Using four-parameter item response theory to model human figure drawings
نویسندگان
چکیده
منابع مشابه
Estimation of a four-parameter item response theory model.
We explore the justification and formulation of a four-parameter item response theory model (4PM) and employ a Bayesian approach to recover successfully parameter estimates for items and respondents. For data generated using a 4PM item response model, overall fit is improved when using the 4PM rather than the 3PM or the 2PM. Furthermore, although estimated trait scores under the various models ...
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Item Response Theory (IRT) models were investigated as a tool for student modeling in an intelligent tutoring system (ITS). The models were tested using real data of high school students using the Wayang Outpost, a computer-based tutor for the mathematics portion of the Scholastic Aptitude Test (SAT). A cross-validation framework was developed and three metrics to measure prediction accuracy we...
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Statistical properties of the ability level estimate ( ) in item response theory (IRT) were investigated through a Monte Carlo investigation, based on data generated with a four cases multifactor design. Dichotomous items and the logistic two-parameter IRT model in a one-dimensional setting have been chosen. The estimation procedure was the marginalized Bayesian item parameters estimation and E...
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Item response theory is a large sample procedure to estimate item parameters based on individual response strings. However, what happens when the data available to estimate item parameters is small? This situation is common when new assessment items are tried out for inclusion in future operational assessments, commonly called field testing. In field tests, many items are spread out over a fixe...
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ژورنال
عنوان ژورنال: Revista Avaliação Psicológica
سال: 2018
ISSN: 2175-3431
DOI: 10.15689/ap.2018.1704.7.07