The University of Kansas is pleased to announce an expanded set of 5-day workshops on quantitative methodology, to take place June 1 - 19, 2009 in Lawrence, Kansas. Workshop topics this year include: Structural Equation Modeling, Multilevel Modeling, Advanced Longitudinal Modeling, Meta-Analysis, Item Response Theory, and Social Network Dynamics.
Brief descriptions can be found below, and more detailed information regarding course descriptions, registration and fees, location and lodging, travel information, and the like can be found here: www.Quant.KU.edu/StatsCamps/overview.html
Structural Equation Modeling: Foundations and Extended Applications (Todd D. Little & Noel A. Card, instructors)
June 1-5, 2009
The course will provide training in applications of structural modeling, including confirmatory factor analysis, multiple-group comparisons, factorial invariance, basics of longitudinal and latent growth curve analysis, as well as extended applications such as hierarchical and multitrait-multimethod decompositions.
Multilevel Modeling: Foundations and Applications (Kristopher J. Preacher, instructor)
June 1-5, 2009
Topics will include the foundations and advanced applications of multilevel modeling, including cross-nesting and multilevel SEM models.
Structural Equation Modeling: Advanced Longitudinal Modeling (Todd D. Little, instructor)
June 8-12, 2009
Topics will include traditional panel designs, latent growth curve analysis, growth mixture modeling, and dynamic intra-individual modeling.
Foundations of Meta-Analysis (Noel A. Card, instructor)
June 8-12, 2009
This course will teach the skills necessary to conduct and write publishable meta-analytic reviews, including methods of searching the empirical literature, coding effect sizes, and analyzing effect sizes across multiple studies.
Fundamentals of Item Response Theory (Michael C. Edwards, instructor)
June 15-19, 2009
This course covers the basic IRT models (2- & 3-parameter logistic, graded response model, etc.) and discusses several advanced topics to provide an overview of the wide variety of potential uses for IRT, including, measurement invariance, computerized adaptive testing, linking, equating, and multidimensional IRT models.
Social Network Dynamics (Thomas A. B. Snijders, instructor)
June 15-19, 2009
This course covers longitudinal Social Network Analysis with the software package, SIENA. The course is designed for researchers who either plan to collect or already possess longitudinal data on complete social networks. The course will emphasize the actor-based approach to social network analysis as implemented in SIENA.