Join North Carolina Agricultural and Technical State University— a vibrant community of educators, researchers, and innovators— on September 25-26, 2025, at Koury Convention Center in Greensboro for a conference exploring how Artificial Intelligence is reshaping teaching, learning and research across disciplines.
This course will take place over two days (9/24/2025 and 9/26/2025) 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. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.
This online training will provide an introduction to qualitative data analysis, focusing on content/thematic analysis. The session will cover the basics of qualitative data analysis and steps in the analysis process, including transcribing, memoing, codebook development and coding, exploring content areas or themes, and interpreting and communicating findings. Participants will have the opportunity to practice developing and applying codes. Please note: We will not be demonstrating how to use qualitative data analysis software during this session.
This event may be recorded. Materials such as slides or handouts will be shared with documented attendees only.
Presenters:
MaryBeth Grewe, MPH and Simone Frank, MPH
NC TraCS Qualitative Research Service