Apples to Oranges: Causal Effects of Answer Changing in Multiple-Choice Exams
Yongnam Kim

TL;DR
This paper clarifies the causal effects of answer changing in multiple-choice exams using a formal framework, resolving debates by distinguishing effects on those who change answers versus those who do not.
Contribution
It introduces a potential outcomes framework to analyze answer changing effects, highlighting differences between treated and untreated examinees and clarifying previous controversies.
Findings
Answer changing has positive effects on those who change answers (ATT)
Answer changing has negative effects on those who do not change answers (ATU)
Answer changing and reviewing are distinct treatments with different effects
Abstract
Whether examinees' answer changing behavior while taking multiple-choice exams is beneficial or harmful is a long-standing puzzle in the educational and psychological measurement literature. Formalizing the problem using the potential outcomes framework, this article shows that the traditional method of comparing the proportions of "wrong to right" and "right to wrong" answer changing patterns--a method that has recently been criticized by van der Linden, Jeon, and Ferrara (2011)--indeed correctly identify the sign of the average answer changing effect, but only for those examinees who actually changed their initial responses. This subgroup effect is referred to as the average treatment effect on the treated (ATT) and generally differs from the average treatment effect on the untreated (ATU), that is, those who did not change their initial responses. Analyzing two real data sets,…
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Taxonomy
TopicsAdvanced Causal Inference Techniques · Psychometric Methodologies and Testing · Statistical Methods and Inference
