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Showing 1 to 15 of 33 results Save | Export
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Zeller, Florian; Krampen, Dorothea; Reiß, Siegbert; Schweizer, Karl – Educational and Psychological Measurement, 2017
The item-position effect describes how an item's position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine…
Descriptors: Goodness of Fit, Simulation, Factor Analysis, Intelligence Tests
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Canivez, Gary L.; Watkins, Marley W.; Good, Rebecca; James, Kate; James, Trevor – British Journal of Educational Psychology, 2017
Background: Irish educational psychologists frequently use the Wechsler Intelligence Scale for Children-Fourth UK Edition (WISC-IV[superscript UK]; Wechsler, 2004, Wechsler Intelligence Scale for Children-Fourth UK Edition, London, UK, Harcourt Assessment) in clinical assessments of children with learning difficulties. Unfortunately, reliability…
Descriptors: Construct Validity, Children, Intelligence Tests, Comparative Analysis
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Paz-Baruch, Nurit; Leikin, M.; Leikin, R. – Gifted and Talented International, 2022
Mathematical giftedness (MG) is an intriguing phenomenon, the nature of which has yet to be sufficiently explored. This study goes a step further in understanding how MG is related to expertise in mathematics (EM) and general giftedness (G). Cognitive testing was conducted among 197 high school students with different levels of G and of EM. Based…
Descriptors: Gifted, Mathematical Aptitude, Expertise, Factor Analysis
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Zhang, Hui; He, Yunfeng; Tao, Ting; Shi, Jian-Nong – High Ability Studies, 2016
The term "intellectually gifted rural-to-urban migrant children" refers to intellectually gifted children who are in migration from rural to urban areas. We compared performances on seven attention tasks among intellectually gifted (n = 26) and average (n = 30) rural-to-urban migrant and intellectually gifted urban children (n = 31). Our…
Descriptors: Academically Gifted, Rural to Urban Migration, Children, Attention
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Elwin, Marie; Schröder, Agneta; Ek, Lena; Wallsten, Tuula; Kjellin, Lars – Journal of Autism and Developmental Disorders, 2017
We identified clusters of atypical sensory functioning adults with ASC by hierarchical cluster analysis. A new scale for commonly self-reported sensory reactivity was used as a measure. In a low frequency group (n = 37), all subscale scores were relatively low, in particular atypical sensory/motor reactivity. In the intermediate group (n = 17)…
Descriptors: Adults, Autism, Pervasive Developmental Disorders, Multivariate Analysis
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Jewsbury, Paul A.; Bowden, Stephen C.; Duff, Kevin – Journal of Psychoeducational Assessment, 2017
The Cattell-Horn-Carroll (CHC) model is a comprehensive model of the major dimensions of individual differences that underlie performance on cognitive tests. Studies evaluating the generality of the CHC model across test batteries, age, gender, and culture were reviewed and found to be overwhelmingly supportive. However, less research is available…
Descriptors: Intelligence Tests, Individual Differences, Executive Function, Neuropsychology
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Groom, Madeleine J.; Kochhar, Puja; Hamilton, Antonia; Liddle, Elizabeth B.; Simeou, Marina; Hollis, Chris – Journal of Autism and Developmental Disorders, 2017
This study investigated the neurobiological basis of comorbidity between autism spectrum disorder (ASD) and attention deficit/hyperactivity disorder (ADHD). We compared children with ASD, ADHD or ADHD+ASD and typically developing controls (CTRL) on behavioural and electrophysiological correlates of gaze cue and face processing. We measured effects…
Descriptors: Autism, Pervasive Developmental Disorders, Attention Deficit Hyperactivity Disorder, Comorbidity
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Park, Sunhee; Callahan, Carolyn M.; Ryoo, Ji Hoon – Journal for the Education of the Gifted, 2016
The psychometric qualities of the six- and eight-item implicit theories of intelligence scales that Dweck suggested were compared using a confirmatory factor analysis with data from 239 gifted students (100 students in Grades 5-7, 139 students in Grades 8-11). The results indicate that the six-item scale fits the data better than the eight-item…
Descriptors: Psychometrics, Intelligence Tests, Factor Analysis, Comparative Analysis
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Brandenburg, Janin; Klesczewski, Julia; Schuchardt, Kirsten; Fischbach, Anne; Büttner, Gerhard; Hasselhorn, Marcus – Journal of Educational Psychology, 2017
Although children with specific reading disorder (RD) have often been compared to typically achieving children on various phonological processing tasks, to our knowledge no study so far has examined whether the structure of phonological processing applies to both groups of children alike. According to Wagner and Torgesen (1987), phonological…
Descriptors: Foreign Countries, Elementary School Students, Grade 3, Phonological Awareness
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Canivez, Gary L.; Kush, Joseph C. – Journal of Psychoeducational Assessment, 2013
Weiss, Keith, Zhu, and Chen (2013a) and Weiss, Keith, Zhu, and Chen (2013b), this issue, report examinations of the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) and Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), respectively; comparing Wechsler Hierarchical Model (W-HM) and…
Descriptors: Intelligence Tests, Factor Structure, Comparative Analysis, Arithmetic
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Williams, Diane L.; Minshew, Nancy J.; Goldstein, Gerald – Autism: The International Journal of Research and Practice, 2015
More than 20?years ago, Minshew and colleagues proposed the Complex Information Processing model of autism in which the impairment is characterized as a generalized deficit involving multiple modalities and cognitive domains that depend on distributed cortical systems responsible for higher order abilities. Subsequent behavioral work revealed a…
Descriptors: Autism, Pervasive Developmental Disorders, Late Adolescents, Adults
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Beaujean, A. Alexander; Freeman, Megan Joseph; Youngstrom, Eric; Carlson, Gabrielle – Assessment, 2012
This study compared the structure of cognitive ability (specifically, verbal/crystallized ["Gc"] and visual-spatial ability ["Gv"]), as measured in the Wechsler Intelligence Scale for Children, in youth with manic symptoms with a nationally representative group of similarly aged youth. Multigroup confirmatory factor analysis…
Descriptors: Cognitive Ability, Intelligence Tests, Verbal Ability, Spatial Ability
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Weiss, Lawrence G.; Keith, Timothy Z.; Zhu, Jianjun; Chen, Hsinyi – Journal of Psychoeducational Assessment, 2013
The fourth edition of the Wechsler Adult Intelligence Scale (WAIS-IV) is a revised and substantially updated version of its predecessor. The purposes of this research were to determine the constructs measured by the test and the consistency of measurement across large normative and clinical samples. Competing higher order WAIS-IV four- and…
Descriptors: Intelligence Tests, Measures (Individuals), Adults, Factor Analysis
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van Bergen, Elsje; de Jong, Peter F.; Maassen, Ben; Krikhaar, Evelien; Plakas, Anna; van der Leij, Aryan – Journal of Learning Disabilities, 2014
Do children who go on to develop dyslexia show normal verbal and nonverbal development before reading onset? According to the aptitude-achievement discrepancy model, dyslexia is defined as a discrepancy between intelligence and reading achievement. One of the underlying assumptions is that the general cognitive development of children who fail to…
Descriptors: Children, Intelligence Quotient, Dyslexia, Young Children
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Berninger, Virginia; Abbott, Robert; Cook, Clayton R.; Nagy, William – Journal of Learning Disabilities, 2017
Relationships between attention/executive functions and language learning were investigated in students in Grades 4 to 9 (N = 88) with and without specific learning disabilities (SLDs) in multiword syntax in oral and written language (OWL LD), word reading and spelling (dyslexia), and subword letter writing (dysgraphia). Prior…
Descriptors: Correlation, Attention Control, Executive Function, Multiple Regression Analysis
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