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Showing all 11 results Save | Export
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Ryan J. McGill; Stefan C. Dombrowski; Gary L. Canivez – Psychology in the Schools, 2025
The present study examined the posited structure of the Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V) ancillary index scores with normative sample participants aged 6-16 years (N = 2200) using a series of confirmatory factor analyzes (CFA) with maximum likelihood estimation. CFA results supported the retention of auditory…
Descriptors: Children, Intelligence Tests, Test Validity, Scores
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Schweizer, Karl; Troche, Stefan – Educational and Psychological Measurement, 2018
In confirmatory factor analysis quite similar models of measurement serve the detection of the difficulty factor and the factor due to the item-position effect. The item-position effect refers to the increasing dependency among the responses to successively presented items of a test whereas the difficulty factor is ascribed to the wide range of…
Descriptors: Investigations, Difficulty Level, Factor Analysis, Models
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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
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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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Chang, Mei; Paulson, Sharon E.; Finch, W. Holmes; Mcintosh, David E.; Rothlisberg, Barbara A. – Psychology in the Schools, 2014
This study examined the underlying constructs measured by the Woodcock-Johnson Tests of Cognitive Abilities, Third Edition (WJ-III COG) and the Stanford-Binet Intelligence Scales, Fifth Edition (SB5), based on the Cattell-Horn-Carrol (CHC) theory of cognitive abilities. This study reports the results of the first joint confirmatory factor analysis…
Descriptors: Factor Analysis, Intelligence Tests, Preschool Children, Maximum Likelihood Statistics
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Korpershoek, Hanke – Frontline Learning Research, 2016
The aims of the present study were (1) to identify to what extent school motivation and school commitment contributed to the explanation of students' academic achievement in addition to the effect of students' cognitive capacities, (2) to find out whether school commitment mediated the relation between school motivation and academic achievement,…
Descriptors: Correlation, Secondary School Students, Student Motivation, Academic Achievement
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Major, Jason T.; Johnson, Wendy; Bouchard, Thomas J., Jr. – Intelligence, 2011
Floyd, Shands, Rafael, Bergeron and McGrew (2009) used generalizability theory to test the reliability of general-factor loadings and to compare three different sources of error in them: the test battery size, the test battery composition, the factor-extraction technique, and their interactions. They found that their general-factor loadings were…
Descriptors: Generalizability Theory, Intelligence, Intelligence Tests, Twins
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Chowdhury, Monali; Aman, Michael G.; Lecavalier, Luc; Smith, Tristram; Johnson, Cynthia; Swiezy, Naomi; McCracken, James T.; King, Bryan; McDougle, Christopher J.; Bearss, Karen; Deng, Yanhong; Scahill, Lawrence – Autism: The International Journal of Research and Practice, 2016
Previously, we adapted the Home Situations Questionnaire to measure behavioral non-compliance in everyday settings in children with pervasive developmental disorders. In this study, we further revised this instrument for use in autism spectrum disorder and examined its psychometric properties (referred to as the Home Situations…
Descriptors: Factor Structure, Psychometrics, Questionnaires, Pervasive Developmental Disorders
Dunmire, Phyllisann M.; And Others – 1988
Confirmatory maximum likelihood factor analysis was used to determine how accurately each of several hypothesized combinations of first-order and/or higher-order factors could describe the covariation within selected sub-matrices taken from the total correlation matrix originally analyzed by M. O'Sullivan et al. (1965). Focus was on evaluating the…
Descriptors: Behavior Patterns, Factor Analysis, Intelligence Tests, Maximum Likelihood Statistics
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Khattab, Ali-Maher; And Others – Educational and Psychological Measurement, 1982
A causal modeling system, using confirmatory maximum likelihood factor analysis with the LISREL IV computer program, evaluated the construct validity underlying the higher order factor structure of a given correlation matrix of 46 structure-of-intellect tests emphasizing the product of transformations. (Author/PN)
Descriptors: Cognitive Measurement, Cognitive Processes, Factor Analysis, Intelligence Tests
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Jackson, Douglas N., III; And Others – Intelligence, 1993
In a computerized video-game-like spatial ability measure administered to 94 university students, the number of target hits was correlated with verbal intelligence quotient. The dynamic spatial measure does not load substantially on a general intellectual ability factor, but it does provide additional evidence that dynamic spatial ability is…
Descriptors: College Students, Computer Games, Correlation, Factor Analysis