About The Event
A 6-hour workshop taught by Paul Umbach, Ph.D.
Regression workshop series discount!
Register for this along with our workshops on Logistic regression: Analyzing binary outcomes and Refresher on multiple regression for the applied researcher for only $550 (would normally cost $700 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes.
Overview:
Researchers and evaluators across various disciplines frequently encounter data with a hierarchical structure, such as students nested within schools, employees within firms, or repeated measures within individuals. This nested structure violates the assumption of statistical independence in conventional single-level analytical techniques, such as linear regression, leading to potential inaccuracies. Additionally, traditional methods often fail to leverage the complexity and variability inherent in such data.
This workshop offers an introduction to multilevel models (also known as hierarchical linear models or general linear models)—a statistical approach designed to address these challenges. Participants will learn how multilevel models account for nesting effects, avoiding problems associated with aggregation and disaggregation, while maximizing the potential of complex data structures.
The workshop emphasizes the application of multilevel models in education and the social sciences, with a focus on research related to school or college effects, organizational studies, evaluation research, and the analysis of individual change.
Expected outcomes:
By the end of this workshop, you should be able to:
- Explain the conceptual foundations of multilevel models.
- Identify the advantages and limitations of multilevel modeling compared to other approaches for nested data.
- Model slopes and intercepts as outcomes.
- Develop and interpret two-level models.
- Construct growth models within a multilevel framework.
- Analyze and explain outputs from multilevel modeling software.
- Apply practical tools and strategies for testing and refining multilevel models.
- Evaluate and critique research utilizing multilevel modeling.
- Expand beyond basic two-level models to advanced techniques, including three-level models, growth models, and cross-classified multilevel models.
Pricing and schedule:
Series discount – Register for this along with our workshops on Logistic regression: Analyzing binary outcomes and Refresher on multiple regression for the applied researcher for only $550 (would normally cost $700 for all three). If you are interested in the workshop series, email us at mail@percontor.org for discount codes.
We offer $50 discounts for graduate students and $25 discounts for multiple workshop enrollments (cannot be combined with other discounts, including the workshop series price above).
The main workshop material is scheduled for six hours. Time permitting, Dr. Umbach will answer questions about participants’ specific research projects. Participants can ask questions via chat, microphone, or telephone. In order to allow sufficient time for questions, the number of workshop participants is limited to 30.
Demonstrations will use Stata. However, Stata is not required to participate, as multilevel modeling can be done in nearly every statistical software package (e.g. SAS, SPSS, R).
Who should attend?
This workshop is ideal for researchers and evaluators who have a working knowledge of multiple regression and who are looking to deepen their knowledge of handling nested data. Those needing a refresher on regression are encouraged to enroll in our Refresher on multiple regression for the applied researcher workshop before attending.
Agenda:
- The need for multilevel models
- Brief review of multiple regression
- Slopes and intercepts as outcomes
- Centering variables
- Building a two-level model
- Null model
- Within model
- Full model
- Grow models
- Extensions of the two-level model
- Three-level models
- Cross-classified models
