Detective Activity Comparing Frequentist (NHST) and Bayesian Methods: Introducing Bayesian Concepts to Students of Communication
한국언론학회 | 한국언론학회 | 12 pages| 2021.06.22| 파일형태 :
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Bayesian modeling has received little attention in quantitative methods courses in the social sciences, where the frequentist or null hypothesis significance testing (NHST) approach prevails. We believe our students need exposure to the basic concepts of Bayesian modeling as it (a) better corresponds to the manner in which scientific theories advance and (b) provides the fundamentals for many current state-of-the-art methods of data science including machine learning. This paper proposes a class activity whereby students can learn how Bayesian analysis works to produce information about predictions and how it differs from NHST. During the activity, students evaluate twenty pieces of evidence to assess the probability for a fictitious suspect to be innocent (H?) or guilty (H₁), first using NHST and then the Bayesian approach.
Gaining Balance in Quantitative Methods Education
Comparing NHST and Bayesian Modeling
Intended Lessons
Description of Activity
First Session: NHST and Bayesian Modeling Overview
Second Session: The Activity
NHST Activity
Bayesian Activity
Results From Mock Data
Limitations and Activity Adaptations
Bayesian analysis null hypothesis significance testing (NHST) scientific theory class activity
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