STATISTICS TRAINING SEMINARS
Internationally recognized award winning instruction focused on advanced statistical training at the graduate and post-graduate level.
Short Intensive Statistics Seminars for Students, Faculty & Professionals Worldwide
SPRING STATISTICS SEMINARS: Atlanta, GA February 15 – 17, 2019 | Event Details
Comprehensive SEM
Instructors: Todd Little, Ph.D.
& Elizabeth Grandfield, Ph.D. Candidate
The seminar will be a series of lectures and exercises to provide you with advanced training in the use of SEM for the analysis of both cross-sectional and longitudinal data.
Introduction to Multilevel Modeling Using R
Instructor: Alexander Shoemann, Ph.D.
This seminar is designed to introduce theoretical and applied understandings of multilevel modeling. The fundamentals of multilevel modeling are taught by extending knowledge of regression analyses to designs involving a nested data structure.
Program Evaluation and Cost Benefit Analysis
Instructor: Mwarumba Mwavita, Ph.D.
The three-day training institute on Program Evaluation and Cost-Benefit Analysis is an intensive short seminar on the principles and practice of program evaluation, cost-effectiveness, and cost-benefit analysis.
Programming in R
Instructor: Audrey Leroux, Ph.D.
R is a freely available, open source software platform that is growing in both popularity and capacity. The first part of the seminar introduces the logic of R’s primary data structures and how to work with functions.
Psychometrics
Instructor: Larry Price, Ph.D.
An introductory 3-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.
What’s Provided?
– Course Materials & Downloads
– Theoretical Information
– Computer Applications Training
– S.M.O.R.S. Statistics Software Access
– World Class Statistics Training
– Streaming Video of Your Course
World-class instructors teach you statistics in an engaging, affordable, and understandable short course seminar.
SUMMER STATISTICS SEMINARS: Albuquerque, NM June 3 – 7 & 10 – 14, 2019 | Event Details
Session 1: June 3 – 7
Introduction to Social
Network Analysis R & Rsiena
Instructors: Leslie Echols Ph.D. & Michael D. Siciliano Ph.D.
Latent Class Analysis
Instructor: Katherine Masyn, Ph.D.
Multilevel Modeling
Instructor: Audrey Leroux, Ph.D.
Psychometrics
Instructors: Larry Price, Ph.D. & Todd Little, Ph.D.
Program Evaluation
Instructor: Mwarumba Mwavita, Ph.D.
SEM Foundations
Instructors: Todd D. Little, Ph.D. & Elizabeth Grandfield, Ph.D. Candidate
R Programming for Data Science
Instructor: Daniel E. Bontempo, Ph.D.
Replication, Reproducibility, and Research Accumulation
Instructor: Noel Card, Ph.D.
Session 2: June 10 – 14
Advanced Structural Equation
Modeling: Bayesian SEM
Instructor: Mauricio Garnier-Villarreal, Ph.D.
Applied Longitudinal Mixture Modeling
Instructor: Jeffrey Harring, Ph.D.
Bayesian Data Analysis
Instructor: Mike Kalish, Ph.D.
Introduction to Data Mining
Instructor: Gitta Lubke, Ph.D.
Longitudinal SEM
Instructosr: Todd D. Little Ph.D. & Elizabeth Grandfield, Ph.D. Candidate
Mediation & Moderation
Instructor: Mwarumba Mwavita, Ph.D.
Meta-Analysis
Instructor: Noel Card, Ph.D.
Multilevel SEM with xxM
Instructor: Paras Mehta, Ph.D.
SEM with Mplus
Instructor: Elizabeth Grandfield, Ph.D. Candidate
STUDENT TESTIMONIAL
“Stats Camp is the best ever—hands down! Virtually everything about it is superb—material presented is thorough and well documented, slide content is always clear and readable, time for questions and discussion is generous. Participants are also provided with an abundance of supportive resources. In my view, Todd Little’s Stats Camp is an absolute gold mine.”
-Barbara Byrne, School of Psychology, University of Ottawa