Publication Date
| In 2025 | 2 |
| Since 2024 | 3 |
Descriptor
| Models | 3 |
| Adults | 2 |
| Intelligence Tests | 2 |
| Achievement Tests | 1 |
| Age Differences | 1 |
| Artificial Intelligence | 1 |
| Attention Deficit… | 1 |
| Autism Spectrum Disorders | 1 |
| Bayesian Statistics | 1 |
| Classification | 1 |
| Cognitive Ability | 1 |
| More ▼ | |
Author
| Emily Landau | 1 |
| Joseph C. Y. Lau | 1 |
| Kazuhiro Yamaguchi | 1 |
| Michael Matta | 1 |
| Molly Losh | 1 |
| Qingcheng Zeng | 1 |
| Rob Voigt | 1 |
| Ruichun Zhang | 1 |
| Stephanie Crawford | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Elementary Secondary Education | 1 |
Audience
Location
| Colorado | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Wechsler Adult Intelligence… | 3 |
| Peabody Individual… | 1 |
| Peabody Picture Vocabulary… | 1 |
| Wechsler Abbreviated Scale of… | 1 |
| Wechsler Intelligence Scale… | 1 |
| Wide Range Achievement Test | 1 |
| Woodcock Johnson Tests of… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkKazuhiro Yamaguchi – Journal of Educational and Behavioral Statistics, 2025
This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…
Descriptors: Models, Classification, Bayesian Statistics, Evaluation Methods
Michael Matta – Journal of Psychoeducational Assessment, 2024
Students with Attention-Deficit/Hyperactivity Disorder (ADHD) are struggling writers. Yet no comprehensive model has been validated to explain their poor writing outcomes. This study aims to test whether an extended version of the Not-So-Simple View of Writing (NSVW) model can describe the effects of key abilities on writing performance in…
Descriptors: Attention Deficit Hyperactivity Disorder, Writing (Composition), Models, Writing Achievement
Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
