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ICPSR Summer Workshops


ICPSR Summer Program in Quantitative Methods of Social Research

2018 Summer Workshops at the Hobby School of Public Affairs

The University of Houston Hobby School of Public Affairs has been selected by the Inter-university Consortium of Political and Social Research (ICPSR) as a host of the 2018 Summer Program in Quantitative Methods of Social Research. ICPSR was launched in 1962 as a national initiative for training social scientists in research methods, including mathematical modeling, statistics, data analytics, and experimental design.

ICPSR is hosted at the University of Michigan, and runs its flagship Summer Program in Ann Arbor. The Hobby School joins a selective group of academic institutions in the ICPSR network offering summer training workshops. Other hosts of these workshops include the University of Massachusetts at Amherst, University of California at Berkeley, Indiana University at Bloomington, University of Colorado at Boulder, and the University of North Carolina at Chapel Hill. ICPSR also has three international partners: University of Glasgow, Scotland; University of St. Gallen, Switzerland; and York University, Toronto, Canada.

These workshops aim at training students and professionals in the analytical tools and software used in the analysis of data in the social sciences. The Hobby School will offer three short workshops this summer.

  1. Linear Regression Analysis in the Social Sciences (basic methods for statistical analysis), five-day workshop, May 14-18
  2. Introduction to R (open-source statistical software), three-day workshop, May 14-16
  3. The Generalized Linear Model and Maximum Likelihood Estimation (advanced methods for statistical analysis), five-day workshop, May 21-25

The workshops meet daily from 9:00 a.m. - 5:00 p.m., and include lectures and hands-on lab training on the applications learned in class. For more information about the ICPSR Summer Program at the Hobby School, please contact Pablo M. Pinto (, Director, Center for Public Policy, or Scott Mason (, Program Manager 2 at the Hobby School.

Financial support of up to $1,000 per workshop is available for eligible students. In order to determine if you qualify for funding, send a personal statement of purpose, letter of recommendation from an advisor/colleague, and a copy of your unofficial transcript to and The deadline for submitting this request is Friday, April 20.

Refreshments will be provided in the mornings and afternoons, and there will be a small reception on May 14 and May 21 after the sessions on those days.

Workshops Offered at the UH Hobby School of Public Affairs

Linear Regression Analysis in the Social Sciences

Instructors: Jim Granato and Sunny Wong, Hobby School of Public Affairs, University of Houston

Dates: May 14-18, 9:00 a.m. - 5:00 p.m.

Course Description: This course is designed for participants to develop quantitative research skills with applications to social science topics. Participants will gain an overview of research design, data management, and statistical analysis and interpretations of research findings. The course will be centered around several main topics covering the basic analysis of ordinary least squares (OLS), the technique of estimating bivariate and multivariate regression models, the overall fitness of a regression equation, the hypothesis and diagnostic testings, and more. This course takes the "learning by doing" approach by discussing the major themes in regression analysis with detailed examples, which shows how the subject works in practice using Stata.

Prerequisites: Algebra and basic statistics

Software: Stata

Workshop Information:

Introduction to R

Instructor: Ryan Kennedy, Department of Political Science, University of Houston

Dates: May 14-16, 9:00 a.m. - 5:00 p.m.

Course Description: Most students learn to use R piecemeal, by performing tasks similar to what they have already learned in another program like Stata or SPSS. The result is often frustration on the part of both students and professors. This course takes a different approach. Utilizing the "tidyverse" tools, this course shows how writing code in R can be both easy and intuitive. We will cover graphics, data management and modeling, automated updating of tables, replication using markdown, functional programming, and, time permitting, application design. This course is not about repeating in R what students have already learned elsewhere, but to instead become R programmers capable of approaching any new challenge.

Prerequisites: Basic statistics and familiarity with statistical software or database packages (such as Excel, SPSS, Stata, SAS, SQL, Python)

Software: R and RStudio (installation instructions will be submitted prior to start of workshop)

Workshop Information:

Link to ICPSR Summer Workshop Schedule:!workshops

View the ICPSR Summer Workshops file