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1 FREE Night Included, Click Here to Book Your Room!

Venue Information: Embassy Suites By Hilton 1000 Woodward Pl NE, Albuquerque, NM 87102

Cancellation Policy:

If you cancel your registration at least two weeks prior to the day the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50). If you cancel within the 14 days prior to the course you may transfer the full amount towards any future course or receive a full refund (minus a processing fee of $295).

In the unlikely event that Stats Camp Foundation must cancel a course, our team will do our best to inform you as soon as possible with more information. Students then have the option of receiving a full refund of the course fee or a full credit towards another future course. In no event shall Stats Camp Foundation be held responsible for any incidental or consequential damages that you may incur because of the cancellation. Course disclaimer. All courses include 365 days of asynchronous access after event.

*You must register prior to the event start, attendance is NOT mandatory. However; CE credits are only available if you attend live for the duration of the course. (Includes: On-Demand, Livestream and In-Person courses, all Stats Camp Retreats are in-person attendance only.)


what students are saying

I can strongly recommend the Stats Camp Summer course in Longitudinal Mixture Modeling. It is as systematic and comprehensive as the very best of the research methods courses I have participated in since I moved from business to academics 12 years ago. It has been an important tool box for pulling apart differing effects in subpopulations for the coming generation of social and behavioral science researchers, starting now!
Best Statistics Training Course Online

Alan R. Johnson, Ph.D., Senior Research Fellow at NORD University, Bodø, Norway

Stats Camp is the place for a meeting of the minds and an opportunity to sit down and sort through complex ideas with people who can guide you, side-by-side, through the sticking points so you can get back into the flow. It’s amazing that something like this exists. Dr. Little has given the world a tremendous gift with Stats Camp. I walked in knowing nothing substantial and walked out delighted and better skilled.
Best Statistics Training Course Online

Benjamin Theisen, Ph.D., Business Psychology Consulting Group

The Summer Stats Camp training institute provides a wonderful opportunity for researchers and data analysts to learn the basic foundations of SEM as well as some advanced applications and research opportunities that SEM can facilitate. Dr. Little provides personable “hands-on”instruction in a relaxed and enjoyable environment. I highly recommend this summer institute to faculty and graduate students alike!
Best Statistics Training Course Online

Paul Schrodt, Ph.D., Professor and Director of Graduate Studies

Stats Camp was the most useful statistical training I’ve ever had. The instructors are down to earth and practical in their teaching style and the classroom environment was relaxed and non-threatening, which is necessary for such a potentially daunting topic. In particular, the one-on-one private consultation with my own data was invaluable, I highly recommend signing up for the Summer Stats Camp in Albuquerque!
Best Statistics Training Course Online

Kris Carlson, Ph.D., Sandia National Laboratories

I took both Foundations of SEM and Longitudinal SEM last summer and I have to say this has been one of the most useful learning experiences of my life. The courses were excellent! Everything was explained in a clear fashion with plenty of time for questions and practice. Learning was fun and the teaching happened at multiple levels, such that everyone would have a lot of knowledge gain regardless of their level of expertise.
Best Statistics Training Course Online

Rodica Damian, Ph.D., Associate Professor University of California, Davis

I was impressed with the amount of material Dr. Todd Little and team were able to cover in Summer Camp. The instructors moved at a pace appropriate for the participants, adapted the materials as we went along to accommodate this pace, and still offered individual consultations. I am confident that I can take everything I learned, from the basic to the advanced topics & employ them independently in my own research.
Best Statistics Training Course Online

Katie Paschall, Ph.D., Senior Research Scientist at Child Trends

The Stats Camp instructor’s clear and practical presentation of material that was once intimidating to me has uncovered a powerful analytic tool. I feel comfortable that I’ve learned the correct application of SEM Foundations and Extended Applications from experts in the field. At the same time, I was introduced to cutting edge statistics techniques and I understand the advantages of their practical use and application.
Best Statistics Training Course Online

Jenny Tehan, Ph.D., Department of Psychology University of Akron

The highlight of the summer break was attending ‘Stats Camp,’ an educational camp in Albuquerque New Mexico that provides advanced-level training in Statistics. The 5-day class I took (‘SEM with Mplus’) passed by quickly, as an information-packed series of lectures, hands-on examples, personal consultations, and jokes. Classes were small, lectures succinct/direct, and training content based on each individual student requests.
Best Statistics Training Course Online

Anna Yu Lee, PhD, MPH, MA, Counselor/Therapist

The Stats Camp expert instructors were clear, concise, and helpful in addressing questions. Before attending, I was concerned that I would have trouble truly understanding all of the concepts and material in such a short time, but the instruction was fantastic and not overwhelming. I particularly found it advantageous to stay on-site at the Embassy Suites so I could participate in all of the after hours networking events.
Best Statistics Training Course Online

Spiros Tzivelekis, Ph.D., GHE Director - Amgen

Thank you to Dr. Todd Little and his team for facilitating such a great statistical methods training workshop in Albuquerque. I absolutely got what I needed and was energized in my work when I returned to Cleveland. This was a wonderful experience that I will be sure to share with my colleagues here at CWRU. Now I am looking forward to mediation this summer in Albuquerque! Who knew I would be excited for more stats!
Best Statistics Training Course Online

Leigh-Ann Sweeney, Ph.D., Lecturer and Health Service Researcher

The Stats Camp instructors have an unmistakable dedication to research methods and data analysis of the very highest quality-but are remarkably balanced in their very obvious efforts to connect with others on a professional and personal level as very likable and real people. I really enjoyed the networking opportunities that the breakout sessions provided and will be returning for another Summer Camp soon!
Best Statistics Training Course Online

Chen Zhang, Ph.D., Faculty University of Memphis

I participated in the SEM: Foundations and Extended Applications course earlier this summer. It was such a wonderful statistics training opportunity that has, already, found lots of applications in various grant proposals and analyses. As I’ve said to several colleagues since, Stats Camp has a special ability to take something that prior to my arrival seemed overwhelming and complicated and make it seem so do-able.
Best Statistics Training Course Online

Amy K. Syvertsen, Ph.D., Applied Developmental Scientist

I can honestly say that for the first time in years I have been able to focus on myself and my research. I feel physically and mentally healthier than ever and I am excited about the cutting-edge knowledge and resources I am gaining in the rapidly evolving field of latent variable modeling. I am going to make it a goal to prioritize Statscamp for myself and graduate students on a yearly basis. Definitely recommend!
Best Statistics Training Course Online

Sarah D. Lynne-Landsman, Ph.D., Family, Youth & Community Sciences

IN PERSON – 5-day Statistics Short Course

Seminar Overview:

An introductory 5-day training course on using Mplus Structural Equation Modeling.

More and more researchers in the social and behavioral sciences use, or want to use, Mplus to analyze their structural equation models. This Stats Camp course is a 5-day hands on workshop using Mplus.

Seminar Topics:

The five-day training institute on SEM with Mplus will enable participants to:

  • Brief review of Structural Equation modeling (SEM)
  • Preparing and reading data into Mplus
  • Model specification and dealing with defaults
  • Procedures for fitting and testing Structural Equation Modeling (SEM) models (regression, path analysis, multiple groups, moderation ) in Mplus
  • Testing mediation (bootstrapping)
  • How to fit longitudinal models (Panel vs Growth curve models)

Note: This course will focus primarily on multivariate normal data that meets the assumptions of maximum likelihood estimation although other estimators available in Mplus will be briefly discussed.

Seminar Description:

The course starts with a brief review of structural equation modeling with emphasis on the specific way Mplus is used to specify and estimate models. We will also discuss some ways to deal with warnings and error messages. Next, we work with model specification and comparisons, multigroup models, DIF testing, moderation, and how to deal with Mplus defaults. We continue with testing predictive hypotheses and mean differences. Then, we will cover more advanced topics related to longitudinal data along with its additional assumptions and how to fit longitudinal SEM models in Mplus (e.g. how to specify longitudinal panel models, growth curve models, and how to test for mediation). The last day provides time for an additional topic based on camper requests (i.e. MLM, Power Analysis, etc.). The available choices of different estimation methods and statistical tests are also discussed.

On each day, the morning session consists of mini-lectures and examples, and the afternoon session is a computer lab where the topics of the morning are applied on example data. There will also be time to work on your own data and get feedback on your models. Bringing your own data is a plus for you, but definitely not a requirement for this course as we will have plenty of examples.

Participants from a variety of fields—including psychology, education, human development, public health, prevention science, sociology, marketing, business, biology, medicine, political science, and communication—will benefit from the course.

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

Instructor: Elizabeth Grandfield, Ph.D.

Mplus Structural Equation Modeling

Elizabeth received her Ph.D. in Quantitative Psychology at the University of Kansas. She is currently an Assistant Professor in the Department of Methodology and Statistics at Utrecht University in the Netherlands. Her research focuses on evaluating measurement invariance with an emphasis in longitudinal designs. In areas of applied research, Elizabeth has been involved in longitudinal children studies at Juniper Gardens as well as a national nursing study at Kansas University Medical Center, both in Kansas City. She also received the 2011 Multivariate Software Award, presented by Peter Bentler and Eric Wu. Elizabeth has been involved in Stats Camp since 2012.


APA Continuing Education Credits:

Mplus for Structural Equation Modeling

Please contact us for the exact # of Continuing Education Credits. Stats Camp Foundation is approved by the American Psychological Association to sponsor continuing education for psychologists. Stats Camp Foundation maintains responsibility for this program and its content.

Seminar Includes:

Materials, downloads, recorded course video viewable for up to one year.

Learning Objectives:

After engaging in course lectures and discussions as well as completing the hands-on practice activities, participants will:

  • Acquire an understanding of how Mplus syntax is structured and used to analyze structural equation models.
  • Evaluate and respond to common error messages generated by Mplus.
  • Set the scale in an SEM or CFA model in Mplus by overriding the program defaults for marker variable, fixed factor, and effects coding scaling methods.
  • Prepare data for input into Mplus.
  • Fit CFA models using Mplus.
  • Conduct model comparisons and invariance testing using Mplus.
  • Evaluate structural invariance in predictive models.
  • Evaluate panel models and growth curve models using Mplus.
  • Implement longitudinal designs, mediation, and bootstrapping in Mplus.

Seminar Prerequisites:


  • Intermediate proficiency in multiple linear regression (e.g., a second course in statistics is usually sufficient).
  • Intermediate proficiency with at least one statistical software package (e.g., SPSS, Stata, SAS, R, etc.).
  • At least limited experience (or basic awareness) with continuous latent variable models, e.g., exploratory and confirmatory factor analysis (EFA; CFA) and structural equation modeling (SEM).
  • Please email the instructor if you have any questions or concerns. Some introductory literature/articles can be recommended/provided before the course begins.

Not required but advantageous:

  • At least limited experience with multivariate data analysis.

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Latent variable modeling using Mplus.
  • Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.

Software and Computer Support:

Participants need to bring a laptop computer with Wi-Fi capabilities.

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

Instruction will be provided for the methods using the most current version of Mplus (base program with mixture add-on or base program with combination add-on). Mplus is available for Windows, Mac, and Linux environments.  Information for purchasing a personal license can be found at www.statmodel.com.

Seminar Audience:

If you need to analyze your data in Mplus or if you want to know when to switch to Mplus, this seminar is for you. You should have some (basic) experience with other SEM software, for example AMOS, LISREL, openMX, SAS. No previous knowledge of Mplus is assumed. You do not need to know matrix algebra, calculus, or likelihood theory, or any knowledge on Bayesian statistics. Participants from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication, will benefit from the seminar.

Seminar Files

Instructor will provide password on first day of seminar.

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

Monday June 12, 2023
9:00-9:30 Welcome and introductions
9:30-10:45 SEM: Brief Review
10:45-11:00 Rest Break
11:00-12:30 Intro to Mplus syntax and common error messages
12:30-1:30 Rest Break
1:30-3:00 Scale setting in CFA/SEM (overriding Mplus defaults)
3:00-3:15 Rest Break
3:15-5:00 Computer exercises and getting your data ready for Mplus
Tuesday June 13, 2023
9:00-10:45 Q&A, Fitting CFA models, Model comparisons
10:45-11:00 Rest Break
11:00-12:30 Intro to Invariance testing (Multiple group models and moderation)
12:30-1:30 Rest Break
1:30-3:00 Mplus examples
3:00-3:15 Rest Break
3:15-5:00 Computer exercises
Wednesday June 16, 2023
9:00-10:45 Q&A and catch up
10:45-11:00 Rest Break
11:00-12:30 Structural Invariance, predictive models
12:30-1:30 Rest Break
1:30-3:00 Mplus examples, exercises
3:00-3:15 Rest Break
3:15-5:00 Computer exercises and camper hypothesized models
Thursday June 15, 2023
9:00-10:45 Q&A and catch up, longitudinal SEM
10:45-11:00 Rest Break
11:00-12:30 Panel vs growth curve model specification in Mplus
12:30-1:30 Rest Break
1:30-3:00 More on longitudinal, mediation, bootstrapping in Mplus
3:00-3:15 Rest Break
3:15-5:00 Computer exercises and working with your own data
Friday June 16, 2023
9:00-10:45 Q&A and catch up
10:45-11:00 Rest Break
11:00-12:30 Misc topic (based on camper response to survey)
12:30-1:30 Rest Break
1:30 ~ 3:00 One-on-one consultations with instructor

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