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Visual category learning: Navigating the intersection of rules and similarity
Visual categorization is fundamental to expertise in a wide variety of disparate domains, such as radiology, art history, and quality control. The...
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The unspecified residual category of the DSM-5: The challenges of a catch-all diagnosis
The past over-usage of the DSM-IV category of “not otherwise specified” (NOS) resulted in it becoming a vague, catch-all label. The new nomenclature...
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Posttraumatic Stress Disorder in Children with Severe or Moderate Intellectual Disability: A Study Using the Diagnostic Interview Trauma, Stressors – Severe/Moderate ID
No research has been conducted on PTSD manifestation in children with severe or moderate intellectual disability (SID; IQ 20 – 49) and no PTSD...
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How to Administer the Performance Diagnostic Checklist-Human Services
The Performance Diagnostic Checklist-Human Services (PDC-HS) is a performance analysis tool used to identify barriers to performance in human-service...
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Visions of recovery: a cross-diagnostic examination of eating disorder pro-recovery communities on TikTok
Individuals seeking support or inspiration for eating disorder recovery may turn to pro-recovery content on social media sites such as TikTok. While...
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Integration Across Levels of Information Processing: A Case Study with Visual Category Learning
Marr proposed that the human mind can be thought of as an information processing system, which can be studied at the computational, algorithmic and...
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Learning and generalization of within-category representations in a rule-based category structure
The task requirements during the course of category learning are critical for promoting within-category representations (e.g., correlational...
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DIAGNOSTIC Classification Analysis of Problem-Solving Competence using Process Data: An Item Expansion Method
Process data refer to data recorded in computer-based assessments (CBAs) that reflect respondents’ problem-solving processes and provide greater...
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Utility of Diagnostic Classification for Children 0–5 to Assess Features of Autism: Comparing In-person and COVID-19 Telehealth Evaluations
Logistic regression was used to examine the use of Autism Spectrum diagnostic categories from pre-COVID-19 in-person evaluations and COVID-19...
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The Diagnostic Period for Autism: Risk and Protective Factors for Family Quality of Life in Early Childhood
During the diagnostic evaluation period for autism or intellectual disability (ID), families of young children are at risk for poor adjustment. The...
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Differences Between Black and White Caregivers in the Association Between Autism Diagnostic Process Satisfaction and Service Use
BackgroundBlack families of children with autism spectrum disorder have less access to high quality, culturally responsive care for their children.
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Predictors, Parental Views, and Concordance Across Diagnostic Sources of Autism in Male Youth with Fragile X Syndrome: Clinical Best Estimate and Community Diagnoses
Persons with fragile X syndrome (FXS) with cooccurring autism spectrum disorder (ASD) are at risk for poorer educational, medical, employment, and...
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How Well Can we Diagnose Autism in Adults? Evaluating an Informant-based Interview: The Dutch Developmental, Dimensional and Diagnostic Interview – Adult Version (3Di-Adult)
The current study evaluated a brief, informant-based autism interview: the Developmental, Dimensional and Diagnostic Interview – Adult Version...
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Whither Asperger’s Post DSM-5? An Opinion Piece
Although first described in 1944 (the year the description of infantile autism), Asperger’s syndrome attracted little attention until the publication...
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Long-term memory interference is resolved via repulsion and precision along diagnostic memory dimensions
When memories share similar features, this can lead to interference, and ultimately forgetting. With experience, however, interference can be...
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Where Should Psychopathic Traits Be Placed in a Diagnostic Framework? Evidence for a Grandiose-Manipulative Specifier for ODD
Youth exhibiting psychopathic traits are at increased risk for a more severe, persisting, and treatment-resistant course of antisocial behavior. To...
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Level-specific residuals and diagnostic measures, plots, and tests for random effects selection in multilevel and mixed models
Multilevel data structures are often found in multiple substantive research areas, and multilevel models (MLMs) have been widely used to allow for...
