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Multilevel Modeling: Foundations and Applications
Five-day Course • June 10 - 14, 2013• Lawrence, Kansas
Presented by the Quantitative Training Program of Psychology and the Center for Research Methods and Data Analysis at the University of Kansas.
Institute Overview
The theory and practice of methods for analyzing hierarchically organized data. Topics include random effects, centering, multiparameter tests, plotting cross-level interactions, and other applications of multilevel modeling.
This intensive short course in the fundamentals of multilevel modeling (MLM) consists of a series of lectures and computer practica covering the theory and practice of methods for analyzing hierarchically organized data. Through didactic group lectures and one-on-one training with software, participants will learn how to design multilevel studies, estimate and interpret random effects, model longitudinal data, center predictors, conduct multiparameter tests, and analyze cross-classified and multiple-membership data. MLM has many applications across the fields of psychology, education, sociology, political science, business, public administration, and other areas.
Objectives
The institute on Multilevel Modeling will enable participants to:
- Acquire a basic understanding of multilevel modeling techniques as applied in the social and behavioral sciences.
- Develop a clear understanding and appreciation of the conceptual and mathematical bases of MLM.
- Gain knowledge of the ways in which one should formulate models, test alternative models, and evaluate models with regard to statistical and practical significance.
- Become acquainted with a variety of models that are special cases of the basic multilevel model (e.g., random effects ANOVA and ANCOVA).
- Become proficient in the use of the program SPSS for analysis of multilevel models.
Audience
This course will be helpful for researchers, with a basic background in statistics, wishing to learn how to analyze nested or hierarchically ordered data sets (e.g. students within schools, employees within organizations, and repeated measures within people). Participants should have a good working knowledge of the principles and practice of multiple regression and elementary statistical inference. You do not need to know matrix algebra, calculus, or likelihood theory.
Participants from a variety of fields— including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication— will benefit from the course.
The course will emphasize the use of SPSS for multilevel modeling. Some assistance will be available for questions related to other multilevel modeling packages. Nearly all the techniques taught in the course can be translated fairly easily to most other packages.
Instructors
James P. Selig, Ph.D., is an assistant professor of educational psychology at the University of New Mexico. He holds a Ph.D. in quantitative psychology from the University of Kansas. His areas of interest include models for longitudinal data, multilevel modeling, and structural equation modeling.
Kristopher J. Preacher, Ph.D., is an assistant professor of quantitative psychology at Vanderbilt University. He holds a Ph.D. in quantitative psychology from Ohio State University, and taught for five years at the University of Kansas before moving to Vanderbilt. He conducts research and publishes on multilevel modeling, structural equation modeling, and other advanced regression techniques.
Software and Computer Support
SPSS - A 14 day trial version of SPSS is available from www.spss.com. Participants should ensure their installed copy is patched to its latest release.
You will receive a thumb drive containing all course materials, including PowerPoint slides, syntax, output files, relevant supporting documentation, recommended readings and data.
Syllabus
Multilevel Modeling: Foundations and Applications
James P. Selig
University of New Mexico
Kristopher J. Preacher
Vanderbilt University
| Monday | June 10, 2013 |
| 9:00 – 10:00 | Welcome & Introductions |
| 10:10 – 10:30 | Review of Ordinary Least Squares Regression |
| 10:45 –12:00 | Multilevel Data Structures and Random Effects |
| 12:00 – 1:30 | Lunch * |
| 1:30 – 3:00 | Designing Multilevel Studies: Adding Predictors |
| 3:15 – 5:00 | Designing Multilevel Studies: Model Building Strategies |
| 5:00 – 8:30 | Free BBQ (burgers, veggie burgers, brats) and open beer/wine bar at Holiday Inn |
| Tuesday | June 11, 2013 |
| 9:00 – 10:15 | Centering |
| 10:30 – 12:00 | Within-Level and Cross-Level Interactions |
| 12:00 – 1:30 | Lunch * |
| 1:30 – 2:15 | Simple Slopes Analysis |
| 2:15 – 3:30 | Estimation |
| 3:45 – 5:00 | Multiparameter Tests and Model Selection |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Wednesday | June 12, 2013 |
| 9:00 – 10:30 | Multilevel Modeling of Longitudinal Data |
| 10:45 – 11: 30 | The Metric of Time |
| 11:30 – 1:00 | Lunch * |
| 1:00 – 3:00 | Alternative Error Structures |
| 3:15 – 5:00 | Time-Varying Covariates |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Thursday | June 13, 2013 |
| 9:00 – 10:30 | Multivariate Multilevel Models |
| 10:45 – 11:30 | Power Analysis and Sample Size |
| 11:30 – 1:00 | Lunch * |
| 1:00 – 3:00 | Three-Level Models |
| 3:15 – 5:00 | Individual Consultation |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Friday | June 14, 2013 |
| 9:00 – 10:30 | Modeling Nonlinearity |
| 10:45 – 12:00 | Multilevel Models for Nonhierarchical Data |
| 12:00 – 1:30 | Lunch * |
| 1:00 – 4:00 | Individual Consultations |
* Our group lunch is included in the Holiday Inn room rate and tickets for the group lunch are also available for purchase for those not staying at the Holiday Inn. There are other lunch options in Lawrence as well.
Course Files
Below are links to course files for those who enrolled in the course. 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.
Coming soon.
Contact Information
For information on course content, contact James P. Selig or Kristopher J. Preacher
A full list of prices and fellowship opportunities for this course and all the courses offered at this year's Summer Institutes in Statistics can be found on the Fees and Registration Page.