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!
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
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.
|Graduate or post-doc student||$1195||$795|
|Minority fellowship recipients||$495||$495|
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, 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.
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.
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.
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.
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.
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.
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.
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.
**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.