modeling of responses and response times with the package cirt

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ID: 185228
2007
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Abstract
In computerized testing, the test takers’ responses as well as their response times on the items are recorded. The relationship between response times and response accuracies is complex and varies over levels of observation. For example, it takes the form of a tradeoff between speed and accuracy at the level of a fixed person but may become a positive correlation for a population of test takers. In order to explore such relationships and test hypotheses about them, a conjoint model is proposed. Item responses are modeled by a two-parameter normal-ogive IRT model and response times by a lognormal model. The two models are combined using a hierarchical framework based on the fact that response times and responses are nested within individuals. All parameters can be estimated simultaneously using an MCMC estimation approach. A R-package for the MCMC algorithm is presented and explained.
Reference Key
fox2007journalmodeling Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jean-Paul Fox;Rinke Klein Entink;Wim van der Linden
Journal open geospatial data, software and standards
Year 2007
DOI
DOI not found
URL
http://www.jstatsoft.org/v20/i07/paper
Keywords
response times mcmc

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