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Fall 2013 Class Schedule (Graduate)

EDS 597R Directed Study: Empirical Proposal

Chang, TBA, TBA

EDS 597R Directed Study: Empirical Proposal

Cheong, TBA, TBA

EDS 597R Directed Study: Empirical Proposal

Downey, TBA, TBA

EDS 597R Directed Study: Empirical Proposal

Hahn, TBA, TBA

EDS 597R Directed Study: Empirical Proposal

Jensen, TBA, TBA

EDS 597R Directed Study: Empirical Proposal

Siddle Walker, TBA, TBA

EDS 597R Directed Study: Dissertation Proposal

Chang, TBA, TBA

EDS 597R Directed Study: Dissertation Proposal

Cheong, TBA, TBA

EDS 597R Directed Study: Dissertation Proposal

Downey, TBA, TBA

EDS 597R Directed Study: Dissertation Proposal

Hahn, TBA, TBA

EDS 597R Directed Study: Dissertation Proposal

Jensen, TBA, TBA

EDS 597R Directed Study: Dissertation Proposal

Siddle Walker, TBA, TBA

EDS 597R Directed Study: Special Topic

Chang, TBA, TBA

EDS 597R Directed Study: Special Topic

Cheong, TBA, TBA

EDS 597R Directed Study: Special Topic

Downey, TBA, TBA

EDS 597R Directed Study: Special Topic

Hahn, TBA, TBA

EDS 597R Directed Study: Special Topic

Jensen, TBA, TBA

EDS 597R Directed Study: Special Topic

Siddle Walker, TBA, TBA

EDS 599R Individual Research: Empirical Research

Chang, TBA, TBA

EDS 599R Individual Research: Empirical Research

Cheong, TBA, TBA

EDS 599R Individual Research: Empirical Research

Downey, TBA, TBA

EDS 599R Individual Research: Empirical Research

Hahn, TBA, TBA

EDS 599R Individual Research: Empirical Research

Jensen, TBA, TBA

EDS 599R Individual Research: Empirical Research

Siddle Walker, TBA, TBA

EDS 599R Individual Research: Special Topic

Chang, TBA, TBA

EDS 599R Individual Research: Special Topic

Cheong, TBA, TBA

EDS 599R Individual Research: Special Topic

Downey, TBA, TBA

EDS 599R Individual Research: Special Topic

Hahn, TBA, TBA

EDS 599R Individual Research: Special Topic

Jensen, TBA, TBA

EDS 599R Individual Research: Special Topic

Siddle Walker, TBA, TBA

EDS 746R Curriculum Internship

Chang, TBA, TBA

EDS 746R Curriculum Internship

Cheong, TBA, TBA

EDS 746R Curriculum Internship

Downey, TBA, TBA

EDS 746R Curriculum Internship

Hahn, TBA, TBA

EDS 746R Curriculum Internship

Jensen, TBA, TBA

EDS 746R Curriculum Internship

Siddle Walker, TBA, TBA

EDS 747R Leadership Internship

Jensen, TBA, TBA

EDS 747S Supervision Internship

Cadray, TBA, TBA

EDS 748R Research & Evaluation Internship

Chang, TBA, TBA

EDS 748R Research & Evaluation Internship

Cheong, TBA, TBA

EDS 748R Research & Evaluation Internship

Downey, TBA, TBA

EDS 748R Research & Evaluation Internship

Hahn, TBA, TBA

EDS 748R Research & Evaluation Internship

Jensen, TBA, TBA

EDS 748R Research & Evaluation Internship

Siddle Walker, TBA, TBA

EDS 771 Foundation Seminar: History of Mathematics Education

Jensen, TBA, TBA

Content:

EDS 771 William James Seminar: Psychological Principles, Religious Experience, and Pragmatism

Snarey, W 2:30-5:30, Max: 5

Content:

EDS 772 Curriculum Seminar: Special Topic

Jensen, TBA, TBA

EDS 774 Research Seminar: Writing for Publication in Civic Education

Hahn, W 1:00-4:00, Max: 10

Content: Students will critique recent articles published in diverse journals, read articles on "how to write for publication", develop at least one published article on civic education and act as a member of a writing group providing feedback to peers.

EDS 774 Research Seminar: Dissertation Research in History

Siddle Walker, M 10:00-1:00, Max: 10

Content: This class is for students using historical methodology in the completion of a dissertation. It is designed to 1) refine and strengthen the scope of the dissertation, 2) spur continual revision of analysis and writing, and 3) inspire students’ capacity to argue the significance of the work for the field. Throughout, students will be expected to apply these skills to their own work and to the work of others.  Rigid timelines for completion of varied stages of the writing process will be observed.

EDS 774 Research Seminar: Hierarchical Linear Modeling I

Cheong, Tu 9:00-12:00, Max: 10

Content: This seminar provides an introduction to hierarchical linear models (HLM) with continuous outcomes.  The HLM provide a conceptual framework and a flexible set of analytic tools to study a variety of social and developmental processes. One set of applications focuses on data in which persons are clustered within social contexts such as couples, families, classrooms, schools, or neighborhoods. Interest may center on the magnitude of social contextual effects on personal outcomes, the context-specificity of relationships between person background and person outcomes, or interactions between measurable features of social context and personal background. The second set of applications concerns individual growth or change over time. Interest focuses on the shape of mean growth, the variability in personal growth curves around the mean growth curve, and personal characteristics that predict differences in growth curves. The third set of applications involves a combination of both of the first two sets. We have persons changing over time who are also nested within social contexts. Some goals are to assess the correlated and interactive effects of personal background and social context on trajectories of individual development. The fourth set handles data that are not strictly hierarchical and are cross-classified. We have persons belonging to two non-nested contexts or moving across contexts over time. Some goals are to evaluate the associations between personal background and various social contexts with the outcomes or their effects on growth trajectories, and whether and how the relationships vary over different contexts.

This seminar will consider the formulation of statistical models for these four sets of applications with continuous outcomes. The presentations will be conceptual and the instructor will demonstrate analyses using personal computers and provide time for “hands on” practice. We will use the software program HLM7 and the programming language R (mostly the lme4 package) in the seminar. Time permitting, we will look at the Bayesian estimation approach and use the WinBUGS program (Bayesian inferences using Gibbs sampler for Windows) for analyses as well. As students become more familiar with the approach, they will develop research projects. Students may wish to analyze their own data, analyze data provided by the instructor, simulate artificial data to evaluate the accuracy of the statistical methods, or conduct other methodological investigations.  We will offer a seminar on HLM II with categorical outcomes in Spring 2014. Bayesian estimation is one of the topics covered in part two of the sequence. 

The prerequisite for this seminar is a course on multiple regression. E-mail Fai at ycheong@emory.edu if you have any questions about the seminar.

Required text:

Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks: Sage Publications.

EDS 774 & PSYC 770 Research Seminar: Latent Variable Modeling

Cheong/Waldman, Tu 2:15-5:00, Max: 10

Content: In this seminar we will examine various aspects of latent variable modeling using the MPlus modeling framework (Muthén & Muthén, 1998-2012) for addressing substantive issues in psychometrics and measurement, and causal modeling / path analysis.  The course will include a mix of theoretical, conceptual, and "hands-on" approaches both in general and be centered around these specific substantive applications.

We will begin by quickly reviewing simple and multiple regression, and then -- after a consideration of the nature of causality embodied in structural equation models -- examine the basic statistical concepts and methods necessary for the analysis of various latent variable models. These concepts will include path diagrams and tracing rules, model specification and identification, solving a set of simultaneous equations, and estimation methods such as least squares and maximum likelihood and their extensions. We then will proceed to the application of structural equation modeling to causal modeling and path analysis with manifest and latent variables. Next, we will explore the use of latent variable models via exploratory and confirmatory factor analysis for:  1) testing psychometric hypotheses regarding the equivalence of multiple measures of constructs, 2) testing hypotheses regarding the underlying structure of a single measure both within and across populations, and 3) the use of Factor Mixture Modeling (FMM) for combining latent categorical and continuous variables in a classification context. We also will investigate Item Response Theory (IRT) as an alternative method for exploring issues in measurement and construct validity. We will then proceed to have several sessions exploring latent growth modeling and Growth Mixture Modeling (GMM) methods for characterizing individuals’ developmental trajectories, their relations to other variables, and the grouping of individuals based on their trajectories. We will end the course with a session on Behavior Genetic methods and a session and a half on student presentations on the application of latent variable models to their datasets and research questions. In our sessions, we also will include discussion of advanced topics such as the treatment of non-normally distributed data, the handling of missing and nested data, and sample size and power.

The primary goals for the course are to furnish students with an adequate conceptual and working understanding of latent variable modeling, such that they will be competent users of these techniques in their own research and effective critics of the application of these techniques in others' research.

E-mail Fai at ycheong@emory.edu if you have any questions about the seminar.

EDS 774 Research Seminar: Ethnographic Research Methods

Downey W 1:00-4:00, Max: 10

Content:

EDS 774P Professional Seminar

Jensen, TBA, TBA, Max: 20

EDS 799R Dissertation Research

Chang, TBA, TBA

EDS 799R Dissertation Research

Cheong, TBA, TBA

EDS 799R Dissertation Research

Downey, TBA, TBA

EDS 799R Dissertation Research

Hahn, TBA, TBA

EDS 799R Dissertation Research

Jensen, TBA, TBA

EDS 799R Dissertation Research

Siddle Walker, TBA, TBA

EDS 600 Graduate School Workshop

MacBeth, TBA, TBA

EDS 605 Teaching Assistantship

Jensen, TBA, TBA

EDS 610 TATT: Teaching Associateship

Jensen, TBA, TBA

EDS 999GSAS RES: Graduate Residence Full Time

Jensen, TBA, TBA