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Collares, Carlos Fernando – Advances in Health Sciences Education, 2022
Criticisms about psychometric paradigms currently used in healthcare professions education include claims of reductionism, objectification, and poor compliance with assumptions. Nevertheless, perhaps the most crucial criticism comes from learners' difficulty in interpreting and making meaningful use of summative scores and the potentially…
Descriptors: Psychometrics, Clinical Diagnosis, Allied Health Occupations, Models
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Chen, Fu; Yan, Yue; Xin, Tao – Educational Psychology, 2017
The current study focuses on developing the learning progression of number sense for primary school students, and it applies a cognitive diagnostic model, the rule space model, to data analysis. The rule space model analysis firstly extracted nine cognitive attributes and their hierarchy model from the analysis of previous research and the…
Descriptors: Numeracy, Learning Processes, Elementary School Students, Foreign Countries
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Verheyen, Steven; De Deyne, Simon; Dry, Matthew J.; Storms, Gert – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
A contrast category effect on categorization occurs when the decision to apply a category term to an entity not only involves a comparison between the entity and the target category but is also influenced by a comparison of the entity with 1 or more alternative categories from the same domain as the target. Establishing a contrast category effect…
Descriptors: Foreign Countries, Stimuli, Classification, Models
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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
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Vigneau, Francois; Bors, Douglas A. – Intelligence, 2008
Various taxonomies of Raven's Advanced Progressive Matrices (APM) items have been proposed in the literature to account for performance on the test. In the present article, three such taxonomies based on information processing, namely Carpenter, Just and Shell's [Carpenter, P.A., Just, M.A., & Shell, P., (1990). What one intelligence test…
Descriptors: Intelligence, Intelligence Tests, Factor Analysis, Classification
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Kalsbeek, David H. – College and University, 2007
This article is the third and final in a series prepared originally for AACRAO's Fifteenth Annual Strategic Enrollment Management Conference (SEM XV). Through this series, David Kalsbeek introduces a four-fold typology for differentiating institutional approaches to SEM. In this final reflection, he suggests that grounding this typology in Jungian…
Descriptors: Enrollment Management, Classification, Change Strategies, Organizational Theories
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Frederiksen, Norman; And Others – Intelligence, 1984
An investigation of social behavior measures obtained from interviews and a wide variety of cognitive variables rarely produced significant relations. Results suggest that rather than trying to place social intelligence within a cognitive abilities taxonomy, a separate taxonomy of social intelligence should be developed. (Author/BS)
Descriptors: Classification, Cognitive Processes, Cognitive Tests, Higher Education
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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
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Kloot, Willem A. van der; Herk, Hester van – Multivariate Behavioral Research, 1991
Two sets of real sorting data from 50 college students are used to compare results of multidimensional scaling of raw co-occurrence frequencies or dissimilarity measures (D) and profile distances (delta) to determine which yields a better representation of the underlying structure of 2 sets of stimuli. Slight differences are discussed. (SLD)
Descriptors: Classification, Cognitive Processes, College Students, Comparative Analysis