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Thanks to William Jacoby
2013 ICPSR Summer Program in Quantitative Methods of Social Research.
The Inter university Consortium for Political and Social Research (ICPSR) is
pleased to announce the 2013 Summer Program in Quantitative Methods of Social
Research.
As many subscribers to this list already know, the main component of the ICPSR
Summer Program is held on the campus of the University of Michigan, in Ann
Arbor. Lectures and workshops on a wide variety of topics in research design,
quantitative reasoning, statistical methods, and data processing are presented
in two four week sessions. The first session runs from June 24, 2013 until July
19, 2013. The second session runs from July 22, 2013 until August 16, 2013. The
contents of the two sessions are largely independent of each other. But, we do
have an increasing number of course sequences that span the two sessions (i.e.,
an introductory workshop during the first session and advanced coverage of the
same topic during the second session). So, there are some second session
workshops that assume participants are familiar with material from first
session courses (this should be clear from the course descriptions).
The 2013 ICPSR Summer Program will also offer a number of three to five day
workshops on both statistical and substantive topics throughout the summer.
Most of these shorter workshops take place in Ann Arbor, but there are several
that will be held in other locations: Amherst, MA; Berkeley, CA; Bloomington,
IN; Boulder, CO; Chapel Hill, NC; Montreal, Quebec, Canada; and New York, NY.
The 2013 ICPSR Summer Program will include a total of 79 courses; 41 in the
four-week sessions and 38 short workshops. We would like to draw your attention
to several noteworthy features in the 2013 Program:
• A 15% discount on registration fees for returning Summer Program participants.
• A 15% discount on total registration fees when an individual registers for two
or more short (i.e., two- to five-day) statistical or fee-charging substantive
workshops. Please note that this offer does not apply to sponsored substantive
workshops (in which participant fees are covered by the course sponsor)
• Two courses returning to the second four-week session after a one-year hiatus:
“Scaling and Dimensional Analysis” and “Longitudinal Analysis of Historical
Demographic Data.”
• A number of new two- to five-day statistical workshops (or classes returning
after a hiatus), including: “Introduction to Regression Analysis”; “Monte Carlo
Simulation and Resampling Methods”; “Programming Estimation Commands in Stata
and Mata”; “The Workflow of Data Analysis Using Stata”; “Applied Multilevel
Models for Cross-Sectional Data”; and “Spatial Regression for Contagion,
Diffusion, and Interdependent Processes”.
• A continuing emphasis on sequences of two courses—one introductory and one
advanced—on the same topic. These occur in both the four-week sessions (e.g.,
“Introduction to Game Theory” during the first session and “Advanced Game
Theory” during the second session) and among the short courses (e.g.,
“Hierarchical Linear Models I: Introduction” and “Hierarchical Linear Models
II: Special Topics”). The two-course sequences are intended to help
participants obtain a solid understanding of a given subject matter during a
relatively short period of time.
• Continued emphasis on network analysis. In addition to the sequence of two
courses in the four-week sessions (“Network Analysis” during the first session
and “Network Analysis: Advanced Topics” during the second session), we will
have the following short workshops: “Network Analysis: An Introduction”,
“Social Network Analysis: An Introduction”, “Network Analysis: A Second
Course”, and “Analyzing Social Networks: An Introduction”.
• Three five-day workshops on the analysis of panel data: “Longitudinal Data
Analysis, Including Categorical Outcomes,” “Panel Data Analysis Using Stata,”
and “Applied Mutlilevel Models for Longitudinal Data.”
• Continued emphasis on multilevel modeling. In addition to the four-week
workshop on “Applied Multilevel Models”, we offer the following short
workshops: “Hierarchical Linear Models I: Introduction”, “Hierarchical Linear
Models II: Special Topics”, “Applied Multilevel Models for Longitudinal Data”,
“Applied Multilevel Models for Cross-Sectional Data” and “Analyzing Multilevel
and Mixed Models Using Stata.”
In developing the course list for the 2013 ICPSR Summer Program, we are
responding to the expressed interests of the social scientific research
community, and providing coverage of statistical procedures that are receiving
increasing attention within methodological circles. We hope you find something
that will be useful for your own work in the 2013 Program. And, we are always
interested in feedback: Please let us know if you have any thoughts about our
current course offerings or new topics that you would like to see us include in
the curriculum.
The current course list for the 2013 ICPSR Summer Program is provided below.
This list gives the complete set of statistical courses that the Program will
offer in 2013. Note that the roster of short substantive workshops is still
being put together; additional information will be provided on the Summer
Program web site as it becomes available.
Registration is now open for all of our statistical courses and for several of
the substantive workshops. The application form, registration instructions, fee
structure, and further information about the ICPSR Summer Program are all
available on our Web site:
http://icpsr.umich.edu/sumprog/
Please feel free to e mail us with any further questions at:
[log in to unmask]
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2013 ICPSR SUMMER PROGRAM COURSE LIST
(All classes are held in Ann Arbor, MI unless otherwise noted)
First Four Week Session (June 24 July 19, 2013):
Lectures:
Mathematics for Social Scientists, I
Mathematics for Social Scientists, II
Mathematics for Social Scientists, III
Introduction to Computing
Introduction to the R Statistical Computing Environment
Introduction to the LaTeX Text Processing System
Data Mining
Statistical Workshops:
Introduction to Applied Bayesian Modeling for the Social Sciences
Introduction to Game Theory
Maximum Likelihood for Generalized Linear Models
Network Analysis
Rational Choice Theories of Politics and Society
Regression Analysis I: Introduction
Regression Analysis II: Linear Models
Regression Analysis III: Advanced Methods
Advanced Multivariate Statistical Methods
Introduction to Statistics and Data Analysis, I
Time Series Analysis
Substantive Workshops:
Methodological Issues in Quantitative Research on Race and Ethnicity
Quantitative Analysis of Crime and Criminal Justice
Second Four Week Session (July 22 August 16, 2013):
Lectures:
Introduction to Computing
Introductory/Review Lectures on Matrix Algebra
Introduction to the R Statistical Computing Environment
Introduction to the LaTeX Text Processing System
Missing Data: Statistical Analysis of Data with Incomplete Observations
Statistical Workshops:
Advanced Bayesian Models for the Social Sciences
Categorical Data Analysis
Causal Inference for the Social Sciences
Complex Systems Models in the Social Sciences
Advanced Game Theory
Longitudinal Analysis
Advanced Topics in Maximum Likelihood Estimation
Applied Multilevel Models
Scaling and Dimensional Analysis
Regression Analysis II: Linear Models
Simultaneous Equation Models
Introduction to Statistics and Data Analysis, II
Structural Equation Models with Latent Variables
Substantive Workshop:
Longitudinal Analysis of Historical Demographic Data
Two to Five Day Statistical Workshops:
Introduction to Regression Analysis (May 27-31, Montreal, Quebec, Canada)
Analyzing Developmental Trajectories (June 3-5, Amherst, MA)
Hierarchical Linear Models I (June 10-14, Amherst, MA)
Longitudinal Data Analysis, Including Categorical Outcomes (June 10-14)
Monte Carlo Simulation and Resampling Methods (June 10-14, Chapel Hill, NC)
Panel Data Analysis Using Stata (June 10-14)
Programming Estimation Commands in Stata and Mata (June 17-18)
Designing, Conducting, and Analyzing Field Experiments (June 17-19, New York,
NY)
Network Analysis: An Introduction (June 17-21)
Structural Equation Models and Latent Variables: An Introduction (June 17-21,
Chapel Hill, NC)
The Workflow of Data Analysis Using Stata (June 17-21, Amherst, MA)
Mixed Methods: Approaches for Combining Qualitative and Quantitative Research
Strategies (June 24-26, Chapel Hill, NC)
Network Analysis: A Second Course (June 24-28)
Introduction to Spatial Regression Analysis (June 24-28, Chapel Hill, NC)
Missing Data: An Introduction to the Analysis of Incomplete Data Sets (June
24-28, Bloomington, IN)
Applied Multilevel Models for Longitudinal Data (July 8-12, Boulder, CO)
Models for Categorical Outcomes Using Stata: Specification, Estimation, and
Interpretation (July 8-12)
Hierarchical Linear Models II: Special Topics (July 9-12)
Applied Multilevel Models for Cross-Sectional Data (July 15-19, Boulder, CO)
Doing Bayesian Data Analysis: An Introduction (July 15-19, Bloomington, IN)
Social Network Analysis: An Introduction (July 15-19, Berkeley, CA)
Time Series Analysis: An Introduction for Social Scientists (July 15-19)
Dynamic Models for Policy, Economics, and Society (July 22-26)
Causal Inference in the Social Sciences: Matching, Propensity Scores, and Other
Strategies (August 5-9, Berkeley, CA)
Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach
(August 5-9)
Growth Mixture Models: A Structural Equation Modeling Approach (August 12-14)
Analyzing Social Networks: An Introduction (August 12-16, Chapel Hill, NC)
Spatial Regression for Contagion, Diffusion, and Interdependent Processes
(August 12-16)
Analyzing Multilevel and Mixed Models Using Stata (August 19-21)
Three to Five Day Substantive Workshops:
Military Nursing Research Training: Survey Design and Analysis Using Mixed
Methods (July 22-26)
Curating and Managing Research Data for Re-Use (July 28-August 2)
Family Connections Across Generations and Nations: Jamaica, Guyana, and the
United States (July 29-August 2)
Assessing and Mitigating Disclosure Risk: Essentials for Social Scientists
(August 5-8)
Health Disparities Research and Minority Populations: Exploring ICPSR Data
Sources (August 12-16)
Applying Integrated Data Analysis Techniques to Addiction and HIV Research
(Dates TBD)
Child Care and Early Education Research Connections (Dates TBD)
Health Disparities Research and Minority Populations: Exploring ICPSR Data
Sources (Dates TBD, Washington, DC)
Measures of Effective Teaching (MET) Project (Dates TBD)
********************************************************************************
*
* Karl M. van Meter BMS, Bulletin de Methodologie Sociologique
* [log in to unmask] (Bulletin of Sociological Methodology)
* tel 33 (0)1 40 51 85 19 http://bms.sagepub.com/
* École normale supérieure
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* http://ens.academia.edu/KarlMvanMeter
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