Background: Mental health (MH) problems are more common in people with intellectual disabilities (ID), yet under-diagnosis persists, which may be partly due to a lack of appropriate assessment tools. This study presents a systematic review of instruments used to assess MH problems in Spanish-speaking adults with ID. Method: Following PRISMA…

The aim of this study is to examine the available scientific evidence on the reliability and criterion validity of 6-minute run walk field-based test when administered to children and adolescents. Systematic searches were performed in three electronic databases (MEDLINE/PubMed, SPORTDiscuss and Scopus) from their inception until February 2024,…

Value-Added Models (VAMs) are both common and controversial in education policy and accountability research. While the sensitivity of VAMs to model specification and covariate selection is well documented, the extent to which test scoring methods (e.g., mean scores vs. IRT-based scores) may affect VA estimates is less studied. We examine the…

Teachers' perceptions, attitudes, and opinions about students, curricula, or evaluation methods contribute to the development of students' talents. Thus, researchers often collect data from teachers to identify gifted students, determine educational practices to meet the students' needs and assess gifted education programs. Researchers often…

Although there exists an extensive amount of research on subscores and their properties, limited research has been conducted on categorical subscores and their interpretations. In this paper, we focus on the claim of Feinberg and von Davier that categorical subscores are useful for remediation and instructional purposes. We investigate this claim…

Assessments are one of the most important--and often misunderstood--elements of education. In most cases, tests are administered by the state as well as by districts and schools. Assessments at each of these levels have distinct purposes, yield different information, and are part of a powerful, coordinated approach to improving student outcomes.…

Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…