Introduction to Mplus

Session 2: May 3 – 5, 2017
Lisbon, Portugal
DoubleTree by Hilton Lisbon – Fontana Park

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Statistics Course Objectives

The 2.5-day training institute on SEM with Mplus will enable participants to:

  • Acquire a basic understanding of how structural equation models as applied in the social and behavioral sciences are analyzed using the software Mplus.
  • Gain expert knowledge in using Mplus and the ways in which one should formulate models, test alternative models, and evaluate models with regard to statistical and practical significance.

Course Syllabus

Euro Stats Camp 2017 – Intro to Mplus
Wednesday May 3rd
1:30 2:00 Welcome and Introductions
2:00 3:15 Intro to Mplus syntax and error messages
3:15 3:30 Snack and Refreshment Break
3:30 5:00 Reading in data and CFA Intro
Thursday May 4th
9:00 10:45 Q & A, CFA and Scale Setting (dealing with defaults)
10:45 11:00 Snack and Refreshment Break
11:00 12:30 Model Comparisons and Intro Invariance testing
12:30 1:30 Lunch
1:30 3:15 Computer exercises
3:15 3:30 Snack and Refreshment Break
3:30 5:00 Multiple Group Models
Friday May 5th
9:00 10:45 Q & A, Latent regression, Non-normal and categorical data
10:45 11:00 Snack and Refreshment Break
11:00 12:30 Mediation/bootstrapping, Moderation
12:30 1:30 Lunch
1:30 3:15 Misc topic (based on camper requests)
3:15 3:30 Snack and Refreshment Break
3:30 5:00 Wrap-up and Individual Consultations

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Course Resources
  • Breakfast (For Students Staying At Venue Hotel)
  • Lunch, and All-Day Tea/Coffee/Snack Service
  • After Class Networking Mixers

Statistical Methods Course Description


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 2.5-day workshop on using Mplus.

The course starts with an introduction of structural equation modeling with some emphasis on the specific way Mplus is used to specify and estimate models and how to deal with error messages. The second day introduces multigroup models, how to deal with Mplus defaults, and testing mediation using bootstrapping in Mplus. The third day covers more advanced topics that are introduced briefly (e.g. how Mplus deals with non-normal, categorical data, and longitudinal data). The third day also provides time for an additional topic based on camper request (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.

Instructor: Elizabeth Grandfield

Elizabeth  is a doctoral student 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.



Beth Grandfield Introduction to Mplus