Literature DB >> 25142256

Analyzing Test-Taking Behavior: Decision Theory Meets Psychometric Theory.

David V Budescu1, Yuanchao Bo2.   

Abstract

We investigate the implications of penalizing incorrect answers to multiple-choice tests, from the perspective of both test-takers and test-makers. To do so, we use a model that combines a well-known item response theory model with prospect theory (Kahneman and Tversky, Prospect theory: An analysis of decision under risk, Econometrica 47:263-91, 1979). Our results reveal that when test-takers are fully informed of the scoring rule, the use of any penalty has detrimental effects for both test-takers (they are always penalized in excess, particularly those who are risk averse and loss averse) and test-makers (the bias of the estimated scores, as well as the variance and skewness of their distribution, increase as a function of the severity of the penalty).

Keywords:  decision theory; formula scoring; guessing; loss aversion; mis-calibration of probabilities; multiple-choice tests; partial information

Mesh:

Year:  2014        PMID: 25142256     DOI: 10.1007/s11336-014-9425-x

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  4 in total

1.  Decision making under internal uncertainty: the case of multiple-choice tests with different scoring rules.

Authors:  Yoella Bereby-Meyer; Joachim Meyer; David V Budescu
Journal:  Acta Psychol (Amst)       Date:  2003-02

2.  METHODS FOR DISCRIMINATING LEVELS OF PARTIAL KNOWLEDGE CONCERNING A TEST ITEM.

Authors:  B DEFINETTI
Journal:  Br J Math Stat Psychol       Date:  1965-05       Impact factor: 3.380

3.  The Effect of the Raters' Marginal Distributions on Their Matched Agreement: A Rescaling Framework for Interpreting Kappa.

Authors:  Tzur M Karelitz; David V Budescu
Journal:  Multivariate Behav Res       Date:  2013-11       Impact factor: 5.923

4.  Using the Rasch model to quantify the causal effect of test instructions.

Authors:  Ana R Delgado
Journal:  Behav Res Methods       Date:  2007-08
  4 in total
  1 in total

1.  Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory.

Authors:  Qian Wu; Monique Vanerum; Anouk Agten; Andrés Christiansen; Frank Vandenabeele; Jean-Michel Rigo; Rianne Janssen
Journal:  Psychometrika       Date:  2021-04-29       Impact factor: 2.500

  1 in total

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