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Activity Number: 187 - Theory and Methods for Building Successful Data Analyses
Type: Topic Contributed
Date/Time: Monday, August 8, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #322112
Title: Diagnosing Data Analytic Problems in the Classroom
Author(s): Roger Peng*
Companies: Johns Hopkins Bloomberg School of Public Health
Keywords: data analysis; diagnosis

The goal of this talk is to describe an approach to teaching students skills in diagnosing data analytic problems. The exercise described here is targeted to allow students to practice this skill and to assess the depth of their knowledge about the statistical tools they have learned. We take a hypothetical case study approach and focus on the students’ reasoning through their diagnoses and suggestions for follow up action. We found the implementation of this exercise in a small graduate course to provide valuable information about students’ diagnostic thought processes, but further work is needed regarding structured approaches to implementation and the design of assessments.

Authors who are presenting talks have a * after their name.

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