This course will take place over two days (10/29/24 and 10/31/24) and will be offered via Zoom. Attendance is required as the course will not be recorded.

Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist), longitudinal data structures (repeated measures nested within individual), or both (repeated measures nested within patient and patient nested within therapist).

It is well known that the analysis of nested data structures using traditional general linear models (e.g., ANOVA or regression) is flawed, oftentimes substantially so: Tests of significance are likely biased and within- and between-group effects are confounded with one another. All of these limitations can be addressed within the multilevel model.

This workshop provides an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.

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