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Bilge Bal-Sezerel; Deniz Arslan; Ugur Sak – Measurement: Interdisciplinary Research and Perspectives, 2025
In this study, the factorial invariance of the ASIS (Anadolu-Sak Intelligence Scale) was examined across time. Data were obtained from there groups of first-grade students who were administered the ASIS in 2020, 2021, and 2022. The analyses were conducted using multisample confirmatory factor analyses. Factorial invariance was tested with six…
Descriptors: Intelligence Tests, Grade 1, Factor Structure, Scores
Kush, Joseph C.; Canivez, Gary L. – International Journal of School & Educational Psychology, 2021
This study utilized confirmatory factor analyses to examine the latent factor structure of the Wechsler Intelligence Scale for Children--Fourth Edition, Italian adaptation (WISC-IV Italian) standardization sample. One through five, oblique first-order factor models and higher-order as well as bifactor models were examined and compared using CFA.…
Descriptors: Children, Intelligence Tests, Foreign Countries, Construct Validity
Beauducel, André; Kersting, Martin – Educational and Psychological Measurement, 2020
We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor…
Descriptors: Factor Structure, Factor Analysis, Sample Size, Intelligence
McGill, Ryan J. – Psychology in the Schools, 2017
The present study examined the factor structure of the Luria interpretive model for the Kaufman Assessment Battery for Children-Second Edition (KABC-II) with normative sample participants aged 7-18 (N = 2,025) using confirmatory factor analysis with maximum-likelihood estimation. For the eight subtest Luria configuration, an alternative…
Descriptors: Children, Intelligence Tests, Models, Factor Structure
Potvin, Deborah C. H.; Keith, Timothy Z.; Caemmerer, Jacqueline M.; Trundt, Katherine M. – Journal of Psychoeducational Assessment, 2015
With an age range from 3 to 13 years, the Kaufman Assessment Battery for Children-Second Edition (KABC-II) offers an appealing option for the assessment of cognitive abilities for children. Although independent research has provided evidence of the construct validity of the KABC-II for school-age children, previous studies have rarely included an…
Descriptors: Intelligence Tests, Factor Structure, Preschool Children, Cognitive Ability
Varela, Otmar; Mead, Esther – Journal of Education for Business, 2018
Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on…
Descriptors: Teamwork, Evaluation Methods, Test Validity, Psychometrics
Gignac, Gilles E.; Watkins, Marley W. – Multivariate Behavioral Research, 2013
Previous confirmatory factor analytic research that has examined the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) has endorsed either higher order models or oblique factor models that tend to amalgamate both general factor and index factor sources of systematic variance. An alternative model that has not yet…
Descriptors: Intelligence Tests, Test Reliability, Factor Structure, Models
Ward, L. Charles; Bergman, Maria A.; Hebert, Katina R. – Psychological Assessment, 2012
D. Wechsler (2008b) reported confirmatory factor analyses (CFAs) with standardization data (ages 16-69 years) for 10 core and 5 supplemental subtests from the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV). Analyses of the 15 subtests supported 4 hypothesized oblique factors (Verbal Comprehension, Working Memory, Perceptual Reasoning,…
Descriptors: Intelligence Tests, Models, Factor Analysis, Goodness of Fit
Molenaar, Dylan; Dolan, Conor V.; van der Maas, Han L. J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
In this article we present factor models to test for ability differentiation. Ability differentiation predicts that the size of IQ subtest correlations decreases as a function of the general intelligence factor. In the Schmid-Leiman decomposition of the second-order factor model, we model differentiation by introducing heteroscedastic residuals,…
Descriptors: Factor Structure, Models, Intelligence Quotient, Correlation
Ward, Kimberly E.; Rothlisberg, Barbara A.; McIntosh, David E.; Bradley, Madeline H. – Psychology in the Schools, 2011
The purpose of this study was to examine the factor structure of the Stanford-Binet Intelligence Scales, Fifth Edition (SB-V), based on the Cattell-Horn-Carroll (CHC) theory of intelligence using a sample of 200 preschool children. The CHC framework uses three different models: one similar to Spearman's "g", one similar to the…
Descriptors: Preschool Children, Intelligence Tests, Factor Structure, Cognitive Ability
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
Golay, Philippe; Lecerf, Thierry – Psychological Assessment, 2011
According to the most widely accepted Cattell-Horn-Carroll (CHC) model of intelligence measurement, each subtest score of the Wechsler Intelligence Scale for Adults (3rd ed.; WAIS-III) should reflect both 1st- and 2nd-order factors (i.e., 4 or 5 broad abilities and 1 general factor). To disentangle the contribution of each factor, we applied a…
Descriptors: Adults, Intelligence Tests, Measures (Individuals), Factor Analysis
Peer reviewedKhattab, Ali-Maher; And Others – Educational and Psychological Measurement, 1987
Confirmatory factor analysis was used to reanalyze correlational data from selected variables in Guilford's Aptitudes Research Project. Results indicated Guilford's model reproduced the original correlation matrix more closely than other models. Most of Guilford's tests indicated high loadings on their hypothesized factors. (GDC)
Descriptors: Factor Structure, High Schools, Intelligence, Intelligence Tests
Maller, Susan J.; French, Brian F. – Educational and Psychological Measurement, 2004
The Universal Nonverbal Intelligence Test (UNIT) is an individually administered, nonverbal intelligence test designed for use with non-English-speaking, limited English proficient, or deaf children. The aim of this study was to assess the factor structure invariance of the UNIT across deaf and standardization samples through the use of…
Descriptors: Models, Memory, Deafness, Nonverbal Ability
Peer reviewedMcCallum, R. Steve; And Others – Contemporary Educational Psychology, 1988
Administration of the Stanford-Binet Intelligence Scale (fourth edition) to 60 elementary school students (in grades four, five, and six) resulted in means consistent with their gifted status. Factor analyses, including LISREL confirmatory analysis, offered only partial support to the Binet model. (TJH)
Descriptors: Academically Gifted, Construct Validity, Elementary Education, Elementary School Students
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