Analyzing Small Sample Sizes After Disaggregation: Exploring Observation Oriented Modeling for Assessing Learning Outcomes
Joe Levy, associate vice provost of accreditation and quality improvement at Excelsior University, co-authored a journal article in Research & Practice in Assessment titled “Analyzing Small Sample Sizes After Disaggregation: Exploring Observation Oriented Modeling for Assessing Learning Outcomes.” With co-authors J. Vincent Nix, Yi-Chin, Wu, and Lan Misty Song, Levy conducted a study comparing null hypothesis significance test (NHST) – the traditional statistical method assessment professionals commonly rely upon for analysis – with the alternative Observation Oriented Modeling (OOM) technique. The study found that alternative analytical tools can help instructors glean meaningful results from difficult-to-analyze data, improving course design and materials.
