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ESRA 2019: CfA "Causality in Health Inequalities Research: New Solutions to Old Challenges?"
by Katharina Loter 01 Oct '18

01 Oct '18

Dear Colleagues, we would like to draw your attention to the call for abstracts for our session: Causality in Health Inequalities Research: New Solutions to Old Challenges? at the ESRA Conference 2019 in Zagreb, Croatia. 8th Conference of the European Survey Research Association: 15th-19th July 2019 in Zagreb, Croatia https://www.europeansurveyresearch.org/conferences/call_for_abstracts Session: Causality in Health Inequalities Research: New Solutions to Old Challenges? https://www.europeansurveyresearch.org/conferences/sessionCategories?sess=1… Deadline for Abstracts: 18th November 2018, abstract (max. 300 words) Session details: Questions that motivate most studies on the emergence and reproduction of health inequalities over the life course are longitudinal and causal in nature. Fortunately, after several decades of socio-epidemiological research that produced numerous cross-sectional (and thus associational) findings, the need for studies aiming at disentangling causal effects and mechanisms from non-causal associations is becoming increasingly recognized. Especially, attempts to estimate causal effects of social background variables (e.g., marital and family status or occupational status) and/ or life changing events (e.g., pregnancy, separation and divorce, death of a family member, retirement) on health over time – including selection and reverse causality – have to be undertaken using advanced data structures and analytical techniques suited for causal inference. Following recent developments in causal theory including directed acyclic graphs (DAG), new opportunities for innovative health research are being generated by the increasing availability of rich panel data with multiple times of observation and different types of health measures (biomarkers, fitness tracker data, results of objective medical tests, and a variety of subjective indicators). Nonetheless, causal analyses on health inequalities over time remain challenging for many reasons, and one of them is health being a strong predictor of attrition in panel studies (due to nonresponse or death). Several analytical approaches have been proposed as a remedy for the manifold challenges regarding causal inference in health research. The first one deals with health-related self-selection as a missing data problem and uses techniques for correcting causal effect estimates such as weighting or dropout models for nonignorable nonresponse (e.g., Heckman selection models). The second one focuses on reducing unobserved heterogeneity (e.g., via instrumental variables, propensity score matching, fixed-effects regression). The third one places emphasis on testing potential intervening mechanisms (mediator and suppressor effects). The fourth one corresponds with the use of agent-based modeling (e.g., with SIENA) enabling simultaneous estimation of selection and causation effects in a social network framework. Finally, the consideration of measurement error while dealing with latent variables may serve to adjust causal effect estimates for (lack of) reliability. In the light of the above challenges, we invite submissions applying any of the mentioned approaches (or other innovative analysis techniques) with the goal to improve understanding of causality and selection in (preferably longitudinal) research on health inequalities. Welcome are contributions that aim at unraveling the causal complexity between social background variables and/ or life course transitions and events, and any kind of objective or subjective health outcome. Best wishes, Katharina Loter & Oliver Arránz Becker Martin-Luther-University Halle-Wittenberg

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Call for abstracts GESIS Symposium “Fieldwork Monitoring Strategies for Interviewer-Administered Surveys” 23.01-24.01.2019 in Mannheim
by Meitinger, Katharina 26 Sep '18

26 Sep '18

***Apologies for cross-posting*** Dear colleagues, We would like to invite you to submit abstracts to the Symposium on “Fieldwork Monitoring Strategies for Interviewer-Administered Surveys” taking place on 23-24 January 2019 at the University of Mannheim (organized by GESIS). The symposium provides a platform for scientific exchange on various aspects of fieldwork monitoring, in particular for researchers planning to submit an article for the related Special Issue in Survey Methods: Insights from the Field (SMIF)<https://surveyinsights.org/wp-content/uploads/2018/07/Special-Issue_Fieldwo…>. In addition to scientific presentations, the symposium features two keynotes by James Wagner (University of Michigan) and Annette Scherpenzeel (SHARE, Munich Center for the Economics of Aging). Please visit www.gesis.org/symposium-fieldmonitoring<http://www.gesis.org/symposium-fieldmonitoring> for detailed information on the Symposium. We invite presentations that address the following aspects: * discuss key performance indicators of fieldwork monitoring * discuss fieldwork monitoring strategies * discuss measures and interventions during data collection * discuss the applicability of responsive design strategies * discuss visualization and error detection strategies * give best practice advice based on field monitoring strategies of large-scale surveys How to submit an abstract: We encourage proposals from researchers from a variety of backgrounds. Abstracts (max. 500 words) or full papers should be submitted via email to symposium-fieldmonitoring(a)gesis.org by 1 November 2018. Please provide the title of the (working) paper, author names, and affiliations with your abstract. You will receive acceptance notification by 15 November 2018. We are looking forward to your submissions and welcoming you in Mannheim, Katharina Meitinger & Henning Silber

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Call for Abstracts Symposium “Fieldwork Monitoring Strategies for Interviewer-Administered Surveys” 23.01.-24.01.2019 in Mannheim
by Meitinger, Katharina 26 Sep '18

26 Sep '18

Dear colleagues, We are pleased to announce the Symposium on “Fieldwork Monitoring Strategies for Interviewer-Administered Surveys” taking place on 23-24 January 2019 at the University of Mannheim (organized by GESIS). The symposium provides a platform for scientific exchange on various aspects of fieldwork monitoring, in particular for researchers planning to submit an article for the related Special Issue in Survey Methods: Insights from the Field (SMIF)<https://surveyinsights.org/wp-content/uploads/2018/07/Special-Issue_Fieldwo…>. In addition to scientific presentations, the symposium features two keynotes by James Wagner (University of Michigan) and Annette Scherpenzeel (SHARE, Munich Center for the Economics of Aging). We invite presentations that address the following aspects: * discuss key performance indicators of fieldwork monitoring * discuss fieldwork monitoring strategies * discuss measures and interventions during data collection * discuss the applicability of responsive design strategies * discuss visualization and error detection strategies * give best practice advice based on field monitoring strategies of large-scale surveys How to submit an abstract: We encourage proposals from researchers from a variety of backgrounds. Abstracts (max. 500 words) or full papers should be submitted via email to symposium-fieldmonitoring(a)gesis.org by 1 November 2018. Please provide the title of the (working) paper, author names, and affiliations with your abstract. You will receive acceptance notification by 15 November 2018.

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DAGStat 2019: CfA "Working group: Latent variable modelling"
by Daniel Seddig 25 Sep '18

25 Sep '18

DAGStat 2019: CfA "Working group: Latent variable modelling" Dear Colleagues, we would like to invite you to submit an abstract for the working group "Latent variable modelling" at the 5th Conference of the Deutsche Arbeitsgemeinschaft Statistik (DAGStat 2019) from March 18 - 22, 2019, at LMU Munich. Online registration and submission of abstracts is possible via: https://www.dagstat2019.statistik.uni-muenchen.de/conference-details/news/in dex.html The deadline for abstract submission is November 18th 2018. Furthermore, we are happy to announce Prof. David Kaplan (University of Wisconsin - Madison) as an invited speaker of the working group. For special topics and invited speakers see: https://www.dagstat2019.statistik.uni-muenchen.de/scientific-programs/index. html Best regards Daniel Seddig (Universtity of Cologne & University of Zurich) and Timo von Oertzen (Bundeswehr University Munich) -- Dr. Daniel Seddig University of Cologne | Institute of Sociology and Social Psychology & University of Zurich | Department of Psychology (Statistical Consulting) <mailto:dseddig@uni-koeln.de> dseddig(a)uni-koeln.de <http://www.iss-wiso.uni-koeln.de/en/institute/staff/s/dr-daniel-seddig/> http://www.iss-wiso.uni-koeln.de/en/institute/staff/s/dr-daniel-seddig/

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ESRA 2019: CfA "Contemporary issues in the assessment of measurement invariance" (Seddig, Daniel)
by Daniel Seddig 25 Sep '18

25 Sep '18

ESRA 2019: CfA "Contemporary issues in the assessment of measurement invariance" (Seddig, Daniel) Dear Colleagues, we would like to invite you to submit an abstract for the session "Contemporary issues in the assessment of measurement invariance" at the 8th Conference of the European Survey Research Association, 15th-19th July 2019 in Zagreb, Croatia. To submit an abstract you must login to your ESRA account (or create a new account if you do not already have one) and then follow the instructions provided. Please note that it is only possible to submit two abstracts as the first author/presenter. Deadline for the submission is 18th November 2018. https://www.europeansurveyresearch.org/conferences/call_for_abstracts https://www.europeansurveyresearch.org/conferences/register Best regards Daniel Seddig (Universtity of Cologne & University of Zurich) Eldad Davidov (Universtity of Cologne & University of Zurich) Peter Schmidt (Universtity of Giessen) Session abstract: The assessment of the comparability of cross-national and longitudinal survey data is a prerequisite for meaningful and valid comparisons of substantive constructs across contexts and time. A powerful tool to test the equivalence of measurements is multiple-group confirmatory factor analysis (MGCFA). Although the procedures of measurement invariance (MI) testing seem to become increasingly used by applied researchers, several issues remain under discussion and are not yet solved. For example: (1) Can we trust models with small deviations (approximate MI)? Is partial MI sufficient? How should one deal with the lack of scalar MI, as is the case in many large-scale cross-national surveys? (2) How to decide whether a model with a high level of MI should be preferred over a model with a lower level of MI? Which fit indices should be used? (3) Is MI needed anyway and would it be best to start firstly with a robustness calculation? Recent approaches have tackled the issues subsumed under (1) and aimed at relaxing certain requirements when testing for measurement invariance (Bayesian approximate MI, Muthén and Asparouhov 2012; van de Schoot et al 203) or using the alignment method (Asparouhov and Muthén 2014). Furthermore, researchers addressed the issues subsumed under (2) and recommended the use of particular fit statistics (e.g., CFI, RMSEA, SRMR) to decide among competing models (Chen 2007). The question raised under (3) is a more general one and raises concerns about the contemporary uses of the concept of MI. Researchers (Welzel and Inglehart 2016) have argued that variations in measurements across context can be ignored, for example in the presence of theoretically reasonable associations of a construct with external criteria. This session aims at presenting studies that assess measurement invariance and/or address one of the issues listed above or related ones. We welcome (1) presentations that are applied and make use of empirical survey data, and/or that (2) take a methodological approach to address and examine measurement invariance testing and use for example Monte-Carlo simulations to study the above mentioned issues. -- Dr. Daniel Seddig University of Cologne | Institute of Sociology and Social Psychology & University of Zurich | Department of Psychology (Statistical Consulting) <mailto:dseddig@uni-koeln.de> dseddig(a)uni-koeln.de <http://www.iss-wiso.uni-koeln.de/en/institute/staff/s/dr-daniel-seddig/> http://www.iss-wiso.uni-koeln.de/en/institute/staff/s/dr-daniel-seddig/

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ESRA 2019: CfA "Structural equation modeling and the separation of within-unit change and between-unit variation in panel data" (Seddig, Daniel)
by Daniel Seddig 25 Sep '18

25 Sep '18

ESRA 2019: CfA "Structural equation modeling and the separation of within-unit change and between-unit variation in panel data" (Seddig, Daniel) Dear Colleagues, we would like to invite you to submit an abstract for the session "Structural equation modeling and the separation of within-unit change and between-unit variation in panel data" at the 8th Conference of the European Survey Research Association, 15th-19th July 2019 in Zagreb, Croatia. To submit an abstract you must login to your ESRA account (or create a new account if you do not already have one) and then follow the instructions provided. Please note that it is only possible to submit two abstracts as the first author/presenter. Deadline for the submission is 18th November 2018. https://www.europeansurveyresearch.org/conferences/call_for_abstracts https://www.europeansurveyresearch.org/conferences/register Best regards Daniel Seddig (Universtity of Cologne & University of Zurich) Elmar Schlueter (Universtity of Giessen) Nico Seifert (Martin Luther University Halle-Wittenberg) Session abstract: In many fields of social science, researchers analyze panel data to study change within the units of interest (e.g., persons, groups, organizations, or countries). However, it is not always clear whether the applied statistical models are suitable to identify a causal effect at the within-unit level. Especially the aspect of heterogeneity due to time and due to variation between units may blur statistical estimates and substantive interpretations (Voelkle & Wagner, 2017). In the sociological and econometric literature, between-unit heterogeneity has also been addressed as a problem of omitted unobserved confounders (e.g., Halaby, 2004; Wooldridge, 2002) and fixed-effects regression models (FEM) are recommended as a solution. Researchers have recently combined the advantages of structural equation modeling (SEM) and FEM by treating the time-invariant unobserved differences between units as latent random variables (e.g., Allison et al., 2017; Bollen & Brand, 2010; Hamaker et al., 2015). The idea of separating within- and between unit variability is not utterly new in SEM (e.g., in latent growth curve modeling) and many features of SEM seem adequate to address particular issues. For example: (1) The use of lagged dependent and lagged independent variables (2) Sequential exogeneity and reciprocal causality (3) Flexible specification and comparison/test of alternative models (4) Maximum likelihood estimation and handling of missing data This session aims at presenting studies that use SEM to address unobserved heterogeneity due to time and/or due to differences between units. We welcome (1) applied presentations that make use of survey panel data, and/or that (2) take a methodological approach to address one of the issues listed above or related ones for example by using Monte-Carlo simulations. -- Dr. Daniel Seddig University of Cologne | Institute of Sociology and Social Psychology & University of Zurich | Department of Psychology (Statistical Consulting) <mailto:dseddig@uni-koeln.de> dseddig(a)uni-koeln.de <http://www.iss-wiso.uni-koeln.de/en/institute/staff/s/dr-daniel-seddig/> http://www.iss-wiso.uni-koeln.de/en/institute/staff/s/dr-daniel-seddig/

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Call for abstracts ESRA 2019: Passive Smartphone Data Collection & Additional Tasks in Mobile Web Surveys
by Florian Keusch 25 Sep '18

25 Sep '18

***Apologies for cross-posting*** Dear colleagues, We would like to invite you to submit papers to our session on P*assive Smartphone Data Collection and Additional Tasks in Mobile Web Surveys: Willingness, Non-participation, Consent, and Ethics* at the ESRA Conference (July 15-19, 2019 in Zagreb). You can submit your abstract using the conference website: https://www.europeansurveyresearch.org/conferences/register The closing date for the submission of abstracts is *November 18, 2018*. Here is the abstract for our session: *Passive Smartphone Data Collection and Additional Tasks in Mobile Web Surveys: Willingness, Non-participation, Consent, and Ethics* Smartphones allow researchers to collect data through sensors such as GPS and accelerometers to study movement and passively collect data such as browsing history and app usage in addition to self-reports. Passive mobile data collection allows researchers to broaden the scope of the research questions that can be answered and can potentially decrease measurement errors and reduce respondent burden. However, there are issues of selectivity, representativeness, and ethics of collecting such data. Respondents have to be willing to provide access to sensor data or perform additional tasks such as downloading apps, taking pictures, and providing access to their smartphone's data. If respondents who are willing to engage in these tasks differ from nonwilling smartphone users, results based on passively collected data might be biased. Moreover, little to date is known about how to ask for informed consent in passive data collection studies. In this session, we aim to bring together empirical evidence on the state-of-the-art use of sensor measurement and other additional tasks on smartphones in combination with mobile web surveys. We welcome presentations of results from (large-scale) studies with diverse sensors and tasks from multiple countries and research settings. Possible topics can include: - current practice in collecting passive / smartphone sensor data - implementation, wording, and placement of consent questions - willingness to allow smartphone sensor measurements - willingness to perform additional tasks using smartphones - nonparticipation bias in studies using smartphone sensor measurements - ethical issues and privacy concerns when collecting passive data Looking forward to seeing you at the ESRA conference, Florian Keusch and Bella Struminskaya -- Florian Keusch Assistant Professor of Statistics and Methodology University of Mannheim A5, 6 (Entrance C) Room C213, 2nd floor 68159 Mannheim, Germany +49 (0)621 - 181 3214 f.keusch(a)uni-mannheim.de floriankeusch.weebly.com -- Florian Keusch Assistant Professor of Statistics and Methodology University of Mannheim A5, 6 (Entrance C) Room C213, 2nd floor 68159 Mannheim, Germany +49 (0)621 - 181 3214 f.keusch(a)uni-mannheim.de floriankeusch.weebly.com

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ESRA 2019: CfA "Towards Strong Evidence-Based Survey Methodology using Replications, Systematic Reviews, or Bayesian Approaches"
by Weiss, Bernd 24 Sep '18

24 Sep '18

ESRA 2019 - Call For Abstracts https://www.europeansurveyresearch.org/conferences/call_for_abstracts Session: Towards Strong Evidence-Based Survey Methodology using Replications, Systematic Reviews, or Bayesian Approaches https://www.europeansurveyresearch.org/conferences/sessionCategories?sess=4 Deadline: 18th November 2018 Dear Colleagues, we would like to draw your attention to the call for abstracts for our session "Towards Strong Evidence-Based Survey Methodology using Replications, Systematic Reviews, or Bayesian Approaches" at the 8th Conference of the European Survey Research Association, 15th-19th July 2019 in Zagreb, Croatia. Please submit an abstract (max. 300 words) to the session of your choice via the ESRA conference management system by 18th November 2018. To submit an abstract you must login to your ESRA account (or create a new account if you do not already have one) and then follow the instructions provided. Please note that it is only possible to submit two abstracts as the first author/presenter. Best regards, Bernd Weiss* Jessica Daikeler* Henning Silber* Michael Bosnjak+ * GESIS - Leibniz-Institute for the Social Sciences + Leibniz Institute for Psychology Information Session details: The conscientious, explicit and judicious use of current best empirical evidence in making decisions is the central paradigm of the evidence-based practice movement. This movement originated in the medical sciences but found its way in others disciplines like economics, social work and, to a much lesser extent, in survey methodology. The quality of the evidence can be evaluated according to various rating systems that distinguish between different levels of evidence. A common characteristic of these systems is that they value accumulated evidence based on full or partial replications higher than evidence based on a single (and singular) study. Furthermore, within the category of replicative studies, systematic reviews and meta-analysis are considered to promote the best available evidence -- with the gold standard for causal inference being systematic reviews and meta-analyses based on experimental studies. A related, but also overlooked question is how to appropriately incorporate existing evidence in a prospective survey methodological study. Usually, this is done in a qualitative and subjective manner by citing and discussing previous work. However, Bayesian approaches can help to be more rigorous and formal in terms of incorporating past evidence using informative priors, which then are contrasted and updated with the current study and data at hand. The overall aim of this session is to promote evidence-based survey methodology that is studies aimed at systematically aggregating high-quality evidence on issues relevant for preparing, implementing, and analyzing survey-based research. We encourage the submission of methodological papers, applications, and software/tool demonstrations. Eligible contributions may address, but are not limited to, the following topics: - Applications and challenges of replicative survey methodology, e.g. issues of pre-registration, determinants of replicability in survey methodology, etc. - Replicability in the context of big data - Systematic reviews, gap maps, and meta-analyses in survey methodology - Using Bayesian approaches to incorporate previous research findings - Software and tools supporting replications, systematic reviews and meta-analyses or Bayesian approaches in survey methodology contexts -- Dr. Bernd Weiß GESIS - Leibniz Institute for the Social Sciences Survey Design and Methodology | Team GESIS Panel Head of the GESIS Panel P.O. Box 12 21 55 | 68072 Mannheim | Germany Phone +49 621 1246 557 | Fax +49 621 1246 577 http://www.gesis.org<http://www.gesis.org/> | http://berndweiss.net/ -- Dr. Bernd Weiß GESIS - Leibniz Institute for the Social Sciences Survey Design and Methodology | Team GESIS Panel Head of the GESIS Panel P.O. Box 12 21 55 | 68072 Mannheim | Germany Phone +49 621 1246 557 | Fax +49 621 1246 577 http://www.gesis.org<http://www.gesis.org/> | http://berndweiss.net/

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Stellenausschreibung
by Gunnar Otte 20 Sep '18

20 Sep '18

Liebe Kollegen und Kolleginnen, ich suche dringend Unterstützung für die Phase der statistischen Datenauswertung und Berichterstattung im BMBF-geförderten Forschungsprojekt "Kulturelle Bildung und Kulturpartizipation in Deutschland" (wiss. Mitarbeit 65% ab 1.12.2018). Die Stelle ist zunächst befristet für 12 Monate, kann aber im Fall der angestrebten Projektverlängerung ebenfalls verlängert werden. Eine Weiterqualifizierung im Rahmen des Projektes ist möglich. Bitte machen Sie geeignete Kandidaten und Kandidatinnen auf die anhängende Ausschreibung aufmerksam. Vielen Dank und beste Grüße Gunnar Otte -- Prof. Dr. Gunnar Otte Johannes Gutenberg-Universität Mainz Institut für Soziologie Jakob-Welder-Weg 12 D-55128 Mainz Tel. +49 6131 39-22796 Email:gunnar.otte@uni-mainz.de https://sozialstruktur.soziologie.uni-mainz.de https://stratification.sociology.uni-mainz.de

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Join us at the Swiss Stata Users Group Meeting, October 25, 2018, ETH Zurich
by ben.jann＠soz.unibe.ch 20 Sep '18

20 Sep '18

Swiss Stata Users Group meeting 2018 ==================================== This year's Swiss Stata Users Group Meeting will take place on October 25, 2018, at the ETH Zurich. For the program and registration see: http://www.scientific-solutions.ch/fr/page/stata-user-meeting-2018 We offer a refreshing balance between lectures and practice: there will be presentations on various topics as well as a three-hour workshop on "Solving the two-step estimation problem using GMM in Stata". This unique event will provide Stata users the opportunity to share experiences about the software and information on new commands and trends. Anyone interested in Stata is welcome. We are looking forward to meeting you on Thursday, October 25, 2018, at ETH Zurich! Join us and register soon, as the number of attendees is restricted! Meeting fees are 75 CHF for professionals and 20 CHF for students (excluding VAT).

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Methoden