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Fenollar-Cortés, Javier; López-Pinar, Carlos; Watkins, Marley W. – International Journal of School & Educational Psychology, 2019
The factorial structure of the WISC-IV for 859 Spanish children diagnosed with ADHD was examined. A bifactor model with the four factors first identified by Wechsler (2003a) was the best fit to the data. The Coding and Symbol Search subtests were particularly poor measures of "g" but relatively strong measures of the Processing Speed…
Descriptors: Foreign Countries, Intelligence Tests, Attention Deficit Hyperactivity Disorder, Test Validity
Styck, Kara M.; Watkins, Marley W. – Journal of Learning Disabilities, 2016
The structural validity of the "Wechsler Intelligence Scale for Children-Fourth Edition" (WISC-IV) was evaluated using confirmatory factor analysis for a clinical sample of 1,537 students diagnosed with specific learning disabilities (SLD) by school psychologists in two large southwestern school districts. Results indicated that a…
Descriptors: Intelligence Tests, Children, Test Validity, Factor Analysis
Devena, Sarah E.; Watkins, Marley W. – Journal of Applied School Psychology, 2012
The Wechsler Intelligence Scale for Children-Fourth Edition General Abilities Index and Cognitive Proficiency Index have been advanced as possible diagnostic markers of attention deficit hyperactivity disorder. This hypothesis was tested with a hospital sample with attention deficit hyperactivity disorder (n = 78), a referred but nondiagnosed…
Descriptors: Attention Deficit Hyperactivity Disorder, Intelligence, Hospitals, Measures (Individuals)
Canivez, Gary L.; Watkins, Marley W. – Psychological Assessment, 2010
The present study examined the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV; D. Wechsler, 2008a) standardization sample using exploratory factor analysis, multiple factor extraction criteria, and higher order exploratory factor analysis (J. Schmid & J. M. Leiman, 1957) not included in the WAIS-IV Technical…
Descriptors: Intelligence, Factor Structure, Measures (Individuals), Factor Analysis
Canivez, Gary L.; Watkins, Marley W. – School Psychology Quarterly, 2010
The factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV; Wechsler, 2008a) with the adolescent participants (ages 16-19 years; N = 400) in the standardization sample was assessed using exploratory factor analysis, multiple factor extraction criteria, and higher-order exploratory factor analyses. Results from…
Descriptors: Intelligence, Factor Structure, Factor Analysis, Measures (Individuals)
Watkins, Marley W. – Psychological Assessment, 2010
The structure of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV; D. Wechsler, 2003a) was analyzed via confirmatory factor analysis among a national sample of 355 students referred for psychoeducational evaluation by 93 school psychologists from 35 states. The structure of the WISC-IV core battery was best represented by four…
Descriptors: Intelligence, School Psychologists, Factor Structure, Measures (Individuals)
Glutting, Joseph J.; Watkins, Marley W.; Konold, Timothy R.; McDermott, Paul A. – Journal of Special Education, 2006
This study employed observed factor index scores as well as latent ability constructs from the "Wechsler Intelligence Scale for Children-Fourth Edition" (WISC-IV; Wechsler, 2003) in estimating reading and mathematics achievement on the "Wechsler Individual Achievement Test-Second Edition" (WIAT-II; Wechsler, 2002). Participants…
Descriptors: Measures (Individuals), Memory, Structural Equation Models, Multiple Regression Analysis
Smith, Courtney B.; Watkins, Marley W. – Learning Disabilities Research and Practice, 2004
Regrouping Wechsler Intelligence Scale for Children-Third Edition (WISC-III) subtests into Bannatyne's spatial, conceptual, and sequential patterns has been thought by many to identify children with learning disabilities (LD). This study investigated the prevalence and diagnostic utility of WISC-III Bannatyne patterns by comparing 1,302 children…
Descriptors: Reading Difficulties, Intelligence, Learning Disabilities, Intelligence Tests
Kotz, Kasey M.; Watkins, Marley W.; McDermott, Paul A. – School Psychology Review, 2008
Some researchers have argued that discrepant broad index scores invalidate IQs, but others have questioned the fundamental logic of that argument. To resolve this debate, the present study used a nationally representative sample of children (N = 1,200) who were matched individually for IQ. Children with significantly uneven broad index score…
Descriptors: Validity, Scores, Measures (Individuals), Intelligence
Oh, Hyeon-Joo; Glutting, Joseph J.; Watkins, Marley W.; Youngstrom, Eric A.; McDermott, Paul A. – Journal of Special Education, 2004
In this study, the authors used structural equation modeling to investigate relationships between ability constructs from the "Wechsler Intelligence Scale for Children-Third Edition" (WISC-III; Wechsler, 1991) in explaining reading and mathematics achievement constructs on the "Wechsler Individual Achievement Test" (WIAT;…
Descriptors: Psychologists, Structural Equation Models, Mathematics Achievement, Intelligence
Watkins, Marley W.; Canivez, Gary L. – Psychological Assessment, 2004
The Wechsler Intelligence Scale for Children--Third Edition (D. Wechsler, 1991; WISC-III) is often used to identify subtest-based cognitive strengths and weaknesses that are subsequently used to generate interventions. Given that intelligence is presumed to be an enduring trait, cognitive strengths and weaknesses identified via subtest analysis…
Descriptors: Intelligence, Intelligence Tests, Cognitive Ability, Children
Kush, Joseph C.; Watkins, Marley W. – 1994
The factor structure of the Wechsler Intelligence Scale for Children (Revised) (WISC-R) for both regular and special education populations has been well documented. Published data have also indicated that the factor structure of the WISC-R is similar across ethnic groups. With the development of the new WISC-III, comparable information is not yet…
Descriptors: Elementary Education, Elementary School Students, Ethnic Groups, Factor Structure