The workshop will take place in hybrid format:

https://uni-bremen.zoom-x.de/j/66472303614?pwd=7vbZbZPDwVvLyx0gcAoz9ps9Nqi28l.1

Description:

Welfare state research relies on aggregate indicators, such as decommodification or generosity indices, to facilitate comparison over time and space and across diverse fields of social policy. The projects of the CRC1342 have collected detailed institutional indicators, outcome measures and societal yardsticks during the first two phases, and started conceptualizing and measuring the inclusiveness and scope of benefits in their respective social policy fields. In the third phase, we are working to construct a unified set of measures to map the global varieties of social policy. The workshop presents a first draft of policy-field and aggregate indices for discussion and feedback.

This two-day course provides an introduction to multilevel modelling and includes software practicals and demonstrations in R. We focus on multilevel models for continuous and binary outcomes when data are clustered (nested or hierarchical). These models extend conventional linear and logistic regression by accounting for—and learning from—the clustering in the data. They are appropriate, for example, when analysing exam scores for students nested within schools, health outcomes for patients nested within hospitals, or attitudes of respondents within areas. Particular emphasis is placed on disentangling processes operating at different levels of analysis by decomposing the within- and between-cluster effects of explanatory variables (covariates). Longitudinal data also have a clustered structure, with repeated measurements nested within individuals or multiple panel waves nested within survey respondents. Throughout the course, we emphasise model interpretation and the types of research questions that multilevel models are designed to address.

Professor George Leckie is a Professor of Social Statistics and Co-Director of the Centre for Multilevel Modelling (CMM) at the School of Education, University of Bristol, UK. His methodological interests are in the development, application and dissemination of multilevel and related models to analyse educational and other social and health data. He has authored over 100 journal articles, many developing or applying multilevel modelling. He has taught over 90 multilevel modelling short courses across UK, Europe, Australia and US.

Steffen Hertog is Professor in Comparative Politics in the Department of Government at the London School of Economics and Political Science. He joined the Department of Government in 2010 as a lecturer. He was previously Kuwait Professor at Sciences Po Paris, lecturer in political economy at the University of Durham and post-doctoral research fellow at Princeton University.

He holds an MA from the University of Bonn, an MSc from the School of Oriental and African Studies and a D.Phil. from the University of Oxford.

The workshop will cover the fundamentals of identifying and dealing with missing data based on examples from quantitative surveys and will extend to macro-comparative data as well.

The workshop will be given by Florian Meinfelder who is a Senior Lecturer at the University of Bamberg and Co-Ordinator of the Master in Survey Statistics. Florian also teaches at the GESIS summer school on these topics, and worked previously at the Media Research division of the Gesellschaft für Konsumforschung (GfK).