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Marta Wójcik; Joanna Beck; Katarzyna Chyl; Agnieszka Dynak; Gabriela Dziegiel-Fivet; Magdalena Luniewska; Anna Grabowska; Katarzyna Jednoróg; Agnieszka Debska – Language Learning, 2024
What is the relationship between literacy skills and implicit learning? To address previous mixed findings, we compared school-aged readers, typical (CON, n = 54) and with dyslexia (DYS, n = 53), in relation to their performance on a serial reaction time task. For the first time, we also included an isolated spelling deficit group (ISD, n = 30) to…
Descriptors: Students with Disabilities, Dyslexia, Literacy, Learning
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Bernis Sütçübasi; Tugçe Balli; Herbert Roeyers; Jan R. Wiersema; Sami Çamkerten; Ozan Cem Öztürk; Baris Metin; Edmund Sonuga-Barke – Journal of Attention Disorders, 2025
Objective: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of intrinsic patterns of brain connectivity revealed during resting state using machine learning…
Descriptors: Elementary School Students, Secondary School Students, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders
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Lorusso, Maria Lulsa; Facoetti, Andrea; Bakker, Dirk J. – Journal of Learning Disabilities, 2011
In this study, 123 children with a diagnosis of developmental dyslexia were assigned to different treatment groups, either variations of Bakker's intervention program based on the balance model or a control, a specific reading training group. Thorough cognitive and neuropsychological assessment allowed determination of the subtype of dyslexia…
Descriptors: Intervention, Reading Improvement, Dyslexia, Phonemic Awareness
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Taggart, William M.; And Others – Educational and Psychological Measurement, 1991
Relationships among the scales of the Myers Briggs Type Indicator and the Human Information Processing Survey revealed in a study by S. C. Shiflett (1989) were reinvestigated in a study involving 554 college students (270 males and 284 females). One significant gender difference among the correlations was found. (SLD)
Descriptors: Brain Hemisphere Functions, Cognitive Processes, College Students, Comparative Testing
Yachimowicz, David J.; And Others – 1990
The psychometric properties of a paper-and-pencil instrument for assessing individual differences in cerebral dominance are explored. The instrument, Your Style of Learning and Thinking (SOLAT), contains 50 multiple-choice questions. The study subjects consisted of three groups: 235 undergraduate and graduate students, 124 undergraduate and…
Descriptors: Adults, Brain Hemisphere Functions, College Students, Comparative Testing
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Genovese, Jeremy E. C. – Journal of Genetic Psychology, 2005
In this study, the author tested the reliability, concurrent validity, and predictive validity of three hemispheric cognitive style instruments: (a) the Preference Test (PT; R. Zenhausern, 1978), (b) the Polarity Questionnaire (PQ; B. E. Morton, 2002), and (c) the Wagner Preference Inventory II (WAPI II; R. F. Wagner & K. A. Wells, 1985).…
Descriptors: Cognitive Style, Item Analysis, Psychometrics, Multitrait Multimethod Techniques