Description:  This workshop will provide a foundation in structural equation modeling by introducing participants to the basics of model estimation, evaluation of model fit, and model interpretation for basic structural equation models. The models to be covered included path models, confirmatory factor analysis models, and full structural models. Instruction will consist of lectures and hands-on activities. As part of the workshop, participants will be instructed in the use of the LISREL computer package. Afternoon activities will involve conducting analyses using the LISREL package.  If time permits, participants will also be provided help in analyzing their own data.

Instructor: Deborah Bandalos, Professor, James Madison University

Cost: $1200 (includes workshop materials, refreshment breaks, lunch and parking passes each day)

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Description: This is an introduction to the theory and application of meta-analytic techniques for quantitative analysis and systematic review of scientific literature. The objective of the workshop is to provide participants with the rudimentary knowledge and skills needed to become a critical, quantitative consumer of existing literature in an area of interest.

Instructor: Rodney Dishman, Professor, Department of Kinesiology, University of Georgia

Cost: $350 (includes workshop materials, refreshment breaks, lunch and parking passes each day)

Location: Ramsey Center for Physical Activities, 330 River Road, Athens, GA 30602

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Description: In this exciting and engaging two-day workshop at the University of Georgia qualitative researchers, instructors of qualitative research methods, and graduate students will learn about the philosophical and methodological foundations of phenomenology and practice some of the core methodological techniques of phenomenological research.

Instructor: Mark Vagle, Associate Professor, University of Georgia

Cost: $375 (includes workshop materials, refreshment breaks, lunch and parking passes each day)

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Description: This exciting and engaging two-day workshop is designed for qualitative researchers, instructors of qualitative research methods, and graduate students who have introductory knowledge of phenomenological research (e.g., the presenter’s 2011 or 2012 introductory workshop, one of the presenter’s graduate courses, other similar learning experiences at other institutions). Participants will learn about the philosophical and methodological foundations of the presenter’s post-intentional phenomenology and practice post-intentional philosophical and methodological techniques.  This workshop is designed to be primarily application-oriented.

Instructor: Mark Vagle, Associate Professor, University of Georgia

Cost: $375 (includes workshop materials, refreshment breaks, lunch and parking passes each day)

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Description: This workshop will feature in-depth instruction in the theory and practice of equating, as in chapters 1-8 in Kolen and Brennan (2004), Test equating, scaling, and linking: Methods and practices (2nd ed.) published by Springer-Verlag. Participants will also gain experience with computer programs for equating. The workshop is suitable for advanced graduate students in measurement; faculty who plan to teach equating; employees of state departments of education, testing companies, licensure and certification organizations, and others who want relatively in-depth training in equating. It is assumed that participants have knowledge at the level of intermediate statistics and intermediate measurement.

Instructors: Robert Brennan and Won-Chan Lee, University of Iowa

Cost: $1400 (includes workshop materials, a copy of the book Test Equating, Scaling and Linking by Kolen and Brennan, an opening reception, dinner on Wednesday, refreshment breaks, lunch and parking passes each day)

Requirements:  a laptop computer is required to participate in this workshop.

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Description: The Advanced Multivariate Statistical Methods workshop presents a modern approach to multivariate data analysis, focusing on statistical techniques commonly used in empirical research (multilevel/hierarchical linear/mixed models, structural equation models, latent class/finite mixture models) and the commonalities which tie them to the techniques developed and used historically (i.e., Multivariate ANOVA, exploratory factor analysis, canonical correlation analysis, and classical clustering methods). The workshop will teach participants the tenets of modern multivariate thinking: the interplay between assumed statistical distributions (e.g. the multivariate normal distribution) and computationally intensive estimation techniques (maximum likelihood and Bayesian approaches). An emphasis is placed on how modern statistical analysis methods have used these principles to generalize methodology across many disciplines, including education, social and behavioral sciences, and the health fields. At the end of the course, participants will understand how to analyze multivariate data with modern multivariate approaches to test a variety of research hypotheses. A knowledge of linear models is preferable for participants enrolling in the course. Participants who have taken multivariate methods previously are encouraged to enroll and attend as this workshop represents a significant departure from how multivariate statistics have been taught in the past.

Instructor: Jonathan Templin, Associate Professor, University of Georgia

Cost: $525 (includes workshop materials, refreshment breaks, lunch and parking passes each day)

 Requirements: Please bring your own laptop computer to participate in this workshop.

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Description: Multilevel models are widely used statistical methods with names such as hierarchical linear models and random or mixed effects models. This workshop presents an introduction to multilevel models featuring their use in both cross-sectional (clustered or nested samples) and longitudinal analyses. By attending the workshop, participants will gain a basic understanding of the modeling approach and will be able to conduct basic multilevel model analyses. The course will feature example handouts and syntax from several statistical packages for multilevel modeling (SAS, SPSS, and Mplus).

Instructor: Jonathan Templin, Associate Professor, University of Georgia

Cost: $525 (includes workshop materials, refreshment breaks, lunch and parking passes each day)

 Requirements: Please bring your own laptop computer to participate in this workshop.

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Description:  Many analyses in the social sciences are applied to data regarding characteristics of people, but not to data describing interactions among people.  But interactions play an important role in affecting behavior and beliefs that cannot be explained purely in terms of individual attributes or community context.  To address these issues, in this workshop I will introduce participants to the basic concepts, theories, and models of social network analysis.  Participants will then have opportunities to explore how to define and apply these models in their own settings. The focus is on theoretical model development which can inform that design of studies, measures, and analysis.  I will also introduce participants to basic software for estimating the models and representing network data, and I will introduce participants to a range of social network resources. Participants should have roughly one year of applied statistics so that they are extremely comfortable with the general linear model (regression and ANOVA), and analysis of 2×2 tables. 

Instructor: Kenneth Frank, Michigan State University

Cost: $375

 Requirements: Please bring your own laptop computer to participate in this workshop.

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Description:  The Single Subject Research Methodology in Behavioral Sciences seminar will focus on the use of single subject research designs in answering applied research questions related to educational and clinical practices. We will encourage educators and therapists to view themselves as “scientist-practitioners” in which they assume an active role in applied research efforts in order to assess the ecological validity of research findings. Specifically, we will discuss baseline logic, the importance of direct and repeated measurement, direct measurement procedures, visual analysis of graphed data, research designs and how each evaluates threats to internal validity, and the importance of systematic replication as a means for extending the generality of any single research investigation. Participants are encouraged to bring research questions that we can discuss.

This workshop is based on the book by Gast (2010) Single Subject Research Methodology in Behavioral Sciences published by Routledge.

Instructors:
Dr. David Gast, Department of Communication Sciences and Special Education, College of Education, University of Georgia
Dr. Kevin Ayres, BCBA-D, Department of Communication Sciences and Special Education, College of Education, University of Georgia

Cost: $175

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