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Odum Institute/ICPSR Summer Program <http://www.icpsr.umich.edu/sumprog> in Quantitative Methods of Social Research<http://www.icpsr.umich.edu/sumprog>
UNC-Chapel Hill, the first university to offer joint workshops with the Interuniversity Consortium for Political and Social Research (ICPSR) outside of Ann Arbor, Michigan, is pleased to continue this tradition and to announce our joint Odum Institute/ICPSR courses for this summer. Registration and payment of fees are handled by ICPSR at www.icpsr.umich.edu/sumprog<http://www.icpsr.umich.edu/sumprog>.
Latent Growth Curve Models (LGCM): A Structural Equation Modeling Approach
Instructor: Kenneth Bollen
June 5-9, 2017
Davis Library, UNC-Chapel Hill
A powerful method for analyzing longitudinal data is Latent Growth Curve Models (LGCM). LGCM allow each case in a sample to have individual trajectories ("latent curves" or "growth curves") representing change over time. In addition to mapping these trajectories, LGCM allow researchers to examine the determinants of these trajectories or to relate the trajectories of one variable to those of another. The approach to LGCM in this course draws on the strengths of structural equation models (SEM), and the primary goal is to introduce participants to the theory and application of LGCM. The course begins with a conceptual introduction to LGCM, a description of research questions that are well suited for the technique, and a review of SEM. The remainder of the course will cover the following topics: LGCM for a single variable with and without predictors of differences in trajectories; modeling nonlinear trajectories; the LGCM for multiple variables; the relation between the parameters governing the trajectories in two or more variables; incorporating predictors of multiple trajectories; and extensions to the LGCM.
Prerequisites: The workshop assumes that participants have prior training and experience with SEM software.
Fee: Members = $1,700
For registration details, click here<http://www.icpsr.umich.edu/icpsrweb/content/sumprog/registration.html>.
Growth Mixture Models: A Structural Equation Modeling Approach
Instructor: Sarah Mustillo
June 12-14, 2017
Davis Library, UNC-Chapel Hill
The Growth Mixture Model (GMM) is an extension of the Latent Growth Curve Model (LGCM) that identifies distinct subgroups of growth trajectories and allows individuals to vary around subgroup-specific mean trajectories. Conventional growth modeling estimates a single mean intercept and slope for each individual and variance parameters around the mean intercept and slope. The GMM relaxes the assumption that all individuals are drawn from a single population with common parameters by using latent trajectory classes, resulting in separate intercepts, slopes, and variance parameters for each subgroup. This three-day workshop will provide training in estimating GMMs to analyze growth trajectories. Key features of this model are that it can identify the number and form of distinct subgroups of growth trajectories, estimate the proportion of the population in each subgroup, and model predictors of the trajectories and predictors of class membership. In addition to the basic model, this workshop will cover several extensions, such as including a distal outcome predicted by the trajectories, multiple group GMMs, and parallel process or joint trajectory models.
Prerequisites: Participants should be familiar with LGCMs. Familiarity with MPlus would be helpful but is not required.
Fee: Members = $1,500
For registration details, click here<http://www.icpsr.umich.edu/icpsrweb/content/sumprog/registration.html>.
Bayesian Latent Variable Analysis
Instructor: Ryan Bakker
July 17-21, 2017
Davis Library, UNC-Chapel Hill
This workshop will focus on a variety of commonly used latent variable techniques from the Bayesian perspective. The Bayesian paradigm is, in many ways, superior to classic techniques for estimating models with latent variables. In this workshop we will cover the factor and IRT models and introduce a variety of new tools for estimating models with latent variables as either explanatory or outcome variables. Additionally, we will introduce a variety of graphical techniques for presenting results. While there is not an assumption that participants will be well-versed in Bayesian modeling, a basic understanding of the Bayesian framework will be beneficial.
Fee: Members = $1,700
For registration details, click here<http://www.icpsr.umich.edu/icpsrweb/content/sumprog/registration.html>.
Statistical Graphics
Instructor: William Jacoby
July 31-August 2, 2017
Davis Library, UNC-Chapel Hill
This workshop will cover strategies for obtaining visual displays of quantitative information. We will discuss ways to, quite literally, look at data and statistical models in pictorial form. This is important because graphical representations avoid some of the restrictive and simplistic assumptions that often are encountered in empirical analyses. The first day of the workshop will present graphical displays for univariate, bivariate, multivariate, and categorical data. The second and third days will be devoted to producing graphical displays using tools available in the R statistical computing environment.
The workshop will focus primarily on the "lattice" package, although we will also examine some of the other graphical packages that exist within R. No previous experience with R is necessary to take this workshop! The second day will begin with a brief session on "Just Enough R for Graphics." The instructor will provide a variety of substantive examples and datasets to illustrate the various graphical techniques that are available. But workshop participants are also encouraged to bring their own datasets for constructing graphical displays that are tailored to their particular needs and interests.
Fee: Members = $1,500
For registration details, click here.<http://www.icpsr.umich.edu/icpsrweb/content/sumprog/registration.html>
If you have questions, please contact [log in to unmask]<mailto:[log in to unmask]>.
________________________________
Odum Institute
The University of North Carolina at Chapel Hill
Manning Hall CB# 3355
Chapel Hill, NC 27599-3355
www.odum.unc.edu<http://www.odum.unc.edu>
Telephone: 919.962.3061
Fax: 919.962.4777
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