Thursday, October 15, 2015

Special Three-day Workshop: "China Multigenerational Panel Datasets"

The ICPSR Summer Program is hosting a special 3-day workshop, "China Multigenerational Panel Datasets," from January 6-8, 2016 at the UCLA California Center for Population Research (CCPR) in Los Angeles, California.

The workshop will feature the China Multigenerational Panel Dataset-Shuangcheng (CMGPD-SC), 1866-1913 (ICPSR 35292), which provides longitudinal information on the demographic and socioeconomic characteristics of a resettled population living in Shuangcheng from 1866 to 1913. The workshop is intended for both interested and current users of the CMGPD.

Visit the workshop description page for more info and to apply to attend. The application deadline is December 1, 2015.

Monday, August 17, 2015

Save the Date! Announcing the 2016 ICPSR Summer Program!

We are happy to announce the following dates for the four-week sessions of the 2016 ICPSR Summer Program:

First Session: June 20 - July 15, 2016
Second Session: July 18 - August 12, 2016

Four-week courses offered in the First and Second Sessions are held in Ann Arbor, Michigan. We will post a tentative four-week schedule in December 2015.

Additionally, we will offer many 3- to 5-day workshops in Ann Arbor and other locations across the country. These short workshops will be held from early June 2016 through mid-August 2016. For a list of 3- to 5-day workshops, please check back in January 2016.

Official registration for all 2016 ICPSR Summer Program courses will open in February 2016.

The 2015 ICPSR Summer Program Comes to a Close

Over the past 4 months, hundreds of students, researchers, and faculty from all over the world participated in more than 80 courses in statistics, quantitative methods, and data analysis in cities across North America. Thanks to everyone who joined us for the 2015 ICPSR Summer Program!

Tuesday, August 11, 2015

Computing Services: End of Program Shut-Down


The Helen Newberry site will close to public access at 5:00 p.m. Friday, August 14, 2015.

U-M Wireless service will remain available at Newberry residence throughout the day.

Summer Program Computing Services
Computing facilities at Newberry residence will be closed according to the following schedule.

Shut-down Time
Thursday, August 13
Room C
6 p.m.
Friday, August 14
Room B
8 a.m.
Friday, August 14
Gradual Closure of Room A
2 p.m. – 4:45 p.m.

U-M Computing Services
Visitors to the University of Michigan should review this information about U-M computing services.

U-M uniqnames
If your sponsorship is due to expire on August 14th it will remain valid through the end of the day.

U-M Wireless

  • MWireless access ends with the expiration of your uniqname sponsorship
  • MGuest access remains available on campus to everyone after August 14th

U-M Computing Sites
Access to U-M Sites computing labs ends with the expiration of your uniqname sponsorship.

CTOOLS sites linked to your uniqname will be inaccessible once your uniqname sponsorship expires.

CTOOLS sites linked to your friend account will remain accessible after August 14th.

We hope that you have enjoyed a rewarding and productive summer!

Thursday, April 23, 2015

Introduction to Regression Analysis

We've just added another short workshop to our schedule, and we're glad to announce it's in a new location for the Summer Program!

DATES & TIME: July 6-10, 2015, 9 a.m.-5 p.m.
INSTRUCTOR: Joe Waddington, University of Notre Dame
NEW SUMMER PROGRAM LOCATION: Uniformed Services University of the Health Sciences in Bethesda, Maryland
DESCRIPTION: This course will serve as an introduction to applied ordinary least squares (OLS) regression. OLS regression serves as the foundation for the majority of advanced statistical courses or techniques you may encounter in your graduate school education or career. As such, the primary goal in this course is to understand the practical application of and intuition for using OLS regression. We will focus on the applied and intuitive understanding of topics, as opposed to purely theoretical or mathematical explanations. The course will be taught with multitude of instructional approaches, to gain a deeper understanding of OLS regression in its "mathematical," "English language," and "graphical" forms. We will focus on both bivariate and multiple OLS regression.
PREREQUISITES: All participants in this course are expected to have a requisite knowledge of topics from introductory statistics, as well as a basic understanding of algebra.
FEE: ICPSR members, $1500; Non-members, $3000

Wednesday, April 22, 2015

Workshops on Bayesian Analysis

Bayesian data analysis is rapidly supplanting traditional statistical methods because it provides richer inferences from empirical observations, without having to resort to ill-defined probability values in hypothesis tests. The Bayesian paradigm is particularly useful for the type of data that social scientists encounter, given its recognition of the mobility of population parameters, its ability to incorporate information from prior research, and its ability to update estimates as new data are observed.

In 2015, the ICPSR Summer Program is offering four workshops on Bayesian analysis.

Three- to Five-Day Workshops

July 7-10, 2015
Doing Bayesian Data Analysis: An Introduction
INSTRUCTOR: John Kruschke, Indiana University
DESCRIPTION: This workshop introduces participants to modern Bayesian methods. We will begin with the basic ideas of probability and Bayes' rule. After that, we move on to cover probability distributions, grid approximation, Markov chain Monte Carlo methods, and Bayesian approaches to some specific statistical models (e.g., the multiple linear regression model, ANOVA, contingency table analysis, hierarchical models). Along the way, we will consider additional topics, including null hypothesis significance testing, Bayesian model comparison, Bayesian assessment of null values, and statistical power. Upon completion of this workshop, participants should be able to incorporate Bayesian tools into their own research projects and data analyses.
FEE: ICPSR Members, $1400; Non-members, $2800

August 3-5, 2015
An Applied Introduction to Bayesian Methods
LOCATION: Chapel Hill, NC
INSTRUCTOR: Jeffrey Harden, University of Colorado at Boulder
DESCRIPTION: This course will provide an introductory overview of Bayesian methods as they are applied to social science research. We will focus on the two complementary goals of learning the theory behind Bayesian inference as well as practical implementation of several common models in R.
FEE: ICPSR Members, $1300; Non-members, $2600

Four-Week Workshops

Session I: June 22-July 17, 2015
Introduction to Applied Bayesian Modeling for the Social Sciences
INSTRUCTORS: Ryan Bakker, University of Georgia, and Johannes Karreth, University at Albany, State University of New York
DESCRIPTION: This course introduces the basic theoretical and applied principles of Bayesian statistical analysis in a manner geared toward students and researchers in the social sciences. The course begins with a discussion of the strengths of the Bayesian approach for social science data and the philosophical differences between Bayesian and frequentist analyses. Next, the course covers the theoretical underpinnings of Bayesian modeling and provides a brief introduction to the primary estimation algorithms. The bulk of the course focuses on estimating and interpreting Bayesian models from an applied perspective.
FEE: ICPSR Members, $2300 (before May 1); Non-members, $4600 (before May 1)

Session II: July 20-August 14, 2015
Advanced Bayesian Models for the Social Sciences
INSTRUCTORS: Jeffrey Harden, University of Colorado at Boulder, and Daniel Stegmueller, University of Essex
DESCRIPTION: This course covers the theoretical and applied foundations of Bayesian statistical analysis at a level that goes beyond the introductory course. Topics include: Bayesian stochastic simulation (Markov chain Monte Carlo); model checking, model assessment, and model comparison, with an emphasis on computational approaches; Bayesian variants of "workhorse" political science models, such as linear models, models for binary and count outcomes, discrete choice models, and seemingly unrelated regression; and advanced Bayesian models, such as hierarchical/multilevel models, models for panel and time-series cross-section data, latent factor and item response theory (IRT) models, as well as instrumental variable models.
FEE: ICPSR Members, $2300 (before May 1); Non-members, $4600 (before May 1)

Tuesday, April 14, 2015

Text Analytics

Text Analytics

DATES & TIME: August 3-6, 2015, 5:30-9:30 p.m.
INSTRUCTOR: Robert Stine, University of Pennsylvania

DESCRIPTION: Statistical methods for the analysis of textual data have come of age. We can mine textual data for underlying sentiments, scan for hateful or discriminatory language, or create features that improve familiar predictive models. This workshop explores how various text analytics can be understood, used, and developed by non-specialists in the field. View the full course description here.

PREREQUISITES: This course is self-contained with no explicit prerequisite beyond familiarity with statistical methods at the level of multiple regression. That said, some familiarity with multivariate methods (particularly principal components) and exposure to probability models would be helpful. The course will predominantly use packages from R as the main software tool.

STANDARD FEE: Members = $1200; Non-members = $2400
SPECIAL FEE: Participants who attend either of the two 2015 regular sessions (First Session or Second Session) are eligible for a special discounted fee of $960 to attend this evening workshop. To received this special discounted fee, please email the Summer Program at