Texas Tech University
TTU HomeIMMAP Stats Camp 2015

Stats Camp 2015

logo

Stats Camp 2015 will be held in Dallas, Texas!

Courtyard / TownPlace Suites Dallas DFW Airport North/Grapevine

 


 

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

The Early Bird registration deadline is on or before 11:59 p.m. (CST) on May 1, 2015.

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.

Courses

June 2 – 6, 2014:

1. Structural Equation Modeling: Foundations and Extended Applications (Todd D. Little & 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. Applied Latent Class Analysis and Finite Mixture Modeling (Katherine 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.

3. 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.

4. Item Response Theory (William P. Skorupski, instructor)

Theoretical and practical advantages of scaling assessment data using IRT. Introduction to various IRT models and their applications, including software training and opportunities for students to analyze their own data.

June 9 – 13, 2014:

5. 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.

6. 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.

7.Social Network Analysis with Siena  (Leslie Echols, instructor)

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.

8. Mediation and Moderation Modern Methods and Approaches (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. Structural Equation Modeling and Data Analysis 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.

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

 

TechStat

For more information click here.