SEM with Mplus Seminar

Session 2: June 8 – 12, 2020
Albuquerque, NM – Embassy Suites


FAQVenue Info – Hotel Booking
$1,895 Faculty/Professional or $1,145 Student/Post-Doc

Payment Options
Details Per Course Select Option
Professionalshow details + $1,895 (USD)  
Studentshow details + $1,145 (USD)  

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Course Topics

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

  • Brief review of SEM
  • Preparing and reading data into Mplus
  • Model specification and dealing with defaults
  • Procedures for fitting and testing 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.

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 structural equation models are analyzed in Mplus.
  • Gain knowledge in using Mplus, including how to override program defaults.
  • Specify, estimate, evaluate, and compare different SEM models using the Mplus software.
  • Interpret and present the results of an SEM model.
  • Evaluate models with regard to statistical and practical significance.

Seminar Syllabus

Monday June 8, 2020
9:00-9:30 Welcome and introductions
9:30-10:45 SEM: Brief Review
10:45-11:00 Snack and refreshment break
11:00-12:30 Intro to Mplus syntax and common error messages
12:30-1:30 Lunch break
1:30-3:00 Scale setting in CFA/SEM (overriding Mplus defaults)
3:00-3:15 Snack and refreshment break
3:15-5:00 Computer exercises and getting your data ready for Mplus
5:30~7:30 Social “hour” for all Stats Campers
Tuesday June 9, 2020
9:00-10:45 Q&A, Fitting CFA models, Model comparisons
10:45-11:00 Snack and refreshment break
11:00-12:30 Intro to Invariance testing (Multiple group models and moderation)
12:30-1:30 Lunch break
1:30-3:00 Mplus examples
3:00-3:15 Snack and refreshment break
3:15-5:00 Computer exercises
Wednesday June 10, 2020
9:00-10:45 Q&A and catch up
10:45-11:00 Snack and refreshment break
11:00-12:30 Structural Invariance, predictive models
12:30-1:30 Lunch break
1:30-3:00 Mplus examples, exercises
3:00-3:15 Snack and refreshment break
3:15-5:00 Computer exercises and camper hypothesized models
Thursday June 11, 2020
9:00-10:45 Q&A and catch up, longitudinal SEM
10:45-11:00 Snack and refreshment break
11:00-12:30 Panel vs growth curve model specification in Mplus
12:30-1:30 Lunch break
1:30-3:00 More on longitudinal, mediation, bootstrapping in Mplus
3:00-3:15 Snack and refreshment break
3:15-5:00 Computer exercises and working with your own data
Friday June 12, 2020
9:00-10:45 Q&A and catch up
10:45-11:00 Snack and refreshment break
11:00-12:30 Misc topic (based on camper response to survey)
12:30-1:30 Lunch break
1:30 ~ 3:00 One-on-one consultations with instructor

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily

Statistical Methods Seminar Description

Overview: An introductory 5-day training course on using Mplus for SEM.

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.

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.

Elizabeth Grandfield received her Ph.D. in Quantitative Psychology at the University of Kansas. 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.  

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.

Course Prerequisites

Required:

  • 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.

Course 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 Files

Seminar files will be provided on the first day of class. Please download these files onto your computer on the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.

SEM with Mplus Course on Statistics