An intermediate 4-day course introducing and practicing the concepts of Advanced Structural Equation Modeling: Bayesian SEM. The goal of the Bayesian SEM is to provide instruction in the application SEM from the Bayesian paradigm. It will cover the application of models commonly implemented in frequentist SEM, and in models that are complicate or impossible to estimate in the frequentist paradigm. This seminar is design to portray the advantages of the Bayesian paradigm, both philosophical and practical, within the application of SEM.
This 4-day camp is an advanced intensive short seminar in the analysis of longitudinal data using SEM. The seminar will be a series of lectures and computer workshops to provide participants with advanced training in the use of SEM for the analysis of longitudinal data.
Instructors: Todd D. Little, Ph.D. & Whitney Moore, Ph.D.
A comprehensive 4-day Stats Camp seminar on SEM Foundations & Extended Applications.Do you want to take your measurement to the latent level? Well, this is it, you have found it, the foundation to what you need to know for latent variable modeling - structural equation modeling (SEM)! Most campers report their prior training was insufficient and/or outdated. We will introduce you to the current techniques and advances in SEM as well as guide you through the steps to ‘craft’ an exquisite SEM model.
Instructors: Todd D. Little, Ph.D. & Zachary Stickley, Ph.D.
An introductory 4-day seminar covers SEM with a focus on the statistical software R.This seminar is designed to introduce the theoretical and applied understandings of latent variable models also called SEM. Topics covered include confirmatory factor analysis models, multiple group models, mediation, moderation, and longitudinal models.
Instructor: Alex Schoemann, Ph.D.
An introductory 4-day course in the application of psychometrics.Participants should be proficient specific to the material covered in a two-semester graduate-level social science statistics course sequence.
Instructor: Larry Price, Ph.D.
A comprehensive 4-day Stats Camp seminar on Latent Profile Analysis.An introduction to “person-centered” data analysis. Topics include latent profile analysis (aka, latent class cluster analysis), and modeling predictors and outcomes of latent profile membership. Hands-on practice with Mplus is provided.
Instructor: Whitney Moore, Ph.D.
A comprehensive 4-day Stats Camp seminar on Longitudinal SEM.This camp is an advanced intensive short course in the analysis of longitudinal data using SEM. The course includes a series of live lectures along with time for individual and group consultation time to provide participants with the tools needed to use of SEM for the analysis of longitudinal data.
Instructors: Todd Little, Ph.D. & Elizabeth Grandfield, Ph.D.
A comprehensive 4-day Stats Camp seminar on Mediation and Moderation.Researchers are no longer simply interested in if one variable (X) is related to another (Y). Instead, research questions such as: “Why is X related to Y?” and “When is X related to Y?” abound. This course addresses methods to test why two variables are related (mediation) and when two variables are related (moderation).
Instructor: Mwarumba Mwavita, Ph.D.
An intermediate 4-day course introducing and practicing the concepts of systematic reviewing and conducting a meta-analysis using R.Systematic review and meta-analysis are techniques used to synthesize and summarize large bodies of research literature. Compared to results from a single primary study, results from a meta-analysis provide greater generalizability, increased precision, and the ability to explore heterogeneity across studies. You will use the latest techniques and technical tools to conduct a high-quality systematic review and meta-analysis. You will learn hands-on, practical, and applied approaches to conducting reviews by combining lectures with practice material designed to enable you to conduct future meta-analyses.
Instructor: Joshua R. Polanin, Ph.D.
An intermediate 4-day course introducing and practicing the concepts of Item Response Theory Models in R.This interactive training course will introduce the concepts of unidimensional and multidimensional IRT models and provide instruction, demonstration, and hands-on opportunities of using the free R software to estimate commonly used IRT models.
Instructor: Ki Cole, Ph.D.
An introductory 4-day course in the application of network psychometrics.Participants should be proficient specific to the material covered in a two-semester graduate-level social science statistics course sequence.
Instructor: Larry Price, Ph.D.
Analytical competence is of great importance to conduct social and psychological research. The Optentia Research Focus Area, in collaboration with two international experts on statistical analysis (Prof. Todd D Little and Prof. Rens van de Schoot), will present this Stats Camp retreat. Stats Camp is an internationally recognized award-winning educational event focused on advanced statistical training at a graduate and postgraduate level. We want to help you tackle any issues you are facing with your personal research project.