Brigham Young University

The workshop will be held in room 103 of the Kimball Tower on the campus of Brigham Young University. Lunch will be provided each day of the workshop at no extra cost, along with light snacks and beverages. Workshop participants can find housing at local hotels or even at the neaby Sundance Resort . A shuttle from local hotels and on-campus parking can be arranged by sending an email to laurel_bishop@byu.edu.

Around BYU there are many great places to go have some fun including the Rocky Moutains, Arches National Park, Canyonlands National Park, and Bryce Canyon National Park. At these various locations fun activites include hiking, fishing, and boating. We encourge you to take time visit these locations while attending the seminar.


June 19th, 2019
Mplus Pre-Conference Workshop

Longitudinal SEM Summer 2019 Workshop
June 20 and 21, 2019


19th June

Mplus Pre-Conference Workshop:

  • Data prep
  • Basic syntax
  • Introduction to latent variable models, regression models, and path models

20st June

Day 1:

  • Basic intro to SEM
  • Data prep for longitudinal SEM
  • Data analyses with two time points
  • Examining measurement equivalence across time
  • Introduction to growth curve modeling

21nd June

Day 2:

  • Adding predictors to growth curves (time variant and invariant)
  • Dual growth curves
  • Growth mixture modeling

Learn and Do:

This workshop is a “Learn and Do” Workshop. The workshop includes time to set up, analyze, and interpret models using your own data.

Prior Workshops

Handout packout and USB with examples of models

Hands-on learning

Assistance with multiple stats programs

Multiple people to help with data during the workshop

Layout of the workshop - time to listen, time to work with own data

"This class helped me understand the basics of SEM while exciting me for what I can do in the future."

"This workshop was great for a refresher in the different statistical programs and strengths and weaknesses of each program when it came to different advanced statistical techniques. It was also great for getting some supported practice with data using programs that may not be as familiar."

"The presenters are able to take complex analyses and methods and explain them in simple everyday tems that make sense and are easy to understand."

"The workshop was a great opportunity to learn how to analyze my own data with the guidance of professionals."


Registration Cost

  • $700 for two day workshop and pre-workshop tutorial

  • $500 for two day workshop only

  • $150 for pre-workshop tutorial only

Registration Cost when Two or More from the Same University are Registering ($100 discount per person*)

  • $600 for two day workshop and pre-workshop tutorial

  • $400 for two day workshop only

  • $100 for pre-workshop tutorial only

Registration Cost for Students

  • $300 for two day workshop and pre-workshop tutorial

  • $200 for two day workshop only

  • $100 for pre-workshop tutorial only

*Student pricing is the same regardless of multiple attendees from the same university, yet if a student accompanies a faculty member, the faculty member may register with the discounted price.
*Lunch is included in the cost for each day of the conference.

Virtual Attendance Registration

A video link will be shared so you can attend virtually. Questions can be submitted during the workshop via email, and this registration comes with a 30 minute consultation after the workshop to help answer any remaining questions).

  • $350 for two day workshop and pre-workshop tutorial
  • $250 for two day workshop only
  • $150 for pre-workshop tutorial only

*Virtual attendance registration cost is the same for students and regardless of the number of attendees from the same institution.

What to bring

  • Your own laptop with data processing software (SPSS or Stata or SAS, or other data processing software) and SEM software (MPlus or Amos or Stata, or other SEM software)

  • Limited laptops are available for loan. If you need to borrow a laptop please contact Laurel Bishop at Laurel_Bishop@byu.edu

  • Please bring your own data to analyze. We will provide data you can use for practice, but if you can bring your own data we will help you analyze it. It helps if you can "clean" your data prior to the workshop by creating scales you plan to use. In addition to whatever cleaning you do, please also (1) trim the dataset to have 300 or fewer variables, (2) remove any “string” variables that have text in them, and (3) set all of the missing data values to be the same value (for example, set all missing to equal -9999).

    If you need help with any of these 3 steps, please contact one of the presenters.


Jeremy Yorgason,

Jeremy B. Yorgason is an Associate Professor in the School of Family Life, and Director of the Gerontology Program at Brigham Young University. He received his PhD from Virginia Tech in marriage and family therapy. He also completed a graduate gerontology certificate at Kansas State University, and was a post-doctoral fellow at the Gerontology Center of Penn State University, with an emphasis in mental health and aging. Dr. Yorgason's research interests are in the area of later life family relationships, with a specific focus on health and marriage. Dr. Yorgason has taught structural equation modeling and other advanced applied statistics to graduate students for the past 7 years, and has used these techniques in several published papers. He and Dr. Dyer have taught the Longitudinal, Family SEM Workshop for the past 5 years.

Justin Dyer,

W. Justin Dyer received his Ph.D. in Human and Community Development from the University of Illinois at Urbana-Champaign after which he was a Postdoctoral Fellow at Auburn University. Following this he joined the faculty in the BYU School of Family where he taught courses on family processes and statistical methodology. He became part of the Religious Education faculty in 2015 and currently teaches the Eternal Family course (Religion C 200). His research area includes fatherhood with a particular emphasis on fathers in stressful circumstances such as fathers of children with disabilities and incarcerated fathers. His research also includes faith development in youth and how family processes influence that development. He has also written on the importance of the male-female relationship from a societal and theological perspective.

Spencer James,

Spencer L. James is an Associate Professor in the School of Family Life. He received his PhD from Penn State University in Sociology and Demography as well as a doctoral certificate in Quantitative Methodology. In 2012, he joined the faculty of the BYU School of Family Life where he teaches courses on research methodology and statistics at both the undergraduate and graduate levels. His research focuses on the wellbeing of families and children in developed and developing countries. Specifically, he studies how people form, maintain, and dissolve long-term romantic relationships; how emerging adults think about marriage and its consequences; and the influence of family relationships on child well-being in the developing world, particularly sub-Saharan Africa.

Registration deadline is June 7th, 2019