Methoden

methoden@mailman.uni-konstanz.de

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1859 discussions

PostDoc Stelle TU Berlin
by Isabell Stamm 15 Nov '16

15 Nov '16

Liebe Kolleginnen und Kollegen, untenstehend eine Stellenausschreibung für eine PostDoc Stelle (4,5 Jahre) am Institut für Soziologie an der TU Berlin mit der Bitte um Weiterleitung an potentielle Kandidaten/Kandidatinnen. Herzlichen Dank. Isabell Stamm ************ Bei der Technischen Universität Berlin, Fakultät VI - Institut für Soziologie/ FG Organisationssoziologie ist folgende Stelle zu besetzen: Wiss. Mitarbeiter/in - PostDoc - Entgeltgruppe 13 TV-L Berliner Hochschulen unter dem Vorbehalt der Mittelbewilligung - Teilzeitbeschäftigung ist ggf. möglich Kennziffer: VI-580/16 (besetzbar ab 01.03.2017 / befristet bis 31.08.2021 / Bewerbungsfristende 02.12.2016) Am Institut für Soziologie beginnt die Forschungsgruppe Entrepreneurial Group Dynamics, die im Freigeist-Programm der VolkswagenStiftung gefördert wird (www.entrepreneurialgroups.org). Ein Teilprojekt baut mittels Crowdsourcing einen Mehrebenen-Datensatz auf, der es erlaubt, die sich veränderten Konstellationen von unternehmerischen Gruppen über einen langen Zeitraum hinweg zu verfolgen. Für die Leitung dieses Teilprojektes suchen wir eine/n motivierte/n und engagierte/n Mitarbeiter/in. Aufgabenbeschreibung: Die idealen Bewerber streben mit Leidenschaft und ausgezeichneten Fähigkeiten danach, die Methoden und methodologischen Implikationen der Organisations- und Wirtschaftssoziologie weiter zu entwickeln. Sie interessieren sich insbesondere dafür die Anwendung von Crowdsourcing als Forschungsmethode. Der/die Bewerber/in soll mittels Crowdsourcing einen quantitativen Datensatz zur Erfassung von Dynamiken in unternehmerischen Gruppen entwickeln. Dies beinhaltet die Auswahl und das Testen geeigneter Datenquellen, die im Zuge einer Dokumentenanalyse nutzbar gemacht werden können (z.B. Zeitungsartikel, Branchenbücher, Unternehmensregistereinträge, Websites); das Erstellen eines Handbuches, das die Schritte der Datenerfassung im Rahmen des Crowdsourcing dokumentiert; Koordination der Entwicklung einer Crowdsourcing-Plattform mit externen Partnern; sowie Ausschreibung und Leitung der Datenerfassung mittels Crowdsourcing; Validieren der entstehenden Datenbank und selbständige Auswertung der Daten mittels fortgeschrittenen quantitativen Methoden. Der/die Bewerber/in wird den Forschungsprozess und die erzielten Ergebnisse durch wissenschaftliche Präsentations- und Publikationstätigkeit sowie Öffentlichkeitsarbeit kommunizieren. Wir bieten: Individueller Personalentwicklungsplan, der Karriereziele innerhalb und außerhalb der Wissenschaft unter-stützt. Möglichkeit zu eigenständigen wissenschaftlichen Publikationen und eventuell zur Habilitation. Möglichkeit an einem mehrwöchigen Austausch mit der DUKE University teilzunehmen. Erwartete Qualifikationen: Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Diplom, Master oder Äquivalent) und abgeschlossene Promotion in den Sozialwissenschaften oder einer angrenzenden Disziplin mit einem Schwerpunkt in Methoden der empirischen Sozialforschung. Sie können sehr gute Fähigkeiten in der Erhebung, Aufbereitung und Auswertung standardisierter Daten nachweisen, insbesondere prozessproduzierter Daten (z.B. öffentliche Registerdaten, Unternehmensdaten) und in digitalen Methoden. Sie haben Erfahrung in dem Aufbau und im Umgang mit Mehr-Ebenen-Datensätzen und Paneldatensätzen und verfügen über sehr gute Kenntnisse in multivariater Statistik (z.B. Mehrebenenanalyse, Sequenzanalyse und Netzwerkanalysen). Sie arbeiten wissenschaftlich selbständig, sind versiert in statistischen Analyseprogrammen (z.B. STATA, R, SPSS), idealerweise haben Sie Kennnisse in CMS. Sehr gute Kenntnisse in Englisch und Deutsch sind wünschenswert. Wir suchen einen Teamplayer mit Bereitschaft zu kollegialem Austausch. Ihre Bewerbung richten Sie unter Angabe der Kennziffer mit den üblichen Unterlagen (insb. Motivationsschreiben, Lebenslauf inklusive Literaturliste, Forschungsprofil, Zeugnisse) bitte vorzugsweise per E-Mail (in einem PDF-Dokument) an silke.kirchhof(a)tu-berlin.de an die Technische Universität Berlin - Der Präsident - Fakultät VI, Institut für Soziologie, Frau Dr. Stamm, Sekr. FH 9-1, Frauenhofer Str. 33-36, 10578 Berlin. __________________________ Dr. Isabell Stamm Technical University Berlin Department for Sociology Research Group Leader Entrepreneurial Group Dynamics Frauenhofer Str. 33-36 10587 Berlin Tel. +49 30 314 75679 http://www.soz.tu-berlin.de/menue/institut_fuer_soziologie/parameter/en/ http://www.isabellstamm.de <http://www.isabellstamm.de/>

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Fw: [aimsl] Call - "BMS" Editor / Rédacteur en chef
by Peter Ohly 10 Nov '16

10 Nov '16

> Gesendet: Donnerstag, 10. November 2016 um 11:43 Uhr > Von: "VAN METER Karl" <karl.vanmeter(a)ens.fr> > An: bms-rc33(a)services.cnrs.fr, jourdan(a)ens.fr, aimsl(a)services.cnrs.fr > Betreff: [aimsl] Call - "BMS" Editor / Rédacteur en chef > > > > Call - "BMS" Editor / Rédacteur en chef > > The "Bulletin de Méthodoligie Sociologique / Bulletin of Sociological > Methodology" or "BMS", a bilingual English-French quarterly scientific > journal, published jointly by the AIMS (Association Internationale de > Méthodologie Sociologique) and Sage Publications in London, is looking > for a new Editor to begin working within six months. This is a > non-salaried position and although the capacity to work in both English > and French is desirable, it is not a requirement. Interested candidates > should carefully look over the "BMS" Web site at Sage > (http://bms.sagepub.com/) before applying by sending us an email and a > curriculum vita at bms-aims(a)orange.fr. > > ----- > > Le "Bulletin de Méthodologie Sociologique / Bulletin of Sociological > Methodology" ou "BMS", une revue scientifique trimestrielle bilingue > anglais-français, publiée conjointement par l'AIMS (Association > Internationale de Méthodologie Sociologique) et Sage Publications à > Londres, est à la recherche d'un nouveau rédacteur en chef pour > commencer à travailler dans les six mois. Ceci est une position > non-salariée et bien que la capacité à travailler en anglais et en > français soit souhaitable, ce n'est pas une exigence. Les candidats > potentiels doivent regarder attentivement le site Web du "BMS" à Sage > (http://bms.sagepub.com/) avant de proposer leur candidature en nous > envoyant un courriel avec un curriculum vitae à bms-aims(a)orange.fr. > > >> Consider submitting your methodologically interesting articles to the > >> BMS << > > ******************************************************************************* > * > * Karl M. van Meter BMS, Bulletin de Methodologie > Sociologique > * karl.vanmeter(a)ens.fr (Bulletin of Sociological Methodology) > * tel 33 (0)1 43 25 26 57 Web http://bms.sagepub.com > * Blog http://karlvanmeter.wordpress.com/ > * Ecole normale supérieure distribution list > bms-rc33(a)services.cnrs.fr > * 48 boulevard Jourdan free distribution list > aimsl(a)services.cnrs.fr > * 75014 Paris, France > * RC33, Research Committee Logic & > * BMS-AIMS Methodology of the International > * 45 rue Linné Sociological Association (ISA) > * 75005 Paris, France http://www.rc33.org/ > * > * http://ens.academia.edu/KarlMvanMeter > ******************************************************************************* > >

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ESRA 2017 CfP: Quantitative Spatial Analysis of Micro and Macro Data
by Henning Best 09 Nov '16

09 Nov '16

*** Apologies for cross-posting *** Dear all, The 7th Conference of the European Survey Research Association (ESRA) will take place from July 17 to 21 2017 in Lisbon, Portugal. We invite paper proposals for our session "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 offers 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 (MAUP)? And how can we handle social action at boarders of administrative units? To derive closer estimates of real individual distances and potential spaces of action a possible solution could be to weight the importance of neighbouring regions by information on actual traveling times with different means of transport. 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 Henning Best (TU Kaiserslautern) Corinna Kleinert (Leibniz Institute for Educational Trajectories) Tobias Ruettenauer (TU Kaiserslautern) Michaela Sixt (Leibniz Institute for Educational Trajectories)

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Frühjahrstagung "Familie und Gesundheit" (20.-21.02.2017)
by O. Arránz Becker 08 Nov '16

08 Nov '16

Liebe Kolleginnen und Kollegen, anbei sende ich Ihnen einen Call für die gemeinsame Frühjahrstagung der DGS-Sektionen Familiensoziologie und Medizin- und Gesundheitssoziologie zum Thema "Familie und Gesundheit", die am 20./21. Februar 2017 stattfindet (Einsendefrist: 30.11.2016) mit der Bitte um Verbreitung und Weiterleitung an interessierte Personen. -- 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(a)soziologie.uni-halle.de

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Frühjahrstagung 2017 der DGS Sektion Methoden der empirischen Sozialforschung
by Prof. Dr. Stefanie Eifler 08 Nov '16

08 Nov '16

Liebe Kollegen und Kolleginnen, anbei erhalten Sie den CfP für die kommende Frühjahrstagung der DGS-Sektion Methoden der empirischen Sozialforschung, zu der ich hiermit herzlich einlade. Die Tagung wird sich dem Thema "Measurement Error" widmen und wird am 28. und 29. April 2017 an der Universität Mannheim stattfinden. Die lokale Organisation übernehmen Natalja Menold, Silke Schneider, Beatrice Rammstedt und Cornelia Zuell. Wir freuen uns auf Ihre Vortragsangebote! Vielen Dank und mit besten Grüßen, Stefanie Eifler

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ESRA 2017 Call for Papers: Researching Sensitive Topics: Improving Theory and Survey
by Trappmann Mark 07 Nov '16

07 Nov '16

Liebe Kolleginnen und Kollegen, anbei ein weiterer Call for Papers für eine Session bei der ESRA im kommenden Juli (17.-21.7.) in Lissabon. Wir freuen uns auf Ihre Einreichungen. Mit freundlichen Grüßen Ivar Krumpal, Ben Jann, Mark Trappmann, Researching Sensitive Topics: Improving Theory and Survey Design Convenor Dr Ivar Krumpal (University of Leipzig) Coordinator 1 Professor Ben Jann (University of Bern) Coordinator 2 Professor Mark Trappmann (IAB Nürnberg) Social desirability bias is a problem in surveys collecting data on private issues, deviant behavior or unsocial opinions (e.g. sex, health, income, illicit drug use, tax evasion or xenophobia) as soon as the respondents' true scores differ from social norms. Asking sensitive questions poses a dilemma to survey participants. On the one hand, politeness norms may oblige the respondent to be helpful and cooperative and self-report the sensitive personal information truthfully. On the other hand, the respondent may not trust in his or her data protection and may fear negative consequences from self-reporting norm-violating behavior or opinions. Cumulative empirical evidence shows that in the context of surveying sensitive issues respondents often engage in self-protective behavior, i.e. they either give socially desirable answers or they refuse to answer at all. Such systematic misreporting or nonresponse leads to biased estimates and poor data quality of the entire survey study. Specific data collection approaches were proposed to increase respondents' cooperation and improve validity of self-reports in sensitive surveys. This session is about deepening our knowledge of the data generation process and advancing the theoretical basis of the ongoing debate about establishing best practices and designs for surveying sensitive topics. We invite submissions that deal with these problems and/or present potential solutions. In particular, we are interested in studies that (1) reason about the psychological processes and social interactions between the actors that are involved in the collection of the sensitive data; (2) present current empirical research focusing on 'question-and-answer' based (e.g. randomized response techniques, factorial surveys), non-reactive (e.g. record linkage approaches, field experiments or administrative data usage) or mixed methods of data collection (e.g. big data analyses in combination with classical survey approaches) focusing on the problem of social desirability; (3) deal with statistical procedures to analyze data generated with special data collection methods; (4) explore the possibilities and limits of integrating new and innovative data collection approaches for sensitive issues in well-established, large-scale population surveys taking into account problems of research ethics and data protection. In order to submit an abstract you need to log in to your ESRA account or create a new one at http://www.europeansurveyresearch.org/conference and then select our session which is listed in alphabetical order under "survey methodological research" -> "Researching Sensitive Topics: Improving Theory and Survey Design". The closing date for the submission of abstracts is 4th December 2016. Prof. Dr. Mark Trappmann Institut für Arbeitsmarkt- und Berufsforschung (IAB) Forschungsbereich E3: Panel "Arbeitsmarkt und soziale Sicherung" Regensburger Str. 104 90478 Nürnberg Tel. 0911-179-3096 und Otto-Friedrich-Universität Bamberg Fakultät für Sozial- und Wirtschaftswissenschaften Lehrstuhl für Soziologie, insbes. Survey-Methodologie 96045 Bamberg

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ESRA 2017: CfP 'Proper and robust multiple imputation of complex data'
by Martin Spiess 07 Nov '16

07 Nov '16

Call for Papers Session: `Proper and robust multiple imputation of complex data' Organizer: Kristian Kleinke, Martin Spiess & Jost Reinecke Dear Colleagues, we would like to draw your attention to the call for papers for our session 'Proper and robust multiple imputation of complex data' at the 7th Conference of the European Survey Research Association, 17th-21st July 2017 in Lisbon, Portugal. ********************************************************** Summary: Allison (2001) states that the best solution to the missing data problem is prevention. This is especially true for complex data sets like multilevel data. Here, missingness may occur at various levels: in the outcome variable(s), in level-1 predictors, level-2 predictors, or even higher levels, and finally even in the group identifier(s). Many researchers still handle missingness (e.g. in multilevel data in level-1 and level-2 predictors) by excluding the incomplete cases from the analysis – a wasteful practice, which may lead to biased inferences. On the other hand, also none of the currently existing multiple imputation solutions for complex data can be described as optimal, as they either rely rather heavily upon strong distributional assumptions, often including homoscedasticity, which are frequently violated in “real life” situations. On the other hand, non- or semiparametric imputations methods often lack justification. Recent papers that contrast and review various strategies to impute complex or multilevel data are Drechsler (2015) and Enders, Mistler and Keller (2016). Shortcomings of some imputation techniques or consequences of misspecifications even in simple data sets are considered, e.g. in de Jong, van Buuren and Spiess (2016) or He and Raghunathan (2009). All in all, missing data in complex data structures is a field where a lot of research still has to be done. Feasible and robust software solutions need to be developed that work, even when empirical data do not exactly follow the convenient statistical distributions assumed by the respective procedures. We invite colleagues to present their research on multiple imputation solutions for complex data structures (e.g. clustered data, longitudinal data, panel data, cohort-sequential designs, etc.). We especially encourage proposals for robust procedures for “non-normal” missing data problems, i.e. when convenient distributional assumptions of standard MI procedures (normality, homoscedasticity) are violated. Also simulations that evaluate/compare different MI procedures regarding their robustness against violated assumptions are highly welcome. References Allison, P. D. (2001). Missing data. Thousand Oaks: Sage. de Jong, R., van Buuren, S. & Spiess, M. (2016) Multiple Imputation of Predictor Variables Using Generalized Additive Models. Communications in Statistics – Simulation and Computation, 45(3), 968–985. Drechsler, J. (2015). Multiple Imputation of Multilevel Missing Data – Rigor Versus Simplicity. Journal of Educational and Behavioral Statistics, 40(1), 69–95. Enders, C. K., Mistler, S. A., & Keller, B. T. (2016). Multilevel multiple imputation: A review and evaluation of joint modeling and chained equations imputation. Psychological Methods, 21(2), 222–240. He, Y. & Raghunathan, T. (2009). On the Performance of Sequential Regression Multiple Imputation Methods with Non Normal Error Distributions. Communications in Statistics – Simulation and Computation, 38(4), 856–883. *********************************************************** To submit an abstract, please visit the conference website at http://www.europeansurveyresearch.org/conference, sign up/log in and follow the instructions. You can select this session from the list of sessions provided in the submission form. [Proposals must be submitted online by 4th December 2016.] If you have any question, please feel free to contact us: Kristian Kleinke (kristian.kleinke(a)fernuni-hagen.de) Martin Spiess (martin.spiess(a)uni-hamburg.de) -- Prof. Dr. Martin Spiess Psychological Methods and Statistics Institute of Psychology Universitaet Hamburg Von-Melle-Park 5 20146 Hamburg Germany Tel. + 49 40 - 42838 5351 Fax. + 49 40 - 42838 6555 https://www.psy.uni-hamburg.de/arbeitsbereiche/psychologische-methoden-und-…

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ESRA 2017: CfP 'Validity of Vignette-Designs'
by Lena Verneuer 04 Nov '16

04 Nov '16

Call for Papers Session: Validity of Vignette-Designs Organizer: Stefanie Eifler & Lena Verneuer Dear Colleagues, we would likte to draw your attention to the call for papers for our session 'Validity of Vignette-Designs' at the 7th Conference of the European Survey Research Association in Lissabon next July. ********************************************************** Summary: Although Vignette-Designs are very common in social science, the question, what their empirical outcome really is, remains and has led to many (opposing) findings concerning validity aspects. Designed to measure behavioral intentions with the help of hypothetical situations, it is still not clear how these intentional measurements of the vignettes correspond with and to what extend they can serve as determinants for actual behavior. To anticipate this issue, different approaches have been made: In order to validate the vignettes externally, cross-validation strategies such as comparisons of field- and/or laboratory-experiments with written situations have been set up. Furthermore, different studies deal with the content validity of vignettes and draw upon questions of how detailed vignettes should be or how prone they are to evoke social desirable answers. In our session we want to draw attention to this ongoing debate and pool recent findings of projects that try to enrich the discussion. As there are many different ways of applicating vignettes, we do not focus on special designs and welcome all contributions dealing with different analytical strategies or empirical designs to disentangle the questions of validity. Against this background, papers matching one of the following aspects are cordially invited to be part of this session: • theoretical ideas for modeling the relationship between intentions and behavior for further empirical analyses • comparison and discussion of different Vignette-Designs concerning validity aspects • cross-validation strategies (new approaches, replications) • new developments in measuring intentions with Vignettes • issues of data-collection (how to measure behavior and intentions) • discussion of (dis-)advantages of Vignette-Designs, validation strategies and/or measurements *********************************************************** To submit an abstract, please visit the conference website at http://www.europeansurveyresearch.org/conference, sign up/log in and follow the instructions. You can select this session from the list of sessions provided in the submission form. [Proposals must be submitted online by 4th December 2016.] If you have any question, please feel free to contact us: Stefanie Eifler: stefanie.eifler(a)ku.de Lena Verneuer: lena.verneuer(a)uni-bielefeld.de -- Lena M. Verneuer, M.A. University of Bielefeld Faculty of Sociology Universitätsstraße 25 33615 Bielefeld room: X-D2-210 phone: +49521-106 3849 fax: +49521-106 89020 mail: lena.verneuer(a)uni-bielefeld.de www.crimoc.org

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CFP Mixed Methods
by Knappertsbusch, Felix 04 Nov '16

04 Nov '16

Sehr geehrte Damen und Herren, Liebe Alle, anbei drei CFP zu Mixed Methods für die kommende ISA RC33 Regional Conference on Social Science Methodology in Taipei, Taiwan (September 11-14, 2017) sowie die 7th Conference of the European Survey Research Association in Lissabon, Portugal (July 17-21, 2017). Mit freundlichen Grüßen Felix Knappertsbusch -- Dr. Felix Knappertsbusch Justus-Liebig-University, Giessen Institute of Sociology Research Assistant at the Chair for International Comparative Social Research Methods (Prof. Dr. Elmar Schlüter) Karl-Glöckner-Str. 21E 35394 Giessen Germany Phone: +49/(0)641/99-23245 Email: felix.knappertsbusch(a)sowi.uni-giessen.de Web: http://www.uni-giessen.de/cms/fbz/fb03/institute/ifs/prof/internat/teamalle…

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CfP "Different methods, same results?", 7th Conference of the European Survey Research Association (ESRA)
by Jochen Mayerl 04 Nov '16

04 Nov '16

Liebe Alle, anbei der Call-for-Papers für die Session Different methods, same results? Comparing the consequences of alternative methods of data collection and analysis" im Kontext der ESRA-Konferenz 2017 in Lissabon wir freuen uns über Vortragsangebote! Freundliche Grüße, Jochen Mayerl & Elmar Schlüter ****** Jun.-Prof. Dr. Jochen Mayerl TU Kaiserslautern Fachbereich Sozialwissenschaften Fachgebiet Empirische Sozialforschung Erwin-Schrödinger-Str. 57 67663 Kaiserslautern Tel. 0631-205-4969 jochen.mayerl(a)sowi.uni-kl.de www.sowi.uni-kl.de/empirische-sozialforschung/startseite/

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Methoden