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Graves, Scott L., Jr.; Johnson, Kyanna; Phillips, Shanye; Jones, Mark; Jacobs, Marcel – Psychology in the Schools, 2023
Research has indicated that school aged (6-16 years) versions of cognitive assessment instruments have varying levels of linguistic demand, which could impact assessment results for placement purposes. However, a significant limitation to this research is the fact that it has not been replicated with cognitive assessment instruments used in…
Descriptors: Cognitive Measurement, Preschool Children, Cognitive Tests, Intelligence Tests
Farmer, Ryan L.; McGill, Ryan J.; Dombrowski, Stefan C.; Canivez, Gary L. – Canadian Journal of School Psychology, 2021
Surveys reveal that many school psychologists continue to employ cognitive profile analysis despite the long-standing history of negative research results from this class of practice. This begets the question: why do questionable assessment practices persist in school psychology? To provide insight on this dilemma, this article presents the…
Descriptors: School Psychology, School Psychologists, Cognitive Tests, Cognitive Measurement
Nguyen, Tutrang; Malone, Lizabeth; Atkins-Burnett, Sally; Larson, Addison; Cannon, Judy – Administration for Children & Families, 2022
The Head Start Family and Child Experiences Survey (FACES) and the American Indian and Alaska Native Head Start Family and Child Experiences Survey (AIAN FACES) are separate studies done successively over time. One goal for these studies is to provide a national picture of children's readiness for school. In this research brief, the authors use…
Descriptors: Cognitive Measurement, Cognitive Ability, School Readiness, Low Income Students
Whitaker, Simon – International Journal of Developmental Disabilities, 2018
The European Union has seen an increased number of asylum seekers and economic migrants over the past few years. There will be request to assess some of these individuals to see if they have an intellectual disability (ID). If this is to be done using the current internationally recognized definitions of ID, we will need to be confident that the…
Descriptors: Foreign Countries, Cognitive Measurement, Cognitive Ability, Intellectual Disability
Multani, Namita; Rudzicz, Frank; Wong, Wing Yiu Stephanie; Namasivayam, Aravind Kumar; van Lieshout, Pascal – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Random item generation (RIG) involves central executive functioning. Measuring aspects of random sequences can therefore provide a simple method to complement other tools for cognitive assessment. We examine the extent to which RIG relates to specific measures of cognitive function, and whether those measures can be estimated using RIG…
Descriptors: Executive Function, Cognitive Ability, Older Adults, Young Adults
Kaufman, Alan S. – Journal of Psychoeducational Assessment, 2013
The two featured articles and eight commentaries on the WISC-IV (Wechsler, 2003) and WAIS-IV (Wechsler, 2008) in this special issue of "Journal of Psychoeducational Assessment" are of exceptional quality. As a collective, this special issue greatly advances the field of cognitive assessment by intelligently synthesizing the best of…
Descriptors: Intelligence Tests, Intelligence Quotient, Cognitive Ability, Cognitive Measurement
Foley-Nicpon, Megan; Assouline, Susan G.; Fosenburg, Staci – Journal of Advanced Academics, 2015
Researchers investigated the self-concept profiles of twice-exceptional students in relationship to their cognitive ability and participation in educational services. All subjects (N = 64) had high ability (IQ score at or above the 90th percentile) and were diagnosed with either an autism spectrum disorder (ASD; n = 53) or specific learning…
Descriptors: Self Concept, Academic Ability, Exceptional Child Research, Profiles
Castejon, Juan L.; Perez, Antonio M.; Gilar, Raquel – Intelligence, 2010
This paper compares different theoretical models of the structure of intelligence, based on the analysis of data obtained in a series of measured abilities corresponding to the Spectrum assessment activities (Gardner, Feldman & Krechevsky, 1998) in a sample of 393 children enrolled in kindergarten and first grade. The data were analyzed using…
Descriptors: Multiple Intelligences, Models, Factor Structure, Factor Analysis
Morgan, Kimberly E.; Rothlisberg, Barbara A.; McIntosh, David E.; Hunt, Madeline S. – Psychology in the Schools, 2009
The present study assessed the Kaufman Assessment Battery for Children, Second Edition (KABC-II) in relation to the synthesized Cattell-Horn-Carroll (CHC) theory of intelligence with a preschool sample. Participants were 200 preschool children between four and five years of age. A confirmatory factor analysis (CFA) was conducted, and different…
Descriptors: Intelligence, Preschool Children, Factor Analysis, Item Analysis
Bartholomew, David J.; Deary, Ian J.; Lawn, Martin – Psychological Review, 2009
Modern factor analysis is the outgrowth of Spearman's original "2-factor" model of intelligence, according to which a mental test score is regarded as the sum of a general factor and a specific factor. As early as 1914, Godfrey Thomson realized that the data did not require this interpretation and he demonstrated this by proposing what became…
Descriptors: Psychological Testing, Factor Analysis, Intelligence Tests, Cognitive Ability
Reeve, Charlie L.; Bonaccio, Silvia – Intelligence, 2008
Although test anxiety is typically negatively related to performance on cognitive ability tests, little research has systematically investigated whether differences in test anxiety result in measurement bias on cognitive ability tests. The current paper uses a structural equation modeling technique to explicitly test for measurement bias due to…
Descriptors: Structural Equation Models, Test Anxiety, Cognitive Ability, Bias
Coolican, Jamesie; Bryson, Susan E.; Zwaigenbaum, Lonnie – Journal of Autism and Developmental Disorders, 2008
The Fifth Edition of the Stanford-Binet Intelligence Scales (SB5; Roid, G. H. (2003). "Stanford Binet intelligence scales" (5th ed.). Itasca, IL: Riverside Publishing) is relatively new, with minimal published research on general populations and none with special populations. The present study provides information on the cognitive profiles of…
Descriptors: Intelligence Quotient, Intelligence Tests, Cognitive Measurement, Cognitive Ability
Baumert, Jurgen; Ludtke, Oliver; Trautwein, Ulrich; Brunner, Martin – Educational Research Review, 2009
Given the relatively high intercorrelations observed between mathematics achievement, reading achievement, and cognitive ability, it has recently been claimed that student assessment studies (e.g., TIMSS, PISA) and intelligence tests measure a single cognitive ability that is practically identical to general intelligence. The present article uses…
Descriptors: Intelligence, Reading Achievement, Mathematics Achievement, Outcomes of Education
Leah Voorhies – ProQuest LLC, 2007
This study presented the past, current, and proposed practice of intelligence testing with a unique population, students identified as deaf and hard of hearing (D/HH). As a basis for describing the cognitive ability of Utah's D/HH students and to improve practice guidelines, 61 D/HH students served by Utah Schools for the Deaf and the Blind (USDB)…
Descriptors: Deafness, Hard of Hearing, Cognitive Measurement, Students with Disabilities

Jensen, Arthur R. – Intelligence, 1987
Psychometric g is by far more highly correlated with all tests conventionally called "IQ," cognitive abilities, and the like, than any other single factor or combination of other factors independent of g. Researchers must now examine the nature of psychometric g, including its causal underpinnings. (LMO)
Descriptors: Cognitive Ability, Cognitive Measurement, Intelligence Quotient, Intelligence Tests