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Results for: track:3L (14)

14 results found, sorted by title	score using date		1-14

	Advanced Bayesian Models for the Social Sciences Patrick Brandt, School of Economic, Political, and Policy ... This course covers the theoretical and applied foundations of Bayesian statistical analysis at a level that goes beyond the introductory course. Therefore, knowledge of basic Bayesian statistics (such as that obtained ...	2009-04-27

	Advanced Game Theory Catherine Hafer This course presents advanced topics in noncooperative game theory, with special attention to dynamic games of incomplete information. The notion of consistent beliefs will be introduced and integrated into the ...	2009-02-10

	Advanced Topics in Maximum Likelihood Estimation Bradford Jones, Political Science, University of California ... This is the second course offered in sophisticated models that rely on maximum likelihood as their methods of estimation. The course for 2009 will be devoted to the analysis of data over time and across units. Modeling ...	2009-02-09

	Categorical Data Analysis Tait Medina, Sociology, Indiana University "Which candidate did you vote for?" "Which diagnosis is correct given the patient's symptoms?" "Will that offender avoid crime in the future?" Responses to questions of this kind are recorded in unordered categories ...	2009-02-16

	Causal Inference for the Social Sciences Marco Steenbergen, Political Science, University of Bern, ... This course provides an introduction to statistical methods used in causal inference. The content is geared specifically toward students and researchers in the social sciences. Using the potential outcomes framework of ...	2009-06-16

	Introduction to Applied Bayesian Modeling for the Social Sciences Ryan Bakker, Political Science, University of Georgia This course introduces the basic theoretical and applied principles of Bayesian statistical analysis in a manner geared toward students in the social sciences. The Bayesian paradigm is particularly useful for the type ...	2009-02-09

	Longitudinal Analysis Michael Berbaum, Public Health, University of Illinios, Chicago Longitudinal analysis is the study of short series of observations obtained from many respondents over time and is also referred to as panel analysis (of a cross-section of time series), or repeated measures, or ...	2009-02-09

	Maximum Likelihood Estimation for Generalized Linear Models Christopher Zorn, Political Science, Pennsylvania State ... This course introduces students to a number of useful statistical models that move beyond standard linear regression. Among the topics covered are logit and probit models for both binary and ordinal dependent variables, ...	2009-02-09

	Multivariate Statistical Methods, Advanced Douglas Steinley, Psychology, University of Missouri A very strong background in statistics at least at the level of the ICPSR courses Regression Analysis II: Linear Models and Mathematics for Social Scientists II is necessary for this course. The purpose of this ...	2009-02-12

	Regression Analysis III: Advanced Methods David Armstrong, Political Science, University of Oxford Linear regression is the workhorse of social science methodology. Its relative robustness and easy interpretation are but two of the reasons that it is generally the first and frequently the last stop on the way ...	2009-02-09

	Scaling and Dimensional Analysis William Jacoby, Political Science, Michigan State ... This workshop will focus on several strategies for producing geometric representations of structure in data. These methods tend to be used for three main reasons: (1) Data reduction. Typically, multiple indicators are ...	2009-02-12

	Simultaneous Equation Models Sandy Marquart-Pyatt, Sociology, Utah State University This course centers on simultaneous equation models -- models of more than one equation, to account for more than one dependent variable -- formerly called "causal models." The workshop will focus on linear models of ...	2009-02-09

	Structural Equation Models With Latent Variables Douglas Baer, Sociology, University of Victoria This course will introduce participants to latent variable structural equation models (SEMs). It provides an overview of the statistical theory underlying SEMs and will introduce participants to practical examples ...	2009-02-09

	Time Series Analysis Regina Baker, Political Science, University of Oregon Both the ICPSR courses Regression Analysis II: Linear Models and Mathematics for Social Scientists II are prerequisites for this course. This four-week workshop begins by focusing on the autoregressive and moving ...	2009-02-09

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