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Showing 1 to 15 of 16 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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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2014
This research note contributes to the discussion of methods that can be used to identify useful auxiliary variables for analyses of incomplete data sets. A latent variable approach is discussed, which is helpful in finding auxiliary variables with the property that if included in subsequent maximum likelihood analyses they may enhance considerably…
Descriptors: Data Analysis, Identification, Maximum Likelihood Statistics, Statistical Analysis
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Berzenski, Sara R.; Yates, Tuppett M. – Developmental Psychology, 2017
The ability to recognize and label emotions serves as a building block by which children make sense of the world and learn how to interact with social partners. However, the timing and salience of influences on emotion recognition development are not fully understood. Path analyses evaluated the contributions of parenting and child narrative…
Descriptors: Child Rearing, Cognitive Ability, Emotional Development, Emotional Response
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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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Clarke, Paula J.; Paul, Shirley-Anne S.; Smith, Glynnis; Snowling, Margaret J.; Hulme, Charles – Scientific Studies of Reading, 2017
This study evaluated two 20-week reading interventions for pupils entering secondary school with reading difficulties. The interventions were delivered by trained teaching assistants (three 35-min sessions per week). 287 pupils (ages 11-13) from 27 schools were randomly allocated to three groups: reading intervention (targeting word recognition…
Descriptors: Transitional Programs, Reading Instruction, Secondary School Students, Intervention
Steen-Baker, Allison A.; Ng, Shukhan; Payne, Brennan R.; Anderson, Carolyn J.; Federmeier, Kara D.; Stine-Morrow, Elizabeth A. L. – Grantee Submission, 2017
The facilitation of word processing by sentence context reflects the interaction between the build-up of message-level semantics and lexical processing. Yet, little is known about how this effect varies through adulthood as a function of reading skill. In this study, Participants 18-64 years old with a range of literacy competence read simple…
Descriptors: Context Effect, Language Processing, Literacy, Age Differences
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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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Jukes, Matthew C. H.; Turner, Elizabeth L.; Dubeck, Margaret M.; Halliday, Katherine E.; Inyega, Hellen N.; Wolf, Sharon; Zuilkowski, Stephanie Simmons; Brooker, Simon J. – Journal of Research on Educational Effectiveness, 2017
We evaluated a program to improve literacy instruction on the Kenyan coast using training workshops, semiscripted lesson plans, and weekly text-message support for teachers to understand its impact on students' literacy outcomes and on the classroom practices leading to those outcomes. The evaluation ran from the beginning of Grade 1 to the end of…
Descriptors: Foreign Countries, Literacy Education, Faculty Development, Teacher Improvement
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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
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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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He, Wei; Wolfe, Edward W. – Educational and Psychological Measurement, 2012
In administration of individually administered intelligence tests, items are commonly presented in a sequence of increasing difficulty, and test administration is terminated after a predetermined number of incorrect answers. This practice produces stochastically censored data, a form of nonignorable missing data. By manipulating four factors…
Descriptors: Individual Testing, Intelligence Tests, Test Items, Test Length
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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
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