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Direct linkCaitlin M. Hudac; Nicole R. Friedman; Victoria R. Ward; Rachel E. Estreicher; Grace C. Dorsey; Raphael A. Bernier; Evangeline C. Kurtz-Nelson; Rachel K. Earl; Evan E. Eichler; Emily Neuhaus – Journal of Autism and Developmental Disorders, 2024
We aimed to identify unique constellations of sensory phenotypes for genetic etiologies associated with diagnoses of autism spectrum disorder (ASD) and intellectual disability (ID). Caregivers reported on sensory behaviors via the Sensory Profile for 290 participants (younger than 25 years of age) with ASD and/or ID diagnoses, of which…
Descriptors: Genetics, Etiology, Comparative Analysis, Profiles
Download full textAraka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
Gafarov, Fail M.; Nikolaev, Konstantin S.; Ustin, Pavel N.; Berdnikov, Andrey A.; Zakharova, Valeria L.; Reznichenko, Sergey A. – EURASIA Journal of Mathematics, Science and Technology Education, 2021
The development and improvement of effective tools for predicting human behavior in real life through the features of its virtual activity opens up broad prospects for psychological support of the individual. The presence of such tools can be used by psychologists in educational, professional and other areas in the formation of trajectories of…
Descriptors: Social Media, Social Networks, Behavior Patterns, Prediction
Jones, Cathleen S.; Hartley, Nell T. – American Journal of Business Education, 2013
For decades,some of the most popular devices used in educating students and employees to the values of diversity are those that are based on a four-grid identification of behavior style. The results from the scoring of the instruments provide individual profiles in terms of a person's assertiveness, responsiveness, and preferred tone of…
Descriptors: Comparative Analysis, Correlation, Personality Measures, Personality Traits
Whalen, Carol K.; Henker, Barbara; Ishikawa, Sharon S.; Emmerson, Natasha A.; Swindle, Ralph; Johnston, Joseph A. – Journal of Attention Disorders, 2010
Objective: To compare the morning and afternoon/evening functioning of children with ADHD treated in the community with either atomoxetine or long-acting stimulants and reported to be doing well. Method: 109 8- to 12-year-olds and their mothers participated in one of three groups: stimulants (STIM, N = 26), atomoxetine (ATMX, N = 25), or…
Descriptors: Stimulants, Mothers, Hyperactivity, Attention Deficit Disorders
Giles, Lisa L.; DelBello, Melissa P.; Stanford, Kevin E.; Strakowski, Stephen M. – Child Psychiatry and Human Development, 2007
In order to recognize behavioral patterns in children and adolescents at risk for developing bipolar disorder, this study examined Child Behavior Checklist (CBCL) profiles of bipolar offspring both with (BD group) and without ("at-risk" or AR group) bipolar disorder themselves. The BD youth had three CBCL subscale T scores greater than…
Descriptors: At Risk Persons, Behavior Patterns, Comparative Analysis, Attention Deficit Disorders
Basile, Emanuele; Villa, L.; Selicorni, A.; Molteni, M. – Journal of Intellectual Disability Research, 2007
Background: Few studies have investigated functional and behavioural variables of Cornelia de Lange Syndrome (CdLS) in a large sample of individuals. The aim of this study is to provide greater insight into the clinical, behavioural and cognitive characteristics that are associated with CdLS. Methods: In total, 56 individuals with CdLS…
Descriptors: Comparative Analysis, Profiles, Age, Rating Scales
Sendbuehler, J. M.; And Others – 1979
Distinctions between non-suicidal and suicidal depression were investigated. Epidemiological profiles of depressed patients (40 suicidal and 40 non-suicidal) were matched for sex and age. Independent raters diagnosed each subject according to five classifications of depression. The Minnesota Multiphasic Personality Inventory (MMPI) scores for each…
Descriptors: Behavior Patterns, Classification, Comparative Analysis, Depression (Psychology)
