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) | 1 |
Descriptor
| Multidimensional Scaling | 2 |
| Test Items | 2 |
| Comparative Analysis | 1 |
| Comprehension | 1 |
| Computation | 1 |
| Correlation | 1 |
| Difficulty Level | 1 |
| Error of Measurement | 1 |
| Item Response Theory | 1 |
| Maps | 1 |
| Maximum Likelihood Statistics | 1 |
| More ▼ | |
Source
| Multivariate Behavioral… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkCulpepper, Steven Andrew – Multivariate Behavioral Research, 2009
This study linked nonlinear profile analysis (NPA) of dichotomous responses with an existing family of item response theory models and generalized latent variable models (GLVM). The NPA method offers several benefits over previous internal profile analysis methods: (a) NPA is estimated with maximum likelihood in a GLVM framework rather than…
Descriptors: Profiles, Item Response Theory, Models, Maximum Likelihood Statistics
Peer reviewedMeara, Kevin; Robin, Frederic; Sireci, Stephen G. – Multivariate Behavioral Research, 2000
Investigated the usefulness of multidimensional scaling (MDS) for assessing the dimensionality of dichotomous test data. Focused on two MDS proximity measures, one based on the PC statistic (T. Chen and M. Davidson, 1996) and other, on interitem Euclidean distances. Simulation results show that both MDS procedures correctly identify…
Descriptors: Correlation, Multidimensional Scaling, Simulation, Test Items
