Hello,
A brief note to let you know that seats are still available in the
following ICPSR Summer Program short workshops. For more information and to
register, visit www.icpsr.umich.edu/sumprog
Thanks for your attention!
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Spatial Econometrics (July 9-13, 2018 | Ann Arbor, MI)
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; opinions and behavior in societies; 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. Instructor: Robert J. Franzese (University of Michigan)
Bayesian Multilevel Models (July 30-August 3, 2018 | Berkeley, CA)
This workshop introduces the Bayesian multilevel model framework. Bayesian
methods allow for an extremely flexible approach for estimating
hierarchical models with a variety of different types of dependent
variables. The Bayesian approach simplifies several of the assumptions of
the classical techniques for MLMS and directly estimates a variety of
quantities of interest that require post-estimation methods in the
non-Bayesian framework. Topics covered include the hierarchical linear
model, as well as a models with limited dependent variables, summarizing
results, in and out of sample predictions, and measures of model fit. No
prior knowledge of Bayesian modeling is required, but is beneficial.
Instructor: Ryan Bakker (University of Georgia)
Handling Missing Data: Using Multiple Imputation in Stata (August 6-8,
2018 | Ann Arbor, MI)
This course will cover the use of Stata to perform multiple-imputation
analysis. Multiple imputation (MI) is a simulation-based technique for
handling missing data. The course will provide a brief introduction to
multiple imputation and will focus on how to perform MI in Stata using the
mi command. The three stages of MI (imputation, complete-data analysis, and
pooling) will be discussed in detail with accompanying Stata examples.
Various imputation techniques will be discussed, including multivariate
normal imputation (MVN) and multiple imputation using chained equations
(MICE). Also, a number of examples demonstrating how to efficiently manage
multiple imputed data within Stata will be provided. Linear and logistic
regression analysis of multiply imputed data as well as several
postestimation features will be presented. Instructor: Rose Medeiros
(StataCorp, LLC)
Optimal Methods and Strategies for Reproducible Research: How to Publish
Faster with Less Stress! (August 13-17, 2018 | Ann Arbor, MI)
Data analysis is technically demanding, time consuming, and plain hard
work. How did you learn to organize and manage your research? Too often
this is done haphazardly, perhaps in response to problems such as losing a
critical file or finding an error in your research. The dataset must be
prepared, statistical analysis performed, and results incorporated into
papers. Invariably, reviewers want revisions that require additional passes
through the data. Increasingly, journals expect authors to distribute the
datasets and the script files that produced the paper’s results. To do this
efficiently and to avoid damaging errors requires a workflow that
anticipates producing reproducible results that are accurate. This workshop
considers the entire process of research from and presents a workflow that
is guided by the demands of producing reproducible and accurate results
while working as quickly and efficiently as possible. The course focuses on
strategies and rules that work with Stata, R, SPSS, SAS or any statistical
package. Instructor: J. Scott Long (Indiana University)
--
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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