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Showing all 8 results
Cui, Ying; Gierl, Mark J.; Chang, Hua-Hua – Journal of Educational Measurement, 2012
This article introduces procedures for the computation and asymptotic statistical inference for classification consistency and accuracy indices specifically designed for cognitive diagnostic assessments. The new classification indices can be used as important indicators of the reliability and validity of classification results produced by…
Descriptors: Classification, Accuracy, Cognitive Tests, Diagnostic Tests
Wang, Changjiang; Gierl, Mark J. – Journal of Educational Measurement, 2011
The purpose of this study is to apply the attribute hierarchy method (AHM) to a subset of SAT critical reading items and illustrate how the method can be used to promote cognitive diagnostic inferences. The AHM is a psychometric procedure for classifying examinees' test item responses into a set of attribute mastery patterns associated with…
Descriptors: Reading Comprehension, Test Items, Critical Reading, Protocol Analysis
Gierl, Mark J.; Cui, Ying; Zhou, Jiawen – Journal of Educational Measurement, 2009
The attribute hierarchy method (AHM) is a psychometric procedure for classifying examinees' test item responses into a set of structured attribute patterns associated with different components from a cognitive model of task performance. Results from an AHM analysis yield information on examinees' cognitive strengths and weaknesses. Hence, the AHM…
Descriptors: Test Items, True Scores, Psychometrics, Algebra
Gierl, Mark J.; Zheng, Yinggan; Cui, Ying – Journal of Educational Measurement, 2008
The purpose of this study is to describe how the attribute hierarchy method (AHM) can be used to evaluate differential group performance at the cognitive attribute level. The AHM is a psychometric method for classifying examinees' test item responses into a set of attribute-mastery patterns associated with different components in a cognitive model…
Descriptors: Test Items, Student Reaction, Pattern Recognition, Psychometrics
Gierl, Mark J. – Journal of Educational Measurement, 2007
The purpose of this paper is to describe the logic and identify key assumptions associated with making cognitive inferences using two attribute-based psychometric methods. The first method is Kikumi Tatsuoka's rule-space model. This model provides a strong point of reference for studying the nature of diagnostic inferences because it is important…
Descriptors: Testing, Diagnostic Tests, Psychometrics, Inferences
Bolt, Daniel M.; Gierl, Mark J. – Journal of Educational Measurement, 2006
Inspection of differential item functioning (DIF) in translated test items can be informed by graphical comparisons of item response functions (IRFs) across translated forms. Due to the many forms of DIF that can emerge in such analyses, it is important to develop statistical tests that can confirm various characteristics of DIF when present.…
Descriptors: Regression (Statistics), Tests, Test Bias, Test Items
Gierl, Mark J.; Leighton, Jacqueline P.; Tan, Xuan – Journal of Educational Measurement, 2006
DETECT, the acronym for Dimensionality Evaluation To Enumerate Contributing Traits, is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm ( Zhang & Stout, 1999). Because the clusters of items are mutually…
Descriptors: Program Evaluation, Cluster Grouping, Evaluation Methods, Multivariate Analysis
Leighton, Jacqueline P.; Gierl, Mark J.; Hunka, Stephen M. – Journal of Educational Measurement, 2004
A cognitive item response theory model called the attribute hierarchy method (AHM) is introduced and illustrated. This method represents a variation of Tatsuoka's rule-space approach. The AHM is designed explicitly to link cognitive theory and psychometric practice to facilitate the development and analyses of educational and psychological tests.…
Descriptors: Item Response Theory, Epistemology, Psychometrics, Cognitive Processes

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