen.de/conference-details/news/i… Please note the following deadlines: November 4th 2018: Deadline for registration for the special session "Young Statisticians" (https://www.dagstat2019.statistik.uni-muenchen.de/scientific-programs/speci…) November 18th 2018: Abstract submission deadline January 27th 2019: Early-Bird registration deadline We are looking forward to welcoming you in Munich next year, Göran Kauermann and Helmut Küchenhoff, on behalf of the local organizing committee.

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ESRA 2019: Sampling Hard-to-Reach Populations (CfA)
by Ulrich Kohler 04 Oct '18

04 Oct '18

Dear Colleagues, on behalf of Lena Hipp (WZB), Dimitri Prandner (JK University of Linz)and Martin Weichbold (University of Salzburg) I wish to invite you to submit an abstract for our session "Sampling Hard-to-Reach Populations" at the ESRA Conference on July 15-19, 2019 in Zagreb. Session Details URL: https://www.europeansurveyresearch.org/conferences/sessionCategories?sess=27 Deadline: November 18th 2019 Submission URL: https://www.europeansurveyresearch.org/conferences/register (Registration required) For your convenience, I also copied the session details below my signature into the body of this e-mail. Many regards Ulrich Kohler -- Prof. Dr. Ulrich Kohler University of Potsdam Public interest in learning more about demographic groups that are either small, hidden, mobile, or engaged in illicit behaviors has grown in recent years. Prominent examples of these “hard-to-reach” populations are drug addicts, homeless people, or prostitutes as well as very rich people and migrants, particularly those who are not documented or who travel a lot. None of these demographic groups can be adequately sampled with probability surveys, either because of the absence of sampling frames, the small size of these groups compared to the total population, their unstable residency, or their reluctance to participate. In order to learn more about these hard-to-reach populations, researchers have employed a few different sampling methods, including network sampling, link-tracing designs (aka snowball sampling), and respondent-driven sampling. Although the use of such nonprobability sampling methods to survey hard-to-reach groups has rapidly expanded and has been employed in many different contexts (though particularly in developing countries), numerous questions regarding both the implementation of these surveys and the analyses of the collected data have not yet been (fully) resolved. o How can the target population be adequately delineated and identified in the sampling process? o How should researchers choose incentives and interview locations when surveying hard-to-reach populations? What are best practices in seed selection? o What do we know about mode differences when surveying hard-to-reach populations and asking individuals about illicit behaviors? o What challenges occur when employing nonprobability sampling in comparative studies, for example with regard to the number of initial seeds and assumptions regarding the referral o What are the best estimators when analyzing data collected from non-probability samples? o How can we best calculate the variability of the estimates from non-probability samples? o What are the ethical issues when surveying hard-to-reach populations and how can they be resolved in an acceptable way for researchers, respondents, and funding agencies? o How can nonprobability surveys be combined with other methodological approaches to assess the accuracy of their findings?

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Methoden