My apologies for cross-posting. I wanted to let members of PolMeth know
that there are still seats available in several upcoming ICPSR Summer
Program workshops:
*Regression Models for Categorical Outcomes: Specification, Estimation, and
Interpretation*
Dates: May 23-26, 2017
Location: Amherst, MA
Instructor: J. Scott Long (Indiana University)
This workshop deals with the most important regression models for binary,
ordinal, nominal, and count outcomes. While advances in software make it
simple to estimate these models, the effective interpretation of these
nonlinear models is a vexingly difficult art that requires time, practice,
and a firm grounding in the goals of your analysis and the characteristics
of your model.
*R: Learning by Example*
Dates: May 31-June 2, 2017
Location: Boulder, CO
Instructor: David Armstrong (Western University)
The R statistical computing environment is arguably the most powerful
single tool for data analysis and graphics in use today. Given the pace and
scope of R's ongoing development, learning what is available and finding
what you need can seem a daunting, if not insurmountable task. This
workshop introduces users to R by working through a number of example
analyses commonly encountered in the social sciences.
*Regression Discontinuity Designs*
Dates: May 31-June 2, 2017
Location: Ann Arbor, MI
Instructors: Rocio Titiunik (University of Michigan) and Sebastian Calonico
(University of Miami)
This workshop introduces basic principles of the Regression Discontinuity
(RD) design and also discusses recent methodological developments in the
interpretation and analysis of this quasi-experimental design. The workshop
provides an accessible summary of the assumptions behind the RD design and
introduces participants to different methods that are appropriate for the
successful analysis of RD empirical applications.
*Process Tracing in Qualitative and Mixed Methods Research*
Dates: June 19-21, 2017
Location: Ann Arbor, MI
Instructor: Derek Beach (Aarhus University)
This course provides participants with a good understanding of the core
elements of process-tracing as a distinct social science case study method,
while assessing its relative strengths and limitations and how it can be
combined productively with other methods in multi-method designs.
*Spatial Econometrics*
Dates: July 17-21, 2017
Location: Ann Arbor, MI
Instructor: Robert J. Franzese (University of Michigan)
Cross-unit (i.e., "spatial") interdependence is ubiquitous throughout the
social sciences. Events or outcomes in one observational unit are often
related to similar occurrences in other observational units. This is the
case for such diverse phenomena as disturbances and conflicts within and
among nations; consumer and producer choices in markets; opinions and
behavior in societies; crime, health, and environmental outcomes; voting by
citizens in elections or by legislators in legislatures; and policies in
political jurisdictions. In such contexts, "standard" statistical methods
(which assume independent observations) are inappropriate. This workshop
introduces strategies appropriate for interdependent observations, using
spatial and spatiotemporal models of interdependent continuous and limited
outcomes.
Visit icpsr.umich.edu/sumprog to get more information about these workshops
and to view our full schedule. Or, contact the Summer Program at
[log in to unmask] or (734) 763-7400.
--
Stephanie Carpenter
ICPSR Summer Program in Quantitative Methods of Social Research
Inter-university Consortium for Political and Social Research
(w) http://www.icpsr.umich.edu/sumprog/
(e) [log in to unmask]
(p) (734) 763-7400
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