Statistical Methods Seminar Description
Overview: An intermediate 5-day course introducing multilevel modeling for analyzing hierarchically organized data.
- Review of regression and methods of handling nested data
- Random intercept and random slope models
- Testing and interpreting interactions in multilevel models
- Longitudinal multilevel modeling
- Three-level modeling
- Cross-classified random effects modeling
Note: This course will focus primarily on with a single outcome variable. As such, this course will not provide an in-depth coverage of multilevel SEM (MSEM). See the Summer Stats Camp course, Multilevel SEM with xxM, for training in this topic area.
Instructor: Alex Schoemann, Ph.D.
Dr. Alexander M. Schoemann, is an Associate Professor of Psychology at East Carolina University. Alex received his PhD from the University of Kansas in 2011 in Social and Quantitative Psychology under the mentorship of Dr. Kristopher Preacher. He has been a Stats Camp instructor since 2012 (after spending several years as a “counselor”). Alex teaches graduate courses in research design, regression, multivariate statistics, structural equation modeling and multilevel modeling. His research is focused on applying advanced quantitative methods to data from behavior sciences. Specific topics of interest include mediation and moderation, power analyses, missing data estimation, meta-analysis, structural equation models and multilevel models. Alex is also interested in developing user-friendly software for advanced methods including applications for power analysis for mediation models (http://marlab.org/power_mediation/).
Seminar Learning Goals
After engaging in course lectures and discussions as well as completing the hands-on practice activities with real data, participants will be able to:
- Acquire an understanding of multilevel modeling techniques as applied in the educational, social, health, and behavioral sciences
- Manage and clean multilevel data for analysis
- Specify, estimate, evaluate, and compare different multilevel models using R software
- Interpret and present the results of a multilevel modeling analysis
- Critically evaluate applications of multilevel modeling in scientific studies
- Become acquainted with multilevel modeling for binary outcomes and for non-purely hierarchical data
Participants will also complete the course with a foundation for future learning about multilevel modeling and knowledge about available resources to guide such endeavors.
- Advanced proficiency in multiple linear regression, including use of categorical independent variables
- Intermediate fluency with statistical software (e.g. SAS, SPSS, or R) which will aid in the use of R (Note that materials for introducing attendees to R software will be shared in advance and the course will begin with a short introduction to R).
Not required but advantageous:
- At least limited experience (e.g., graduate-level course) with multivariate data analysis.
- At least limited experience in binary logistic regression
- At least limited experience using R
No level of proficiency beyond basic awareness is assumed for skills related to:
- Multilevel Modeling.
- Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.
Seminar 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.
Note, however, that R and RStudio are the software programs that will be demonstrated. Both programs are free and can be downloaded from https://cloud.r-project.org/ and https://www.rstudio.com/products/rstudio/download/, respectively. Additional directions will be shared with enrolled participants.
Note: Limited examples will also be provided in SPSS and SAS but the majority of the course will be taught using R.
Below are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer before 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.
After May 1st: Click Here to Access The Multilevel Modeling Seminar Files