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Ausschreibung JProf. Angewandte Soziologie TU Kaiserslautern
by Henning Best 11 Dec '15

11 Dec '15

Liebe Kolleginnen und Kollegen, an der TU Kaiserslautern ist eine Juniorprofessur (W1) für “Angewandte Soziologie” ausgeschrieben (siehe Anhang). Ich würde mich freuen, wenn Sie die Ausschreibung an geeignete Kandidatinnen und Kandidaten weiterleiten könnten. Bewerbungsschluss ist der 15.1.2016. Danke und viele Grüße, Henning Best Im Fachbereich Sozialwissenschaften der TU Kaiserslautern ist voraussichtlich zum Wintersemester 2016/17 eine: Juniorprofessur (W1) für „Angewandte Soziologie“ zu besetzen. Der Forschungsschwerpunkt der Stelleninhaberin oder des Stelleninhabers kann in der Sozialstrukturanalyse, der Einstellungs- und Verhaltensforschung, der Umwelt- und Techniksoziologie oder der international vergleichenden Sozialforschung liegen. Eine empirisch-quantitative Ausrichtung und Orientierung an der erklärenden bzw. analytischen Soziologie sowie Anschlussfähigkeit im Fachbereich wird erwartet. Zum Aufgabengebiet der Juniorprofessur in der Lehre gehören neben der Ausbildung von Studierenden des Studiengangs „Integrative Sozialwissenschaft“ auch Teile der bildungswissenschaftlichen Ausbildung von Lehramtsstudierenden. Die Befähigung und Bereitschaft zur interdisziplinären Zusammenarbeit wird vorausgesetzt. Die Stelleninhaberin oder der Stelleninhaber soll das Fachgebiet in Forschung und Lehre vertreten. Bewerberinnen und Bewerber sollten neben einer abgeschlossenen Promotion die Befähigung zur wissenschaftlichen Arbeit durch (internationale) referierte Publikationen im Fachgebiet demonstriert haben. Von den Bewerberinnen und Bewerbern werden weiterhin besondere didaktische Fähigkeiten und Erfahrungen in der Lehre erwartet. Ein Lehrportfolio ist mit den Bewerbungsunterlagen einzureichen. Nähere Auskünfte erhalten Sie von Prof. Dr. Henning Best (best(a)sowi.uni-kl.de) Die Besetzung der Stelle erfolgt im Beamtenverhältnis auf Zeit für drei Jahre und kann nach positiver Evaluation um weitere drei Jahre verlängert werden. Neben den allgemeinen dienstrechtlichen Voraussetzungen gelten die in § 54 des Hochschulgesetzes Rheinland-Pfalz geregelten Einstellungsvoraussetzungen. Der Text ist auf der Homepage der TU Kaiserslautern hinterlegt (http://www.uni-kl.de/universitaet/verwaltung/ ha-1/ha1-rechtsvorschrift/). Das Land Rheinland-Pfalz und die TU Kaiserslautern vertreten ein Betreuungskonzept, bei dem eine hohe Präsenz der Lehrenden am Hochschulort erwartet wird. Die Bereitschaft zur Mitarbeit an der Verwaltung der Hochschule wird vorausgesetzt. Das Auswahlverfahren wird an die Bestimmungen des Hochschulgesetzes Rheinland-Pfalz über die Berufung von Professorinnen und Professoren angelehnt. Die TU Kaiserslautern ermutigt qualifizierte Akademikerinnen nachdrücklich, sich zu bewerben. Bewerberinnen und Bewerber mit Kindern sind willkommen. Schwerbehinderte werden bei entsprechender Eignung bevorzugt eingestellt (bitte Nachweis beifügen). Bewerbungen mit Lebenslauf, Zeugnissen, Publikationsverzeichnis, Lehrportfolio sowie den bisherigen Forschungsaktivitäten richten Sie bitte bis zum 15. Januar 2016 an die Dekanin des Fachbereiches Sozialwissenschaften der TU Kaiserslautern, Postfach 3049, 67653 Kaiserslautern.

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CFP: Challenges of Mixed Methods Data Analysis
by Knappertsbusch, Felix 09 Dec '15

09 Dec '15

Sehr geehrte Mitglieder der Mailingliste, ich möchte Sie auf den CFP zu einer Session aufmerksam machen, die ich gemeinsam mit Andrea Hense, Tobias Gebel und Franziska Schork auf der kommenden Konferenz des RC33 der International Sociological Association (Leicester, September 2016) organisiere. Das Thema lautet "Challenges of Mixed Methods Data Analysis and Interpretation". Im Anhang finden Sie den entsprechenden CFP. Die Deadline für Abstracts ist der 21. Januar 2016. Wir freuen uns auf Ihre Vorschläge! Mit freundlichen Grüßen Felix Knappertsbusch Dear mailing list members, please note the attached CFP regarding a session I will be organizing together with my colleagues Andrea Hense, Tobias Gebel, and Franziska Schork at the upcoming conference of the RC33 (International Sociological Association) at Leicester (September 2016). The topic is: "Challenges of Mixed Methods Data Analysis and Interpretation". The deadline for abstract submission is 21st January 2016. We are looking forward to your proposals! Kind Regards 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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Call for Papers: Using Photographs, Maps and Other Non-Moving Visual Data in Social Research Processes
by Thierbach, Cornelia 08 Dec '15

08 Dec '15

Call for Papers for the Session Using Photographs, Maps and Other Non-Moving Visual Data in Social Research Processes at the 9th International Conference on Social Science Methodology (RC33), University of Leicester (United Kingdom) Conference Date: September 11th - 16th, 2016 Submission Deadline for Papers: 21st January, 2016 Conference Website http://www2.le.ac.uk/departments/sociology/research/rc33-conference/rc33-co… Please find further information on ISA RC33 (Research Committee on Logic & Methodology of the International Sociology Association) on http://www.rc33.org/ Session Topic This session aims at discussing how to use and integrate non‐moving visual data (especially photographs, maps, pictures, mechanical drawings, paintings, etc.) in the research process. Drawing on the visual resp. iconic turn (during the mid‐1990s) we are interested in why and how social scientists (among others) utilize this kind of data to explore social phenomena and social processes, e.g. as a mean for data collection and analysis, for illustration purposes or as evidence to prove their theoretical hypotheses. Papers should address one of the following questions either at a more general methodological level or using a concrete example of a specific research project: (1) How and why can non‐moving visual data be used to broaden the empirical basis for certain research questions? (2) For each specific data type (e.g. photographs or maps), it is important to ask about their specific characteristics and how they affect interpretation. For which kind of theoretical and thematic research questions is this kind of data suitable and how can it be analysed? (3) Where and how can non‐moving visual data be collected? Which sampling strategies can be applied and how does it affect the generalization of results? What are the advantages and disadvantages of collecting and analysing this type of data? (4) What are the specific data requirements and how can validity of this kind of data be assessed? (5) Which methods of data analysis are appropriate for non‐moving visual data? Session Convenors Cornelia Thierbach (cornelia.thierbach(a)tu-berlin.de<mailto:cornelia.thierbach@tu-berlin.de>) & Linda Hering (linda.hering(a)tu-berlin.de<mailto:linda.hering@tu-berlin.de>) How to Submit an Abstract 1. To submit a paper abstract for any session of the RC33 9th International Conference on Social Science Methodology, you should visit: http://www2.le.ac.uk/departments/sociology/research/rc33-conference/rc33-co…. After landing on the homepage, navigate to ‘Abstract Submission’, which appears in the top left hand column of the webpage, see image below: [cid:image001.png@01D131BA.3E29A610] 2. Complete the form in full. You may wish to cut and paste your abstract into the Abstract field from another document. 3. Choose the relevant session for your stream. To do so you will need to select the relevant lead session organiser from the drop-down menu highlighted in the image below. To check you are submitting to the correct session, you can view a table of sessions and session convenors by clicking the link entitled ‘View the list of sessions and session convenors’. Once complete, click submit. [cid:image005.png@01D131BA.98666320][cid:image006.jpg@01D131BA.98666320]

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Call - Methods for Improving Causal Inference in the Social Sciences, RC33 ( 11-16 Sep, Leicester)
by Jochen Mayerl 08 Dec '15

08 Dec '15

Liebe Mitglieder der Methodensektion, anbei möchten wir Sie auf einen Call for Papers für die kommende RC33-Konferenz am 11.-16.9.2016 in Leicester aufmerksam machen. Der Titel der Session ist Methods for Improving Causal Inference in the Social Sciences. Weitere Details können Sie dem Anhang entnehmen. Wir freuen uns auf eine rege Teilnahme! Mit besten Grüßen, Jochen Mayerl und Volker Stocké ********* Jun.-Prof. Dr. Jochen Mayerl TU Kaiserslautern Fachbereich Sozialwissenschaften Fachgebiet Empirische Sozialforschung Erwin-Schrödinger-Str., Gebäude 57, Raum 468 67663 Kaiserslautern Tel.: 0631-205-4969 Fax: 0631-205-2012 <mailto:jochen.mayerl@sowi.uni-kl.de> jochen.mayerl(a)sowi.uni-kl.de <http://www.sowi.uni-kl.de/empirische-sozialforschung/startseite/> http://www.sowi.uni-kl.de/empirische-sozialforschung/startseite/

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Fwd: Ausschreibung Doktorandenstelle 65%
by Prof. Dr. Stefanie Eifler 06 Dec '15

06 Dec '15

Liebe Kolleginnen und Kollegen, ich habe an der TU Kaiserslautern eine Doktorandenstelle ausgeschrieben ( 65%, drei Jahre - siehe Anhang) Ich würde mich freuen, wenn Sie die Ausschreibung an geeignete Kandidaten weiterleiten könnten. Danke und viele Grüße, Henning Best

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Verlängerung der Anreichungsfrist für 4. DAGStat-Tagung (DAGStat 2016)
by Stefanie Eifler 02 Dec '15

02 Dec '15

*Extended deadline for submitting papers to the 4th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik "Statistics under one Umbrella" (DAGStat 2016)* We cordially invite you to register for the 4th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik (DAGStat 2016) from March 14 to 18, 2016, in Göttingen. *The deadline for submission of abstracts was extended to December 15, 2015.* 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 aim of the conference. This is reflected by embedding three important annual meetings, the 62. “Biometrisches Kolloquium” (German Region of the International Biometric Society), the 40. “Jahrestagung der Gesellschaft für Klassifikation” (German Classification Society) and the “Pfingsttagung der Deutschen Statistischen Gesellschaft” (German Statistical Society). For the conference the following speakers agreed to give a plenary talk. Aurore Delaigle (University of Melbourne) Hans Rudolf Künsch (ETH Zürich) Simon Thompson (University of Cambridge) Adalbert Wilhelm (Jacobs University Bremen) Tutorials will be offered about the following topics Event Data Analysis" (Robin Henderson) Evidence Synthesis" (Guido Knapp, Gerta Rücker, Guido Schwarzer) Copulae in Practice" (Ostap Okhrin) Integer-valued Time Series" (Christian Weiß). Special topics and invited speakers of the conference will be: * Rosemary Bailey (Design of Experiments) * Andreas Buja (Visualisation and Exploratory Data Analysis) * Ying Cheng (Psychometrics) * Gerda Claeskens (Mathematical Statistics in Life Science) * Sandrine Dudoit (Statistics of High Dimensional Data) * Peter Goos (Statistics in Natural Sciences and Technology) * Patrik Guggenberger (Empirical Economics and Applied Econometrics) * Marc Hallin (Robust and Nonparametric Statistics) * Larry Hedges (Research Synthesis and Meta Analysis) * Georg Heinze (Education for Statistics in Practice) * Robin Henderson (Survival and Event History Analysis) * Joop Hox (Multilevel and Panel Data Analysis) * Beat Hulliger (Official Statistics and Survey Statistics) * Thomas Lengauer (Bioinformatics) * Marloes Maathuis (Graphical Models and Causal Inference) * Masahiro Mizuta (Cluster Analysis and Classification) * Byron Morgan (Statistics in Agriculture and Ecology) * Morten Ørregaard Nielsen (Time Series Analysis) * Edzer Pebesma (Computational Statistics and Statistical Software) * Jose M. Pena (Machine Learning) * Lawrence Phillips (Methods for Risk and Benefit Assessment) * Stuart Pocock (Statistics in Clinical and Preclinical Research) * Bertram Raum (Destroying data as a means of data protection - is it ethical?) * Yves Rosseel (Structural Equation Modelling) * Håvard Rue (Penalized and Regularized Regression Analysis) * Olivier Scaillet (Statistics in Finance) * Max Welling (Big Data and Data Science) Online registration and submission of abstracts is possible via the conference homepage *http://www.uni-goettingen.de/dagstat2016* There are still plenty of hotel rooms available. Also a list of private rooms can be send to you via this email: <zimmerreservierung(a)goettingen.de>zimmerreservierung(a)goettingen.de. These rooms are often cheaper. A booking tool and a link to the Göttingen tourismus office is located on the website under "accommodation". link to accommodation <http://www.uni-goettingen.de/de/501582.html> We are looking forward to welcoming you in Göttingen next year, Thomas Kneib and Henriette Irmer, on behalf of the local organizing committee.

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CfA session "Testing the Behavioral Validity of Survey Experiments" at 9th RC33 Conference, University of Leicester, 2016
by Knut Petzold 24 Nov '15

24 Nov '15

Dear colleagues, we want to draw your attention to the session "Testing the Behavioral Validity of Survey Experiments" at the 9th International Conference on Social Science Methodology (RC33 Conference) in Leicester, 11-16 September 2016. ------------------- Call for Abstracts ------------------- 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 outcome 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? ------------------- We are awaiting your abstract submissions (max 5.000 characters) until 21st January, 2016. If you plan to submit an abstract please use the online submission system http://www2.le.ac.uk/departments/sociology/research/rc33-conference following the steps described in the file attached. Best wishes, Knut Petzold & Volker Lang -- Dr. Knut Petzold Akademischer Rat a.Z. Department of Sociology Catholic University of Eichstätt-Ingolstadt +49 8421 93 21743 -- Volker Lang Bielefeld University Department of Sociology Lockbox 10 01 31 D-33501 Bielefeld DIW Berlin Mohrenstraße 58 D-10117 Berlin

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CfP 3MC 2016 Chicago, Session "Innovative tools in computer-assisted survey measurement: opportunities and challenges"
by Schneider, Silke 19 Nov '15

19 Nov '15

***apologies for cross-postings*** Dear colleagues, we are looking forward to your abstract submission (max. 400 words) for the session "Innovative tools in computer-assisted survey measurement: opportunities and challenges" at the Second International Conference on Survey Methods in Multinational, Multiregional and Multicultural Contexts (3MC) in Chicago, USA July 25 - 29, 2016 Session Organizers: * Silke Schneider, silke.schneider(a)gesis.org<mailto:silke.schneider@gesis.org>, Senior Researcher and Consultant, Department Survey Design and Methodology, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany * Verena Ortmanns, verena.ortmanns(a)gesis.org<mailto:verena.ortmanns@gesis.org>, Junior Researcher, Department Survey Design and Methodology, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany * Roberto Briceno-Rosas, Roberto.Briceno-Rosas(a)gesis.org<mailto:Roberto.Briceno-Rosas@gesis.org>, Junior Researcher, Department Survey Design and Methodology, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany Session Abstract: No survey today is conducted without the support of computers. Especially the use of computers for data collection itself, i.e. computerized questionnaire administration, is the state of the art: routing through the questionnaire is automatic for the interviewer or respondent, some consistency checks can be performed "on the fly", and there is no need for separate data entry. Another example is adaptive testing, widely used in educational studies, where items are administered depending on performance on earlier items. However, the survey community is not even close to exhausting the opportunities offered by computer-assisted interviewing, and efforts to improve methods and technology in this area are scattered and uncoordinated. With this session, we would like to bring together researchers and practitioners thinking about and developing "tools" for computer-assisted survey measurement, with a potential for cross-national usage. This will allow people working in different areas to present their innovative ideas, discuss challenges, learn from each other, and possibly identify opportunities for future collaboration. As an example, we will present the CAMCES project (Computer Assisted Measurement and Coding of Educational Qualifications in Surveys), running at GESIS - Leibniz Institute for the Social Sciences, Mannheim, from 2013 to 2016. It has developed and tested an international database of educational qualifications, a universal coding scheme for educational attainment, a questionnaire module available in (at least) 5 languages, and a software interface to allow database searches in the questionnaire and provide context-sensitive (i.e. corresponding to the country in which respondents received their education) response categories to respondents. This will improve measurement quality for the (pivotal) education item in several ways, for example by allowing migrants to report the educational qualification they have actually achieved rather than guessing at some face value 'equivalent' in the survey country; by measuring at a detailed level so as to not confuse respondents with abstract aggregations of educational qualifications on long show cards and losing a substantial amount of information for analysis; and by standard coding routines for harmonization into various comparative education coding schemes during data processing, which could improve cross-survey and cross-national consistency. For further details, see http://www.gesis.org/en/research/external-funding-projects/projektuebersich… How to submit a paper abstract ------------------------------ 1. To submit a paper abstract for the 3MC conference 2016, you should visit: https://www.csdiworkshop.org/index.php/3mc-2016/submit-abstract 2. Complete the form in full. You may wish to cut and paste your abstract into the Abstract field from another document. 3. Please indicate the session title and organizers in the topic field. Once complete, click submit. The submission deadline is January 15th. Do not hesitate to contact us if you have any questions. Best wishes, Silke Schneider, Verena Ortmanns and Roberto Briceno-Rosas -- Dr. Silke Schneider Senior researcher and consultant GESIS - Leibniz Institute for the Social Sciences Survey Design and Methodology P.O. Box 12 21 55 68072 Mannheim Germany silke.schneider(a)gesis.org<mailto:silke.schneider@gesis.org> Tel: +49 621 1246 556 Fax: +49 621 1246 100

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Stellenausschreibung MZS Göttingen
by Stefanie Eifler 17 Nov '15

17 Nov '15

Liebe Kollegen und Kolleginnen, anbei eine Stellenausschreibung, die für Sie von Interessen sein könnte, weitergeleitet von Steffen Kühnel. Mit besten Grüßen, Stefanie Eifler

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CfP RC33 2016, Session "Measuring social structure in surveys"
by Schneider, Silke 16 Nov '15

16 Nov '15

***apologies for cross-postings*** Dear colleagues, we are looking forward to your abstract submission for the session "Measuring social structure in surveys" at the 9th International Conference on Social Science Methodology (RC33 Conference 2016) in Leicester, UK 11-16 September 2016 Session Organizers: * Silke Schneider, silke.schneider(a)gesis.org<mailto:silke.schneider@gesis.org>, Senior Researcher and Consultant, Department Survey Design and Methodology, GESIS – Leibniz Institute for the Social Sciences, Mannheim, Germany * Eric Harrison, Eric.Harrison.2(a)city.ac.uk<mailto:Eric.Harrison.2@city.ac.uk>, Senior Research Fellow, Department of Sociology, Centre for Comparative Social Surveys, City University London, UK Session Abstract: The individuals’ position in in the social structure of a society is characterised by a number of concepts, such as socio-economic status, social class, educational attainment, employment status, ethnicity, migration background, marital status, and last but not least age and sex. Some of these are the most used variables in survey based research. Given that for most researchers these are ‘only’ control variables, they are often referred to as ‘background variables’. Measuring individuals’ position in society by means of survey research is of key interest for both academic and policy-related survey research at the national and international levels. Firstly, researchers often want to present descriptive data separately for specific socio-economic or demographic groupings of interest. Secondly, in multivariate analyses of relationships amongst other variables, they need to control for respondents’ socio-economic and demographic characteristics. Thirdly, they may even want to test hypotheses in the area of social stratification research, i.e. using elements of the individuals’ position in society as a ‘main’ variable of interest. In order to do this effectively and permit cumulating research results, surveys need to provide reliable, valid and comparable measures of respondents’ position in the social structure. Comparability can be over time (especially cohorts), space (especially countries), as well as survey projects. While there are only few standard data collection instruments and some coding frameworks for such measures, many survey projects and researchers have put a lot of effort and consideration into the measurement of individuals’ position in society. This session invites papers that reflect on the conceptualisation, data collection, harmonisation and coding of the individuals’ socio-structural position in mono-cultural and cross-cultural, longitudinal and cross-sectional surveys. We particularly welcome papers presenting critical appraisals and innovative solutions to problems of comparative conceptualisation, data collection, harmonisation and analysis. This session intends to bring together researchers and practitioners working with different surveys to facilitate a debate across survey programmes and between data producers and data users. How to submit a paper abstract ------------------------------ 1. To submit a paper abstract for the RC33 9th International Conference on Social Science Methodology, you should visit: http://www2.le.ac.uk/departments/sociology/research/rc33-conference After landing on the homepage, navigate to "Abstract Submission", which appears on the top left hand column of the webpage. 2. Complete the form in full. You may wish to cut and paste your abstract into the Abstract field from another document. 3. Choose the relevant session for your stream. To do so you will need to select the relevant lead session organiser from the drop-down menu. To check you are submitting to the correct session, you can view a table of sessions and session convenors by clicking the link entitled "View the list of sessions and session convenors". Once complete, click submit. The submission deadline is January 21st. Do not hesitate to contact us if you have any questions. Best wishes, Silke Schneider and Eric Harrison -- Dr. Silke Schneider Senior researcher and consultant GESIS - Leibniz Institute for the Social Sciences Survey Design and Methodology P.O. Box 12 21 55 68072 Mannheim Germany silke.schneider(a)gesis.org<mailto:silke.schneider@gesis.org> Tel: +49 621 1246 556 Fax: +49 621 1246 100

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