COVID-19 UPDATE: The safety of our students and staff is our top priority. Therefore, Stats Camp will be holding seminars online via live interactive zoom discussion groups. Our goal is to expand on the interactivity side and provide one-on-one consulting time via virtual breakout rooms. We are offering a discount code to a future camp worth $200 off and we are offering 1-hour of post camp consultation as an added value. Registrations will be accepted up to 12 hours prior to seminar start date and time. All seminars will be conducted in CDT time and will be recorded. The recordings will be made available to you within 3-5 business days of the live recording date. Access will be granted to the recorded videos for 1 year from the date of the seminar. Have questions? Contact us
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.
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.
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 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.
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