In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…

As diagnostic classification models become more widely used in large-scale operational assessments, we must give consideration to the methods for estimating and reporting reliability. Researchers must explore alternatives to traditional reliability methods that are consistent with the design, scoring, and reporting levels of diagnostic assessment…

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…

With the budding interests of structural and functional network characteristics as potential parameters for abnormal brains, an essential and thus simpler representation and evaluations have become necessary. Eigenvector centrality measure of functional magnetic resonance imaging ("fMRI") offer region wise network representations through…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Aware of the various issues involved in assessing learning, but also of the difficulties encountered in classroom practice of this pedagogical act, we set out in this article to explore and analyze the assessment practices of secondary school mathematics teachers and the conceptions they underlie. The study was conducted from a systemic…

Previous research has indicated the benefits of language sample analysis (LSA) as well as significant limitations to wide-scale, standardized implementation. The purpose of this project was to advance this line of inquiry by documenting how school-based speech-language pathologists' (SLPs) perception and use of one computerized LSA program was…

Psychological assessment is an integral aspect of training in graduate school. Developing ecologically integrated and culturally sensitive diagnostic tools to support case conceptualization and differential diagnosis is critical to improving assessment practices. Nevertheless, there is a dearth of research on diagnostic training practices,…

Background: The coronavirus disease 2019 (COVID-19) pandemic has renewed interest in the use of ultrasound (US) amongst dysphagia-trained clinicians working with infants and children. US is a portable, minimally intrusive tool which carries reduced risk of aerosol-generation provoked by other instrumental swallowing assessment tools such as…

In autistic adults, measurement tools may not adequately differentiate between autistic characteristics and features of anxiety. This may be particularly evident in the case of social anxiety disorder; however, few measures of social anxiety disorder have been validated for autistic adults. Instead, assessments are often made using measures…

The primary purpose of this study was to systematically review the literature regarding the characteristics, use, and implementation of an emerging assessment methodology, "SRL microanalysis." Forty-two studies across diverse samples, contexts, and research methodologies met inclusion criteria. The majority of studies used microanalysis…

Purpose: Autistic boys and boys with co-occurring fragile X syndrome and autism spectrum disorder (FXS + ASD) demonstrate similar pragmatic language difficulties. The Pragmatic Rating Scale--School Age (PRS-SA) captures ecologically valid metrics of pragmatic language impairments in these populations. It is traditionally scored based on the Autism…

The heterogeneous nature of Autism Spectrum Disorder (ASD) makes accurate diagnosis challenging. Best practice assessments in schools can open pathways to appropriate interventions and educational placements for those with ASD, as well as help identify a student's strengths. There are various tools used in school settings to assess autism. In this…

Clinical judgement is a crucial part of autism and attention deficit hyperactivity disorder (ADHD) assessments. This study aims to harness insights from psychology and sociology to explore clinical perspectives and assessment practices of autism and attention deficit hyperactivity disorder. Qualitative interviews were conducted with health care…

Creativity is a fundamental human accomplishment from scientific advances to composing music. The left dorsolateral prefrontal cortex (DLPFC) and inferior frontal gyrus (IFG) are important metacontrol hubs in flexibility and persistence brain states, respectively. Those hubs are related to divergent thinking, insight problem-solving, and…