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Advanced Topics in Applied Regression II: Operationalisation, Measurement, Weighting and Non-Response Correction - Levi Littvay

Member rate £492.50
Non-Member rate £985.00

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Course Dates and Times

Levente Littvay

littvayl@ceu.edu

Central European University

B08 Advanced Topics in Applied Regression Can be taken as two one-week courses. Both one-week courses can each be taken without the other. C09 - Week 1: Advanced Topics in Applied Regression: Extrapolation, Relaxing Linearity, Causal Inference, Multilevel Models and Latent Heterogeneity D06 - Week 2: Advanced Topics in Applied Regression: Missing Data, Nonresponse Correction, Weights, Measurement and Operationalization. Once a researcher becomes comfortable with regression, often the question arises. What next? Building on the assumptions regression models make (especially independence, linearity and lack of measurement error), this course offers an overview of multitude of ways the assumptions can be relaxed. In the process the course trains researchers to carefully think about these assumptions and become better data analysts and social scientists at the same time. The relaxing of regression assumptions allows us to look at the world from a new angle, to ask novel research questions. The course offers an introduction to many statistical techniques that either complement or build on regression analysis. These include fixed and random effects, multilevel, latent heterogeneity (mixture) and quasi-experimental causal models through matching. Week two considers issues of measurement, reliability and validity, missing data and (if time allows) the selection of the most appropriate of competing regression models. Prerequisite knowledge Note from the Academic Convenors to prospective participants: by registering to this course, you certify that you possess the prerequisite knowledge that is requested to be able to follow this course. The instructor will not teach again these prerequisite items. If you doubt whether you possess that knowledge to a sufficient extent, we suggest you contact the instructor before you proceed to your registration. A solid understanding of linear and logistic regression to the level that is described in the following texts. Michael Lewis-Beck. (1980). Applied Regression: An Introduction. Newbury Park, CA: Sage, John Fox. (1991). Regression Diagnostics. Newbury Park, CA: Sage and Fred C. Pampel. (2000). Logistic Regression: A Primer. Newbury Park, CA: Sage (All books are from the Quantitative Applications in the Social Science, aka. little green books, series.) You should also be comfortable to conduct basic data management, import and export and the analyses described in the listed books in at least one statistical package of your choice. You also need to be open to learning other statistical packages. In this course we will use SPSS, R and Mplus. I will not assume that you know how to use this software but I will assume that you know how to use some software that you have access to that software for basic data management and to run basic regression models and diagnostics. This course starts where the two-week ECPR Summer Course on Multiple Regression Analysis ends. Please also consult that study plan to assess if you are ready for this course or if you should be taking that course instead. Short Bio Levi holds a PhD in Political Science from the University of Nebraska-Lincoln where he also studied Survey Research and Methodology. Held visiting positions at Washington State, Eotvos Lorand and Zagreb University and taught a number of workshops on statistical topics. Predominantly a methodologist, Levi’s research strives to find new, interdisciplinary analytical strategies to complex problems and research questions. Currently researches statistical methods, political behavior and political psychology.

Instructor Bio

Levente Littvay researches survey and quantitative methodology, twin and family studies and the psychology of radicalism and populism.

He is an award-winning teacher of graduate courses in applied statistics with a topical emphasis in electoral politics, voting behaviour, political psychology and American politics.

He is one of the Academic Convenors of ECPR’s Methods School, and is Associate Editor of Twin Research and Human Genetics and head of the survey team at Team Populism.

 @littvay