On the strategic equivalence of multiple-choice test scoring rules
Maria Paz Espinosa and
Javier Gardeazabal
No 1988-088X, DFAEII Working Papers from University of the Basque Country - Department of Foundations of Economic Analysis II
Abstract:
A disadvantage of multiple-choice tests is that students have incentives to guess. To discourage guessing, it is common to use scoring rules that either penalize wrong answers or reward omissions. These scoring rules are considered equivalent in psychometrics, although experimental evidence has not always been consistent with this claim. We model students' decisions and show, first, that equivalence holds only under risk neutrality and, second, that the two rules can be modified so that they become equivalent even under risk aversion. This paper presents the results of a field experiment in which we analyze the decisions of subjects taking multiple-choice exams. The evidence suggests that differences between scoring rules are due to risk aversion as theory predicts. We also find that the number of omitted items depends on the scoring rule, knowledge, gender and other covariates.
Keywords: field experiment; risk aversion; scoring rules; multiple choice tests (search for similar items in EconPapers)
Date: 2005-12
References: Add references at CitEc
Citations:
Downloads: (external link)
https://addi.ehu.eus/handle/10810/6735 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ehu:dfaeii:6735
Ordering information: This working paper can be ordered from
Dpto. de Fundamentos del Análisis Económico II, = Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain
Access Statistics for this paper
More papers in DFAEII Working Papers from University of the Basque Country - Department of Foundations of Economic Analysis II Contact information at EDIRC.
Bibliographic data for series maintained by Alcira Macías Redondo ().