Statistical Graphics for Visualizing Data (Hubert M. Blalock Memorial Lecture Series)
These lectures will cover methods for obtaining visual displays of quantitative information. They will discuss ways to, quite literally, look at data. This is important because graphical representations avoid some of the restrictive assumptions and simplistic models that are often encountered in empirical analyses. These methods are particularly useful in the social sciences, where the robustness characteristics of traditional statistical techniques often are pushed to their limits. The first lecture will focus primarily on introductory concepts and graphical displays for univariate data, then move on to graphs for bivariate, multivariate, and/or categorical data. The objective is generally the same: to construct a pictorial abstraction that highlights the salient aspects of the data without distorting any features or imposing undue assumptions.
The Hubert M. Blalock Memorial Lecture Series: Advanced Topics in Social Research -- Frontiers of Quantitative Methods
This is a special lecture series covering advanced topics on the frontier in quantitative methods of social research. Some of this material draws upon recent work in fields such as applied statistics, econometrics, computer science, and mathematical modeling.
Fees: Consult the fee structure.
This series is dedicated to the late Hubert "Tad" Blalock, whose scholarship, integrity, insight, and wit benefited all the social sciences through his work in applied statistics, causal modeling, theory construction, conceptualization, and measurement.