Announcing ICPSR Summer Program courses on measurement issues

 

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Courses on Measurement Issues

 

Item Response Theory: Methods for the Analysis of Discrete Survey Response Data (Ann Arbor, MI)

 

Dates: June 30-July 3

URL: bit.ly/1dKN2Ai

About: Workshop geared towards those interested in the foundations and applications of item response models as measurement tools of latent traits across disciplines

Instructor: Jonathan Templin, University of Kansas

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Causal Inference in the Social Sciences: Matching, Propensity Scores, and Other Strategies (Berkeley, CA)

 

Dates: July 14-July 18

URL: bit.ly/1e8sFNr

About: Workshop providing an introduction to statistical methods used for causal inference in the social sciences. Participants will use the R statistical computing environment for computation.

Instructors: Dominik Hangartner, London School of Economics; Marco Steenbergen, University of Bern

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Finding Patterns in Data, Big and Small (Ann Arbor, MI)

 

Dates: July 21-July 25

URL: bit.ly/1k0cQZs

About: Workshop exploring methods to find groups in data, including classic data sets, network data, longitudinal data, repeated measure data, text mining, and proximity data

Instructor: Douglas Steinley, University of Missouri

 

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About Us

The ICPSR Summer Program is internationally recognized as the preeminent resource for basic and advanced training in social science research methodologies and technologies.

 

We offer courses in research design, quantitative reasoning, statistical methods, and data processing. Our goal is to integrate methods of quantitative analysis within a broader context of substantive social research.

 

More Information

For more information, including a complete list of courses, registration information, and scholarships, please visit our website at icpsr.umich.edu/sumprog. You can also contact the Summer Program at (734) 763-7400 or [log in to unmask]