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Chengcheng Li – ProQuest LLC, 2022
Categorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods for large-scale categorical data, focusing on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be…
Descriptors: Statistical Inference, Data Analysis, Psychometrics, Raw Scores
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Torre, Jimmy de la; Akbay, Lokman – Eurasian Journal of Educational Research, 2019
Purpose: Well-designed assessment methodologies and various cognitive diagnosis models (CDMs) to extract diagnostic information about examinees' individual strengths and weaknesses have been developed. Due to this novelty, as well as educational specialists' lack of familiarity with CDMs, their applications are not widespread. This article aims at…
Descriptors: Cognitive Measurement, Models, Computer Software, Testing
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Hou, Likun; de la Torre, Jimmy; Nandakumar, Ratna – Journal of Educational Measurement, 2014
Analyzing examinees' responses using cognitive diagnostic models (CDMs) has the advantage of providing diagnostic information. To ensure the validity of the results from these models, differential item functioning (DIF) in CDMs needs to be investigated. In this article, the Wald test is proposed to examine DIF in the context of CDMs. This study…
Descriptors: Test Bias, Models, Simulation, Error Patterns
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Roduta Roberts, Mary; Alves, Cecilia B.; Chu, Man-Wai; Thompson, Margaret; Bahry, Louise M.; Gotzmann, Andrea – Applied Measurement in Education, 2014
The purpose of this study was to evaluate the adequacy of three cognitive models, one developed by content experts and two generated from student verbal reports for explaining examinee performance on a grade 3 diagnostic mathematics test. For this study, the items were developed to directly measure the attributes in the cognitive model. The…
Descriptors: Foreign Countries, Mathematics Tests, Cognitive Processes, Models
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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
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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.; Wang, Changjiang; Zhou, Jiawen – Journal of Technology, Learning, and Assessment, 2008
The purpose of this study is to apply the attribute hierarchy method (AHM) to a sample of SAT algebra items administered in March 2005. The AHM is a psychometric method for classifying examinees' test item responses into a set of structured attribute patterns associated with different components from a cognitive model of task performance. An…
Descriptors: Test Items, Protocol Analysis, Psychometrics, Algebra
Marzano, Robert J.; Jesse, Daniel M. – 1987
In this study 6,942 items from two standardized achievement test batteries--the Stanford (Early School Achievement Battery, Achievement Battery, and Test of Academic Skills) and the Comprehensive Test of Basic Skills--were analyzed. Focus was on determining: (1) the extent to which these test batteries included general cognitive operations (GCOs)…
Descriptors: Achievement Tests, Cognitive Measurement, Cognitive Processes, Comparative Analysis
Tatsuoka, Kikumi K. – 1991
Constructed-response formats are desired for measuring complex and dynamic response processes that require the examinee to understand the structures of problems and micro-level cognitive tasks. These micro-level tasks and their organized structures are usually unobservable. This study shows that elementary graph theory is useful for organizing…
Descriptors: Adult Literacy, Cognitive Measurement, Cognitive Processes, Constructed Response
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Arendasy, Martin; Sommer, Markus; Ponocny, Ivo – Cognition and Instruction, 2005
Simple arithmetic word problems are often featured in elementary school education. One type of problem, "compare with unknown reference set," ranks among the most difficult to solve. Differences in item difficulty for compare problems with unknown reference set are observed depending on the direction of the relational statement (more than vs. less…
Descriptors: Psychometrics, Arithmetic, Word Problems (Mathematics), Item Response Theory
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Smith, Pauline – British Journal of Educational Psychology, 1986
Examines traditional psychometric approaches to measuring intelligence and recent work by cognitive psychologists to develop a rationale for a non-verbal reasoning test for 10- to 11-year-olds. Recent studies providing basis for analyzing structure of test items are outlined, and benefits of analyzing items at a sub-type level are discussed.…
Descriptors: Classification, Cognitive Ability, Cognitive Measurement, Cognitive Processes
Bejar, Isaac I. – 1986
This paper considers the feasibility of incorporating research results from cognitive science into the modeling of performance on psychometric tests and the construction of test items. The paper focuses on the feasibility of modeling performance on a three-dimensional rotation task within the context of Item Response Theory (IRT). To test the…
Descriptors: Cognitive Measurement, Cognitive Tests, Computer Assisted Testing, Difficulty Level
Bejar, Isaac I. – 1986
This report summarizes the results of research designed to study the psychometric and technological feasibility of adaptive testing to assess spatial ability. Data was collected from high school students on two types of spatial items: three-dimensional cubes and hidden figure items. The analysis of the three-dimensional cubes focused on the fit of…
Descriptors: Adaptive Testing, Algorithms, Cognitive Measurement, Computer Assisted Testing