Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 11 |
Descriptor
| Classification | 11 |
| Evaluation Problems | 11 |
| Measurement | 11 |
| Evaluation Methods | 9 |
| Measurement Techniques | 9 |
| Diagnostic Tests | 8 |
| Models | 8 |
| Psychometrics | 8 |
| Test Items | 6 |
| Educational Assessment | 5 |
| Educational Testing | 5 |
| More ▼ | |
Author
Publication Type
| Journal Articles | 10 |
| Opinion Papers | 7 |
| Reports - Evaluative | 2 |
| Books | 1 |
| Collected Works - General | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Secondary Education | 3 |
| Elementary Education | 1 |
| Grade 3 | 1 |
| Higher Education | 1 |
| Kindergarten | 1 |
| Postsecondary Education | 1 |
| Two Year Colleges | 1 |
Audience
| Practitioners | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Dhuey, Elizabeth; Lipscomb, Stephen – Economics of Education Review, 2010
This study extends recent findings of a relationship between the relative age of students among their peers and their probability of disability classification. Using three nationally representative surveys spanning 1988-2004 and grades K-10, we find that an additional month of relative age decreases the likelihood of receiving special education…
Descriptors: Learning Disabilities, Achievement Gains, Classification, Probability
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
Lane, Jason E., Ed.; Johnstone, D. Bruce, Ed. – SUNY Press, 2012
Local, state, and national economies are facing unprecedented levels of international competition. The current fiscal crisis has hampered the ability of many governments in the developed world to directly facilitate economic growth. At the same time, many governments in the developing world are investing significant new resources into local…
Descriptors: Higher Education, Innovation, Industry, Universities
Tatsuoka, Curtis – Measurement: Interdisciplinary Research and Perspectives, 2009
In this commentary, the author addresses what is referred to as the deterministic input, noisy "and" gate (DINA) model. The author mentions concerns with how this model has been formulated and presented. In particular, the author points out that there is a lack of recognition of the confounding of profiles that generally arises and then discusses…
Descriptors: Test Items, Classification, Psychometrics, Item Response Theory
Maris, Gunter; Bechger, Timo – Measurement: Interdisciplinary Research and Perspectives, 2009
Rupp and Templin (2008) do a good job at describing the ever expanding landscape of Diagnostic Classification Models (DCM). In many ways, their review article clearly points to some of the questions that need to be answered before DCMs can become part of the psychometric practitioners toolkit. Apart from the issues mentioned in this article that…
Descriptors: Factor Analysis, Classification, Psychometrics, Item Response Theory
Sinharay, Sandip; Haberman, Shelby J. – Measurement: Interdisciplinary Research and Perspectives, 2009
In this commentary, the authors discuss some of the issues regarding the use of diagnostic classification models that practitioners should keep in mind. In the authors experience, these issues are not as well known as they should be. The authors then provide recommendations on diagnostic scoring.
Descriptors: Scoring, Reliability, Validity, Classification
Frey, Andreas; Carstensen, Claus H. – Measurement: Interdisciplinary Research and Perspectives, 2009
On a general level, the objective of diagnostic classifications models (DCMs) lies in a classification of individuals regarding multiple latent skills. In this article, the authors show that this objective can be achieved by multidimensional adaptive testing (MAT) as well. The authors discuss whether or not the restricted applicability of DCMs can…
Descriptors: Adaptive Testing, Test Items, Classification, Psychometrics
Lucas, Samuel R.; Beresford, Lauren – Review of Research in Education, 2010
Education names and classifies individuals. This result seems unavoidable. For example, some students will graduate, and some will not. Those who graduate will be "graduates"; those who do not graduate will be labeled otherwise. The only way to avoid such labeling is to fail to make distinctions of any kind. Yet education is rife with…
Descriptors: Social Science Research, Equal Education, Outcomes of Education, Inferences

Peer reviewed
Direct link
