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Simonet, Daniel V.; Miller, Katherine E.; Askew, Kevin L.; Sumner, Kenneth E.; Mortillaro, Marcello; Schlegel, Katja – Journal of Intelligence, 2021
Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we…
Descriptors: Emotional Intelligence, Intelligence Tests, Self Control, Psychometrics
Is the Factor Observed in Investigations on the Item-Position Effect Actually the Difficulty Factor?
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
Do Adaptive Representations of the Item-Position Effect in APM Improve Model Fit? A Simulation Study
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
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
Paz-Baruch, Nurit – Journal for the Education of the Gifted, 2017
The Actiotope Model of Giftedness focuses on the interactions between the individual and the environment. Developing excellence requires educational and learning capitals that can support the individual in achieving a specific target. This study examined differences in the educational and learning capitals of students graded in three levels of…
Descriptors: Foreign Countries, Academically Gifted, Models, Human Capital
Peer reviewedDeShon, Richard P.; And Others – Intelligence, 1995
The verbal overshadowing paradigm was used with 167 undergraduates to determine whether performance across all items on Raven's Advanced Progressive Matrices was dependent on the same cognitive processes. Results clearly indicated that a subset of items was dependent on visuospatial processes, while another subset required verbal-analytic…
Descriptors: Cognitive Processes, Higher Education, Intelligence, Intelligence Tests

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