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Becker, Kirk A.; Kao, Shu-chuan – Journal of Applied Testing Technology, 2022
Natural Language Processing (NLP) offers methods for understanding and quantifying the similarity between written documents. Within the testing industry these methods have been used for automatic item generation, automated scoring of text and speech, modeling item characteristics, automatic question answering, machine translation, and automated…
Descriptors: Item Banks, Natural Language Processing, Computer Assisted Testing, Scoring
Chen, Yi-Hsin; Senk, Sharon L.; Thompson, Denisse R.; Voogt, Kevin – Journal of Educational Measurement, 2019
The van Hiele theory and van Hiele Geometry Test have been extensively used in mathematics assessments across countries. The purpose of this study is to use classical test theory (CTT) and cognitive diagnostic modeling (CDM) frameworks to examine psychometric properties of the van Hiele Geometry Test and to compare how various classification…
Descriptors: Geometry, Mathematics Tests, Test Theory, Psychometrics
Longford, Nicholas T. – Journal of Educational and Behavioral Statistics, 2014
A method for medical screening is adapted to differential item functioning (DIF). Its essential elements are explicit declarations of the level of DIF that is acceptable and of the loss function that quantifies the consequences of the two kinds of inappropriate classification of an item. Instead of a single level and a single function, sets of…
Descriptors: Test Items, Test Bias, Simulation, Hypothesis Testing
Deng, Nina – ProQuest LLC, 2011
Three decision consistency and accuracy (DC/DA) methods, the Livingston and Lewis (LL) method, LEE method, and the Hambleton and Han (HH) method, were evaluated. The purposes of the study were: (1) to evaluate the accuracy and robustness of these methods, especially when their assumptions were not well satisfied, (2) to investigate the "true"…
Descriptors: Item Response Theory, Test Theory, Computation, Classification
von Davier, Matthias – Measurement: Interdisciplinary Research and Perspectives, 2009
In this commentary, the author points out few issues, one being that there are models mislabeled as diagnostic, which deal with linear decompositions of item difficulties rather than estimating multidimensional skill variables. The author discusses the issue that there are many new names for essentially well-known models for multiple simultaneous…
Descriptors: Test Items, Probability, Models, Diagnostic Tests
Hancock, Gregory R. – Measurement: Interdisciplinary Research and Perspectives, 2009
As Rupp and Templin (2008) stated directly, diagnostic classification methods "are confirmatory in nature." Methods, though, are neither inherently confirmatory nor exploratory. Diagnostic classification modeling, with its analytical and computational obstacles eventually yielding as a comprehensive and potent discipline emerges, will…
Descriptors: Structural Equation Models, Test Items, Models, Diagnostic Tests
Have Cognitive Diagnostic Models Delivered Their Goods? Some Substantial and Methodological Concerns
Wilhelm, Oliver; Robitzsch, Alexander – Measurement: Interdisciplinary Research and Perspectives, 2009
The paper by Rupp and Templin (2008) is an excellent work on the characteristics and features of cognitive diagnostic models (CDM). In this article, the authors comment on some substantial and methodological aspects of this focus paper. They organize their comments by going through issues associated with the terms "cognitive,"…
Descriptors: Research Methodology, Test Items, Models, Diagnostic Tests
Jiao, Hong – Measurement: Interdisciplinary Research and Perspectives, 2009
Diagnostic assessment is currently an active research area in educational measurement. Literature related to diagnostic modeling has been in existence for several decades, but a great deal of research has been conducted within the last decade or so, especially within the last five years. The author summarizes the key components in the application…
Descriptors: Educational Assessment, Literature Reviews, Test Items, Probability

Haladyna, Thomas M.; Downing, Steven M. – Applied Measurement in Education, 1989
A taxonomy of 43 rules for writing multiple-choice test items is presented, based on a consensus of 46 textbooks. These guidelines are presented as complete and authoritative, with solid consensus apparent for 33 of the rules. Four rules lack consensus, and 5 rules were cited fewer than 10 times. (SLD)
Descriptors: Classification, Interrater Reliability, Multiple Choice Tests, Objective Tests