Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Comparative Analysis | 3 |
| Multidimensional Scaling | 3 |
| Profiles | 3 |
| At Risk Persons | 1 |
| Comprehension | 1 |
| Computation | 1 |
| Data | 1 |
| Difficulty Level | 1 |
| Error of Measurement | 1 |
| Foreign Countries | 1 |
| Grade 5 | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
| Elementary Education | 1 |
| Grade 5 | 1 |
| Higher Education | 1 |
| Kindergarten | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGrané, Aurea; Romera, Rosario – Sociological Methods & Research, 2018
Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…
Descriptors: Surveys, Data, Multidimensional Scaling, Robustness (Statistics)
Kim, Se-Kang – Asia Pacific Education Review, 2010
The aim of the study is to compare longitudinal patterns from Mathematics and Reading data from the direct child assessment of Early Child Longitudinal Study, Kindergarten (ECLS-K, US Department of Education, National Center for Education Statistics 2006), utilizing Profile Analysis via Multidimensional Scaling (PAMS). PAMS has been used initially…
Descriptors: Multidimensional Scaling, Mathematics Achievement, Kindergarten, Reading Achievement
Culpepper, 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
