Methoden November 2016

methoden@mailman.uni-konstanz.de

15 participants
20 discussions

CfP ESRA 2017 'Testing the Behavioral Validity of Survey Experiments'
by Knut Petzold 30 Nov '16

30 Nov '16

+++ Apologies for cross-posting +++ We invite subnissions to the session 'Testing the Behavioral Validity of Survey Experiments' at the 7th Conference of the European Survey Research Association (ESRA), Lisbon, Portugal, July 17th-21st, 2017. The deadline for paper abstracts is December 4th, 2016. Many survey experiments, such as factorial surveys, conjoint analyses or choice experiments are designed to measure behavioral intentions. However, there is an ongoing discussion how well intentions measured by such experiments correspond with actual behavior. Especially, it remains an important open research question how and to what extent the levels and determinants of behavioral intentions and choices made in actual decision situations are related. Even given high quality measurements of intentions by survey experiments testing the behavioral validity of these intentions is challenging. First, actual behavioral alternatives are restricted by non-experimental set environmental conditions. Hence, the relevance of intentions for behavioral outcomes depends on the situational context. Second, survey data on behavioral outcomes are often prone to unobserved heterogeneity. Finally, it is often a practical challenge to collect data on intentions and comparable actual behavior, in particular of the same sample of participants. This session addresses issues linked to cross-validating experimentally measured intentions in surveys with corresponding behavioral data. Welcome are all contributions discussing theoretical models, empirical designs, analytic strategies and exemplary applications aiming to overcome related problems. In particular we invite papers dealing with at least one of the following questions: Which theoretical models are useful to specify the relationship between intentions and actual behavior in a general and empirical testable fashion? Which empirical designs can help to test the behavioral validity of intentions? Which data sources can serve as behavioral benchmark for validating intentions? What are the advantages and limitations of a validation strategy using declared behavior in surveys? What are the advantages and limitations of a validation strategy using observed behavior in laboratory or field experiments? What are the advantages and limitations of a validation strategy using observed behavior in natural situations? Which validation strategies are appropriate in which circumstances? In which situations and under which conditions is it appropriate to measure behavioral intentions using survey experiments? The paper abstracts for the 7th ESRA conference consist of a short abstract (max. 100 words) and a long abstract (max. 500 words) and the deadline for paper abstract submissions is December 4th, 2016. To submit a paper abstract for this session please create an account and log in to the ESRA conference management system at http://www.europeansurveyresearch.org/conferences/register , create a new paper abstract, choose experiments as topic area and select Testing the Behavioral Validity of Survey Experiments from the list of available sessions. Knut Petzold & Volker Lang

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CfP ESRA "Quantitative Spatial Analysis of Micro and Macro Data: Methodological Challenges and Solutions"
by Henning Best 30 Nov '16

30 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. Please submit paper abstracts by 4th December 2016! 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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FW: CFP „Measuring and modeling response behavior and response quality in web surveys “
by Jean Philippe Pierre DECIEUX 29 Nov '16

29 Nov '16

Liebe Mitglieder der Mailingliste, 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) schließt diesen Sonntag (4.12.2016). Wir würden uns über weitere interessante Einreichungen freuen. Liebe Grüße 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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Fwd: DFG-Fächersystematik für Fachkollegienwahl 2019
by Prof. Dr. Stefanie Eifler 28 Nov '16

28 Nov '16

Liebe Kollegen und Kolleginnen, der Vorstand der DGS hat die folgende Anfrage an uns gerichtet. Ich möchte daraufhin gern ein Meinungsbild für die Sektion Methoden der empirischen Sozialforschung erarbeiten. Hierzu bitte ich Sie/Euch um kurze Stellungnahmen zur DFG-Fächersystematik möglichst bis zum 9.12.2016. Bitte schicken Sie/schickt Ihre/Eure Stellungnahmen direkt an Anke Regensburger, die Sekretärin in meinem Arbeitsbereich (siehe cc). - Danke! Mit besten Grüßen, Stefanie Eifler -------- Weitergeleitete Nachricht -------- Betreff: DFG-Fächersystematik für Fachkollegienwahl 2019 Datum: Tue, 22 Nov 2016 16:39:17 +0000 Von: Sonja Schnitzler <Sonja.Schnitzler(a)kwi-nrw.de> An: Sonja Schnitzler <Sonja.Schnitzler(a)kwi-nrw.de> Sehr geehrte DFG-Fachkollegiat/innen der derzeitigen und der vergangenen Amtsperiode, sehr geehrte Sprecherinnen und Sprecher der DGS-Sektionen, in Vorbereitung der DFG-Fachkollegienwahl 2019 bittet die Deutsche Forschungsgemeinschaft die DGS um Stellungnahme zu ihrer Fächersystematik. Nach den Erfahrungen der Fachkollegien und den Fortentwicklungen einzelner Fächer soll seitens des DFG-Senats geprüft werden, ob eine Aktualisierung und Schärfung der Fächerkonturen erforderlich ist und mit wie vielen Fachvertreter/innen ein Fach repräsentiert sein sollte. Sie finden die aktuelle Fächersystematik im Anhang. Sollten Sie zu dieser Stellung nehmen wollen, bittet Sie Stephan Lessenich herzlich darum, dies bis zum 07. Januar 2017 über eine Rückmeldung an mich (sonja.schnitzler(a)kwi-nrw.de <mailto:sonja.schnitzler@kwi-nrw.de>) zu tun. Der DGS-Vorstand wird die Fächersystematik und Ihre ggfs. eingegangenen Rückmeldungen auf seiner nächsten Sitzung besprechen. Mit besten Grüßen von Stephan Lessenich, Sonja Schnitzler Dr. Sonja Schnitzler Leitung *Geschäftsstelle der Deutschen Gesellschaft für Soziologie (DGS)* www.soziologie.de <http://www.soziologie.de/> www.twitter.com/dgsoziologie <http://www.twitter.com/dgsoziologie> Kulturwissenschaftliches Institut Essen (KWI) Goethestraße 31 45128 Essen Fon +49 (0) 201-7204-208 Fax +49 (0) 201-7204-111 _sonja.schnitzler(a)kwi-nrw.de <mailto:sonja.schnitzler@kwi-nrw.de>_ www.kulturwissenschaften.de <http://www.kulturwissenschaften.de/> Die DGS bloggt: SozBlog. Bloggen Sie mit auf www.soziologie.de/blog <http://www.soziologie.de/blog> www.studium.org/soziologie <http://www.studium.org/soziologie>– Das DGS-Studienportal für Soziologie

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CfP ESRA 2017 - Deviations and Fraud in Surveys - the Impact of Motivation and Incentives
by Katrin Auspurg 17 Nov '16

17 Nov '16

We invite submissions to a session of the ESRA 2017 conference: *** Deviations and Fraud in Surveys - the Impact of Motivation and Incentives *** See below for more information on the session. The conference will take place in Lisbon, Portugal, July 17-21, 2017. For more information or to submit a paper, see: http://www.europeansurveyresearch.org/conference Please submit by December 4, 2016. Thank you very much for your attention, Katrin Auspurg, Thomas Hinz, Natalja Menold and Peter Winker (Organizers) *** Deviations and Fraud in Surveys – the Impact of Motivation and Incentives *** Keywords: Data Manipulation, Data Quality, Survey Errors, Motivation, Interviewer Effects Abstract: Credibility of social science was repeatedly jeopardized by recent and spectacular cases of deviant behavior in conducting surveys or fraud in presenting survey based research results. Several times researchers published path-breaking results that turned out to be 'too good to be true.' Because the incentive system in science commonly rewards originality higher than accurateness, most probably, the detected cases of making up data or trimming results are only the tip of the iceberg. What makes the situation in survey research even more complex is the fact that several actors are involved who have manifold incentives to manipulate data. These include the researchers, survey institutes, survey supervisors, interviewers and respondents. Contributions to the session will discuss the motivation, prevalence and implications of misbehavior of actors in survey research. Of interest are theoretical approaches and empirical studies on the motivation, detection and prevention of data manipulations. Strategies to detect fraud deserve specific attention, but we also welcome empirical work on causal mechanisms: Which conditions most likely trigger fraud? Which interventions could accordingly work? Some examples along the survey process highlight possible topics for the session: (1) Respondents often share an interest with the interviewers to save time by taking inaccurate short cuts in the questionnaires. Additionally, they are prone to provide false answers, for instance, if questions are sensitive. Both kinds of behavior yield inaccurate measurements. (2) Interviewers often may have a high discretion on many decisions in the process of conducting a survey (e.g. when selecting households in a random walk sample, by shortening the interview time through steering the respondents to filter options in questionnaires, or making up interviews (partly) from the scratch). The motivation for deviant behavior can be influenced by factors such as task difficulty, interviewers' ability, and experience, but also by the quality of questionnaires and instructions and other administrative characteristics of the survey. (3) Survey institutes often operate commercially under high cost and time pressure. In order to fulfill their contractual obligations to their clients they might have incentives to change, for instance, complex screening procedures without documenting, to manipulate statistics on non-response or even produce (near) duplicates to satisfy quota. (4) Finally, researchers in survey research can engage in questionable practices as well when they select cases and statistical models just in purpose to get most sensational results.

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Stellenausschreibung: Professur für Quantitative Lebensverlaufssoziologie; DZHW
by Tobias Wolbring 16 Nov '16

16 Nov '16

Liebe Kolleginnen und Kollegen, anbei eine Stellenausschreibung für eine Professur für quantitative Lebensverlaufssoziologie am DZHW in Hannover. 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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Stellenausschreibung infas Bonn - StatistikerIn
by Prof. Dr. Stefanie Eifler 16 Nov '16

16 Nov '16

Liebe Kollegen und Kolleginnen, anbei erhalten Sie eine Stellenausschreibung des infas Instituts in Bonn für eine/n Mitarbeiter/in im Bereich Statistik, die für Sie von Interesse sein könnte. Mit besten Grüßen, Stefanie Eifler

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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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Methoden November 2016