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Stats Camp 2015


Registration for Stats Camp 2015 in Dallas,TX Begins This September!

Courtyard / TownPlace Suites Dallas DFW Airport North/Grapevine


The new Stats Camp website will launch in September!



Registration Information

Register early and save! We are offering an early bird registration rate (see below for details). Graduate and post-doctoral students will receive a significant reduction in registration fees with proof of graduate student or post-doctoral status. 

If you have any questions, please contact Britt Gorrall

Register Here

Registration fees listed below reflect the registration cost per week. Register for two weeks of classes and $100 will be deducted from the total registration fee.

  Regular Early
Regular registration $1995 $1495
Graduate or post-doc student $1195 $795
Minority fellowship recipients $495 $495
TTU faculty $1295 $1295
TTU students  $695 $695


SMEP Minority Fellowships Available

The Society of Multivariate Experimental Psychology (http://www.smep.org/) is offering a trial scholarship for minority scholars to attend our summer institutes. For the purposes of the SMEP minority fellowships, minority is defined as Latino/a, African American, or Native American.

Prospective students should submit an application for a fellowship that includes copies of transcripts, a declaration of minority status, a statement of financial need, and a short personal statement that must address what you wish to accomplish from taking a summer institute course, including both short-term and long-term goals. All received applications will be reviewed by the faculty who teach the summer institute courses. We will rank order the candidates based on merit and need. Funds are limited, so not all applicants will receive support. Here is a link to the survey.


June 1 – 5, 2015:

1. Structural Equation Modeling: Foundations and Extended Applications *English  (Todd D. Little and Noel A. Card, instructors)

Topics include confirmatory factor analysis, multiple-group comparisons, factorial invariance as well as extended applications such as hierarchical models, multi-level SEM, and multi-trait-multi-method analyses. Opportunities for personal consulting and hands-on practice are provided.

2. Introduction to Social Network Analysis using R and RSiena (Leslie Echols and Michael Siciliano, instructors)

Introduction to social network analysis for exponential random graph models (ERGM; cross-sectional networks) and longitudinal networks using R and RSiena. With a focus on actor-oriented and tie-oriented characteristics of and changes within complete social networks, the course will survey a variety of approaches to analyzing network data at single or multiple points in time.

3. Mixture Distribution Modeling (Katherine E. Masyn, instructor) 

An introduction to "person-centered" data analysis. Topics include latent class analysis, latent class cluster analysis, modeling predictors and outcomes of latent class membership, and select longitudinal extensions such as latent transition analysis. Hands-on practice with Mplus is provided.

4.Multilevel Modeling: Foundations and Applications(James P. Selig, instructor)

The theory and practice of methods for analyzing hierarchically organized data. Topics include random effects, centering, multiparameter tests, plotting cross-level interactions, and other applications of multilevel modeling, including multilevel SEM.

5. Data Mining & Big Data Analysis (Eugene Wang, instructor)

6. Bayesian Data Analysis (John Kruschke, instructor)

7. Mediation and Moderation (Alexander Schoemann, instructor)

Classic and contemporary approaches to estimating moderation and mediation effects; topics include path analysis, indirect and direct effects, testing intervening variable effects, probing and plotting interactions, and combining moderation and mediation.

9. Psychometrics (Larry Price, instructor)

June 8 – 12, 2015:

1. Structural Equation Modeling: Foundations and Extended Applications *Spanish (Mauricio Garnier - Villarreal, instructor)

Los temas incluyen análisis de factores confirmatorio, comparaciones multigrupo, invarianza factorial así como aplicaciones ampliadas de modelos jerárquicos, modelos de ecuaciones estructurales multinivel y análisis multi -rasgo- multi método. Asimismo, se brindará espacio para consultas y para prácticas.

2. Structural Equation Modeling with Mplus (Rens van de Schoot, instructor)

Course includes introduction to SEM using Mplus ; advanced models (e.g., growth curve models and Latent Class modeling) and Bayesian statistics. Morning lectures are followed by afternoon computer lab activities with Mplus.

3. Longitudinal Structural Equation Modeling  (Todd D. Little, instructor)

Topics will include design and measurement issues in longitudinal research, traditional panel designs, latent growth curve analysis, as well as a brief survey of advance growth mixture modeling, multi-level SEM with longitudinal data and dynamic intra-individual modeling.

4.Advanced Structural Equation Modeling (Katherine E. Masyn, James P. Selig, Todd D. Little and Jaehoon Lee, instructors)

5. Foundations of Meta-Analysis  (Noel A. Card, instructor)

This course teaches 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.

6. BioStatistics (Jaehoon Lee, Katherine E. Masyn, James P. Selig and Todd D. Little, instructors)

7. Program Evaluation and Cost-Benefit Analysis (Eugene Wang, instructor)


**Disclaimer: Stats Camp courses are not offered as semester credit hours. 

Stats Camp Brochure

To access the brochure, click here.


For more information click here.