Registration Includes:

• Access to SMORS (statistical modeling on remote servers). Included with every course:
– Mplus v8
– StatTransfer v13
– LISREL 9
– R (inclding simsem, sem Tools & Iaavan)
– Special Software Such as ADANCO Loaded as Needed For Specific Courses

*SAS/SPSS is not available. Students can use free SAS University Edition on their own machines. We are working to provide a generic version of SPSS.

• Hands-on software training included in every course. Stats Camp gives you access to advanced software, AND we teach you how to use it for your project.

• One-On-One consultation focused on YOUR research project. Bring your research data to Stats Camp, get your questions answered by our team of experts.

• Build the contacts that help build careers at Stats Camp. Stats Camp participants come from all over the world and all fields including Medicine, Government, Education, Finance, Engineering, Sociology, Psychology and many more.

Payment Options
University Graduate Data Analysis Training Courses

UNIVERSITY STATS CAMPS

Statistics Training Course:


Structural Equation Modeling (SEM) Foundations Training Seminar
September 30 – October 2, 2019
UCLA Math Sciences Building – Room TBD

Instructors:
Todd D. Little, Ph.D.,  Elizabeth Grandfield Ph.D.

A comprehensive 3-day Stats Camp seminar on the Foundations of SEM

Overview: This camp is an intensive short seminar using latent variable models; also called structural equation models. This seminar includes a series of lectures and examples to provide you with the foundations you need in the use of SEM. Topics include confirmatory factor analysis, multiple-group comparisons, factorial invariance as well as extended applications such as parceling. Even if you have taken a prior seminar on SEM, this seminar will serve as a refresher on basic concepts but also introduce you to the latest advances in the craft of structural equation modeling.

Participants will receive an electronic copy of all seminar materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the seminar.


Missing Data Analysis Training Seminar
September 30 – October 2, 2019
UCLA Math Sciences Building – Room TBD

Instructors:
Craig Enders, Ph.D.

An intermediate 3-day course introducing multiple imputation for missing data.

There have been substantial methodological advances in the area of missing data analyses during the last 25 years. Methodologists currently regard maximum likelihood estimation (ML) and multiple imputation (MI) as two state of the art missing data handling procedures.  These two procedures are advantageous because they use all available data, thereby mitigating the loss of power from missing data.  Moreover, these techniques make less strict assumptions about the cause of missing data, thereby providing accurate estimates and significance tests in a wider ranger of situations than traditional missing data handling techniques.  The purpose of this course is to familiarize participants with MI (and to a less extent, ML) and to demonstrate the use of these techniques using popular software packages. The goal of this course is to provide participants with the skills necessary to understand and appropriately implement MI and ML in their own research. To this end, the course will provide a mixture of theoretical information and computer applications. The course content will be accessible to researchers with a foundation in multiple regression.

Participants will receive an electronic copy of all course materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the course.

Stats Camp is an internationally recognized award winning educational event focused on advanced statistical training at the graduate and post graduate level. Each year, full week long Stats Camps and Mini Camps are held in locations throughout the world.

We hear it over and over again that our value and efficiency enables our students to propel their research forward!

“I was really amazed how comprehensive and hands-on the mini camp was. I am confident that I can take everything I learned, from the basic to the advanced topics, and employ them independently in my own research.”
-Katie Paschall, M.S., Doctoral Candidate The University of Arizona

“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