Article2003

Using Response Times to Detect Aberrant Responses in Computerized Adaptive Testing

Wim J. van der Linden · Edith M. L. A. van Krimpen-Stoop

104 citations0/0 files storedPsychometrika

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Psychometric Methodologies and Testing Psychological Testing and Assessment Statistical Methods and Bayesian Inference

Abstract

A lognormal model for response times is used to check response times for aberrances in examinee behavior on computerized adaptive tests. Both classical procedures and Bayesian posterior predictive checks are presented. For a fixed examinee, responses and response times are independent; checks based on response times offer thus information independent of the results of checks on response patterns. Empirical examples of the use of classical and Bayesian checks for detecting two different types of aberrances in response times are presented. The detection rates for the Bayesian checks outperformed those for the classical checks, but at the cost of higher false-alarm rates. A guideline for the choice between the two types of checks is offered.

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References

2000Computerized Adaptive Testing: Theory and Practice 1985Appropriateness measurement with polychotomous item response models and standardized indices 1983New horizons in testing : latent trait test theory and computerized adaptive testing 1979Measuring the Appropriateness of Multiple-Choice Test Scores 1990The Many Null Distributions of Person Fit Indices 1983Timed Testing: An Approach Using Item Response Theory 2000Item Selection and Ability Estimation in Adaptive Testing 1999Using Response-Time Constraints to Control for Differential Speededness in Computerized Adaptive Testing

Cited by

2007Using Response Times for Item Selection in Adaptive Testing 2009Evaluating cognitive theory: A joint modeling approach using responses and response times.2014Testing for Aberrant Behavior in Response Time Modeling 2007An Item Response Theory Model for Incorporating Response Time Data in Binary Personality Items 2016A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing 2016Detection of Item Preknowledge Using Likelihood Ratio Test and Score Test

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