November 2016 - Methoden - mailman.uni-konstanz.de

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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CFP „Measuring and modeling response behavior and response quality in web surveys “
by Jean Philippe Pierre DECIEUX 03 Nov '16

03 Nov '16

Liebe Mitglieder der Mailingliste, anbei der Call for Papers für die Session „Measuring and modeling response behavior and response quality in web surveys “ im Rahmen der European Survey Research Association (ESRA) Conference (17‐21 Juli 2017 in Lissabon). Wir würden uns über zahlreiche Anmeldungen freuen. Liebe Güsse i. A. Jean Philippe Décieux Dr. Jean Philippe Pierre Décieux, Dipl. Kfm. FLSHASE - INSIDE Youth Research Research Associate Please visit our new website : http://www.jugend-in-luxemburg.lu Université du Luxembourg Faculté des Lettres, des Sciences Humaines, des Arts et des Sciences de l'Education Maison des Sciences Humaines 11, Porte des Sciences L-4366 Esch-sur-Alzette L-4366 Esch-sur-Alzette T.: ++ 352 46 66 44 9541 jeanphilippe.decieux(a)uni.lu<mailto:jeanphilippe.decieux@uni.lu> http://wwwen.uni.lu/research/flshase/inside

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CfP: SGS Kongress 2017
by Tobias Wolbring 03 Nov '16

03 Nov '16

Liebe Kolleginnen und Kollegen, anbei ein CfP zum SGS-Kongress 2017 in Zürich zum Thema "Gemeinwohl und Eigeninteresse". Beste Grüße Tobias Wolbring --- Prof. Dr. Tobias Wolbring Assistant Professor of Sociology with a specialization in Longitudinal Data Analysis Department of Sociology University of Mannheim A5, 6 D-68131 Mannheim Office: +49 621 181 1974 wolbring(a)uni-mannheim.de http://wolbring.uni-mannheim.de/

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Call for participation: registration for the 3rd Compuational Social Science Winter Symposium is open until November 14
by Weller, Katrin 02 Nov '16

02 Nov '16

Dear colleagues, we would like to point out that registration for the 3rd Compuational Social Science Winter Symposium will close on November 14. If you are planning to attend the symposium, please make sure to register on time. All the best Katrin ============================================================== CALL FOR PARTICIPATION: REGISTRATION CLOSES on NOVEMBER 14, 2016 ============================================================== 3rd GESIS COMPUTATIONAL SOCIAL SCIENCE WINTER SYMPOSIUM Cologne, Germany Symposium dates: NOV 30 + DEC 01, 2016 Website: http://www.gesis.org/css-wintersymposium/ Hashtag: #cssws16 ============================================================== ----------------------------------------- CONFIRMED KEYNOTE SPEAKERS ----------------------------------------- We are delighted to announce that the following keynote speakers will be giving talks at this years' CSS Winter Symposium: * Noshir CONTRACTOR (Northwestern University) * Tina ELIASSI-RAD (Northeastern University) * Marko GROBELNIK (Jožef Stefan Institute) * Krishna GUMMADI (Max Planck Institute for Software Systems) * Petter HOLME (Sungkyunkwan University) * Helen MARGETTS (University of Oxford) ------------------------------------------ ABOUT THE WINTER SYMPOSIUM ------------------------------------------ The GESIS CSS Winter Symposium 2016 is a two-day event consisting of: * an exciting program featuring a series of invited talks that will provide different perspectives on current advances and limitations of computational social science * 60 contributed posters and 12 short presentations selected in in open call for submissions, which showcase current work in the field of computational Social science * plenty of possibilities for interdisciplinary networking including an informal evening event at the famous Cologne Christmas markets Please check out the program via our website: http://www.gesis.org/css-wintersymposium/program/ ------------------------- IMPORTANT DATES ------------------------- November 14, 2016: registration deadline Nov 30 + Dec 01, 2016: symposium days ---------------------------- ORGANIZATION AND VENUE ---------------------------- The GESIS CSS Winter Symposium will take place at the heart of Cologne, at KOMED Im MediaPark 7. Visit http://www.gesis.org/css-wintersymposium/registration/ for information about registration and fees. ------------ CONTACT ------------ SYMPOSIUM CHAIRS: ----------------- Prof. Dr. Markus Strohmaier GESIS Leibniz Institute for the Social Sciences Computational Social Science Department Unter Sachsenhausen 6-8 D-50667 Köln Germany E-mail: markus.strohmaier(a)gesis.org<mailto:markus.strohmaier@gesis.org> Phone: +49 (221) 47694-225 Dr. Katrin Weller GESIS Leibniz Institute for the Social Sciences Computational Social Science Department Unter Sachsenhausen 6-8 D-50667 Köln Germany E-mail: katrin.weller(a)gesis.org<mailto:katrin.weller@gesis.org> Phone: +49 (221) 47694-472

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