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A Comparison of Item- and Person-Fit Methods of Assessing Model-Data Fit in IRT [PDF]

Applied Psychological Measurement, 1990
Many item-fit statistics have been proposed for assessing whether the responses to test items aggregated across examinees conform to IRT test models.
Steven Paul Reise
exaly   +4 more sources

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Predictive Fit Metrics for Item Response Models

Applied Psychological Measurement, 2022
The fit of an item response model is typically conceptualized as whether a given model could have generated the data. In this study, for an alternative view of fit, “predictive fit,” based on the model’s ability to predict new data is advocated. The authors define two prediction tasks: “missing responses prediction”—where the goal is to predict an in ...
Benjamin A. Stenhaug, Benjamin W. Domingue   +1 more
openaire   +2 more sources

Assessing Item-Level Fit for Higher Order Item Response Theory Models [PDF]

Applied Psychological Measurement, 2018
Testing item-level fit is important in scale development to guide item revision/deletion. Many item-level fit indices have been proposed in literature, yet none of them were directly applicable to an important family of models, namely, the higher order item response theory (HO-IRT) models.
Jian Tao, Xue Zhang, Chun Wang
exaly   +3 more sources

Item Analysis: Methods for Fitting the Right Items to the Right Test

2021
When developing a test, there are numerous procedures that are useful for assessing the quality and measurement characteristics of test items. Not all procedures are appropriate for all types of tests, and not all procedures will indicate the same level of quality about a particular item.
Cecil R. Reynolds, Robert A. Altmann, Daniel N. Allen   +2 more
openaire   +1 more source

Goodness of Fit in Item Response Models

Multivariate Behavioral Research, 1995
It is shown that goodness-of-fit criteria developed for the evaluation of multivariate structural models can be applied to assist in evaluating the dimensionality of a test consisting of binary items, and correlative methods regularly employed in factor analysis can be used to diagnose causes of misfit.
R P, McDonald, M M, Mok
openaire   +2 more sources

Evaluating Item Fit for Multidimensional Item Response Models

Educational and Psychological Measurement, 2007
This research examines the utility of the s - χ 2 statistic proposed by Orlando and Thissen (2000) in evaluating item fit for multidimensional item response models. Monte Carlo simulation was conducted to investigate both the Type I error and statistical power of this fit statistic in ...
null Bo Zhang, Clement A. Stone
openaire   +1 more source