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A Model‐Data‐Fit‐Informed Approach to Score Resolution in Performance Assessments
Educational Measurement: Issues and Practice, 2021AbstractMany large‐scale performance assessments include score resolution procedures for resolving discrepancies in rater judgments. The goal of score resolution is conceptually similar to person fit analyses: To identify students for whom observed scores may not accurately reflect their achievement.
Stefanie A. Wind, A. Adrienne Walker
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Goodness of Model-Data Fit and Invariant Measurement
Measurement: Interdisciplinary Research & Perspective, 2013Maydeu-Olivares (this issue) presents a framework for evaluating the goodness of model-data fit for item response theory (IRT) models.
George Engelhard, Aminah Perkins
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Approaches for Addressing Model-Data Fit
1985Item response models offer a number of advantages for test score interpretations and reporting of test results, but the advantages will be obtained in practice only when there is a close match between the model selected for use and the test data.
Ronald K. Hambleton +1 more
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Advancing and Evaluating IRT Model Data Fit Indices in Organizational Research
Organizational Research Methods, 2019Item response theory (IRT) models have a number of advantages for developing and evaluating scales in organizational research. However, these advantages can be obtained only when the IRT model used to estimate the parameters fits the data well. Therefore, examining IRT model fit is important before drawing conclusions from the data. To test model fit,
Christopher D. Nye +3 more
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