[ICPSR] Announcement: 2013 ICPSR Summer Program in Quantitative Methods of Social Research
ICPSR Summer Program
icpsr-sumprog at umich.edu
Mon Mar 4 16:28:21 EST 2013
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)
- A continuing emphasis on data science, with workshops on "Curating and
Managing Research Data for Re-Use" and "Assessing and Mitigating Disclosure
Risk: Essentials for Social Scientists." Note that the first of these two
workshops is a re-titled version of the highly successful "Applied Data
Science" workshop that was held in the 2012 ICPSR Summer Program.
- Several courses of special interest to diverse audiences, including
the workshop on "Methodological Issues in Quantitative Research on Race and
Ethnicity" in the first four-week session and short workshops on "Health
Disparities Research and Minority Populations: Exploring ICPSR Data
Sources" (offered twice in 2013, once in Ann Arbor and once in Washington,
DC), "Family Connections Across Generations and Nations: Jamaica, Guyana,
and the United States," and "Applying Integrated Data Analysis Techniques
to Addiction and HIV Research."
- 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:
sumprog at icpsr.umich.edu
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)
--
ICPSR Summer Program in Quantitative Methods of Social Research
Inter-university Consortium for Political and Social Research
University of Michigan
P.O. Box 1248
Ann Arbor MI 48106-1248
734.763.7400 | sumprog at icpsr.umich.edu |
http://www.icpsr.umich.edu/sumprog/
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