Introduction to Structural Equation Modeling for Graduate Students

May 27-29, 2020
Chapel Hill, North Carolina
Instructors: Dan Bauer and Patrick Curran
Software Demonstrations: Mplus and R (with additional electronic notes provided for Stata but no live breakout group)

Tuition: $100 processing fee only
Restricted to current graduate and professional students only (does not include post-doctoral fellows)

At Curran-Bauer Analytics, we have long been committed to providing broad access to high-quality training opportunities for students in the social, behavioral and health sciences. We are thus very excited to announce a new three-day workshop titled Introduction to Structural Equation Modeling for Graduate Students offered at a steeply reduced enrollment cost exclusively for students actively enrolled in a graduate or professional degree granting academic program. Total tuition is only a $100 processing fee.

Enrollment is limited to 35 individuals. To pre-register, please fill out the form below by March 20th. Participants who pre-registered will be selected by random lottery for admission and notified of their selection status by email no later than April 1st. If selected, a student has seven days to complete their formal enrollment in the workshop; if this is not completed in the seven day time period, the available slot will be released to an individual on the wait list.

We continue to offer our reduced student tuition for all of our 2020 workshops, including our full five-day version of Structural Equation Modeling offered May 11-15 as well as a five-day workshop on Longitudinal Structural Equation Modeling offered May 18-22. If a student is not able to enroll in the special three-day student offering of SEM, they may still enroll in our regularly scheduled five-day offering in the usual way.

Note that enrollment in the special three-day SEM does qualify for the multi-course discount on regularly offered workshops.

SEM 3-Day Pre-Registration - 2020

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Please contact us either via email or by phone (984.999.0636) if you need any additional information or have any further questions.