Courses: This single-class activity is designed for an intercultural communication class. It is suitable for any course that requires a discussion about identities. Objectives: This activity helps students enhance their understanding of the concept of identities. It allows students to comprehend multiple identity markers (e.g. race, gender, and…

This study developed identification measures between U.S. Service Academy cadet squad members and squad leaders in peer-mentoring relationships, highlighting identification as an important antecedent to mentoring. However, research has failed to show evidence of this relationship, largely because researchers have failed to measure identification,…

This study combined data from the National Survey of Children's Health (NSCH; 2016--2019) to develop state-level percentages of Hispanic, non-Hispanic Black, non-Hispanic other race, and non-Hispanic White children receiving developmental screening and/or monitoring and diagnosed with an autism spectrum disorder or developmental delay (ASD/DD).…

Sensory processing abilities are highly variable within and across people diagnosed with autism and attention-deficit/hyperactivity disorder (ADHD). This study examined the transdiagnostic nature of sensory processing abilities, and their association with features of autism and ADHD, in a large sample of autistic people (n = 495) and people with…

Background: In the past few years there has been a growing interest in the employment of verbal productions as digital biomarkers, namely objective, quantifiable behavioural data that can be collected and measured by means of digital devices, allowing for a low-cost pathology detection, classification and monitoring. Numerous research papers have…

Measures of academic engagement and disruptive behavior in students are strong predictors of social, academic, and lifelong career outcomes. Educators need a measurement tool that is feasible, accurate, and cost-effective in order to identify students who may be in need of additional behavioral support. Direct Behavior Ratings (DBRs) offer a…

Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with…

Ensuring providers have the knowledge and skills they need to be able to provide families with navigation support while they orient to the idea of an ASD diagnosis is crucial. Doing so may help families to feel supported and increase access to meaningful services. Project ECHO is an evidence- based approach to delivering and facilitating…

This critical content analysis used critical literacy and critical race theory to examine eight children's picturebooks to reveal patterns in the depictions of Black-white biracial characters. Analysis attended to protagonists' skin tone, hair texture, and facial features. Findings identify a pattern in the text of the protagonists' skin tone and…

Functioning is a construct capturing how an individual's engagement in everyday life emerges from the interaction between the individual and their environment. The World Health Organization's International Classification of Functioning, Disability and Health (ICF) provides a biopsychosocial framework of functioning. Previously, the ICF was adapted…

This study estimated the prevalence of autism spectrum disorder in a 5-year inpatient cohort of children and adolescents diagnosed with first-episode psychosis in two Hong Kong teaching hospitals, and explored the clinical characteristics predicting first-episode psychosis-autism spectrum disorder comorbidity. The autism spectrum disorder…

White defensiveness in response to racial justice education has increasingly been understood through the "white fragility" framework. This study puts forth a new framework that instead identifies a typology of white defensive moves that actively work to uphold and fortify the white racial contract. Inspired by Solórzano and…

Social desirability bias (SDB) is a common threat to the validity of conclusions from responses to a scale or survey. There is a wide range of person-fit statistics in the literature that can be employed to detect SDB. In addition, machine learning classifiers, such as logistic regression and random forest, have the potential to distinguish…

This article utilizes Black girlhood as a framework in a critical multimodal qualitative inquiry to explore the complexities of representations of Black girls' hair, in picturebooks. Using a data corpus of 55 picturebooks published between 2010-2020, the authors analyzed the multimodal messages embedded in the initial introductions of Black girl…

The Lognormal Response Time (LNRT) model measures the speed of test-takers relative to the normative time demands of items on a test. The resulting speed parameters and model residuals are often analyzed for evidence of anomalous test-taking behavior associated with fast and poorly fitting response time patterns. Extending this model, we…