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Thomas, Christopher L.; Hayes, Amy Roberson – Journal of Psychoeducational Assessment, 2021
One of the primary goals of higher education is to enhance students' critical thinking skills as they work to complete their program of study. As such, it is for critical educators and academic program coordinators to have access to assessment tools that can provide accurate estimates of the cognitive and dispositional domains of higher-order…
Descriptors: Structural Equation Models, Construct Validity, Critical Thinking, Cognitive Measurement
Engelhard, George, Jr.; Wang, Jue – Measurement: Interdisciplinary Research and Perspectives, 2014
The authors of the Focus article pose important questions regarding whether or not performance-based tasks related to executive functioning are best viewed as reflective or formative indicators. Miyake and Friedman (2012) define executive functioning (EF) as "a set of general-purpose control mechanisms, often linked to the prefrontal cortex…
Descriptors: Executive Function, Cognitive Measurement, Structural Equation Models, Item Response Theory
Mercier, Kevin; Silverman, Stephen – Research Quarterly for Exercise and Sport, 2014
Purpose: The purpose of this investigation was to develop an instrument that has scores that are valid and reliable for measuring students' attitudes toward fitness testing. Method: The method involved the following steps: (a) an elicitation study, (b) item development, (c) a pilot study, and (d) a validation study. The pilot study included 427…
Descriptors: High School Students, Student Attitudes, Measurement Techniques, Program Validation
Wei, Chun-Wang; Chen, Nian-Shing; Kinshuk, – Educational Technology Research and Development, 2012
It is now possible to create flexible learning environments without time and distance barriers on the internet. However, research has shown that learners typically experience isolation and alienation in online learning environments. These negative experiences can be reduced by enhancing social presence. In order to better facilitate the perceived…
Descriptors: Electronic Learning, Cues, Structural Equation Models, Online Courses
Willner, Cynthia J.; Gatzke-Kopp, Lisa M.; Bierman, Karen L.; Greenberg, Mark T.; Segalowitz, Sidney J. – Developmental Psychology, 2015
Learning-related behaviors are important for school success. Socioeconomic disadvantage confers risk for less adaptive learning-related behaviors at school entry, yet substantial variability in school readiness exists within socioeconomically disadvantaged populations. Investigation of neurophysiological systems associated with learning-related…
Descriptors: Attention, Learning Processes, Academic Achievement, Neurology
Oberauer, Klaus; Sub, Heinz-Martin; Wilhelm, Oliver; Wittmann, Werner W. – Intelligence, 2008
Investigates the relationship between three factors of working memory (storage and processing, relational integration, and supervision) and four factors of intelligence (reasoning, speed, memory, and creativity) using structural equation models. Relational integration predicted reasoning ability at least as well as the storage-and-processing…
Descriptors: Theories, Prediction, Intelligence, Structural Equation Models
Reeve, Charlie L.; Bonaccio, Silvia – Intelligence, 2008
Although test anxiety is typically negatively related to performance on cognitive ability tests, little research has systematically investigated whether differences in test anxiety result in measurement bias on cognitive ability tests. The current paper uses a structural equation modeling technique to explicitly test for measurement bias due to…
Descriptors: Structural Equation Models, Test Anxiety, Cognitive Ability, Bias
Geiser, Christian; Lehmann, Wolfgang; Eid, Michael – Intelligence, 2008
A large number of studies have reported average performance differences in favor of males in mental rotation tasks. However, it is still unclear to what extent the magnitude of the sex differences varies across age, and whether the differences increase with age. In this study, we reanalyzed data from a cross-sectional investigation of N = 1624…
Descriptors: Gender Differences, Males, Intelligence, Age Differences
Keith, Timothy Z.; Reynolds, Matthew R.; Patel, Puja G.; Ridley, Kristen P. – Intelligence, 2008
Sex differences in the latent general and broad cognitive abilities underlying the Woodcock-Johnson Tests of Cognitive Abilities were investigated for children, youth, and adults ages 6 through 59. A developmental, multiple indicator-multiple cause, structural equation model was used to investigate sex differences in latent cognitive abilities as…
Descriptors: Females, Males, Cognitive Ability, Structural Equation Models
Buhner, Markus; Kroner, Stephan; Ziegler, Matthias – Intelligence, 2008
The relationship between working memory, intelligence and problem-solving is explored. Wittmann and Suss [Wittmann, W.W., & Suss, H.M. (1999). Investigating the paths between working memory, intelligence, knowledge, and complex problem-solving performances via Brunswik symmetry. In P.L. Ackerman, R.D. Roberts (Ed.), "Learning and individual…
Descriptors: Undergraduate Students, Intelligence, Problem Solving, Short Term Memory
Bonaccio, Silvia; Reeve, Charlie L. – Intelligence, 2006
This paper investigates the differentiation of cognitive abilities as a function of neuroticism. Specifically, we examine Eysenck and White's [Eysenck, H. J., and White, P. O. (1964). Personality and the measurement of intelligence. British Journal of Educational Psychology, 24, 197-201.] hypothesis that cognitive abilities are less differentiated…
Descriptors: Cognitive Ability, Neurosis, Correlation, Personality Traits
Roach, Andrew T.; Elliott, Stephen N. – Educational Evaluation and Policy Analysis, 2006
The primary purpose of this investigation was to understand the influence of access to the general curriculum on the performance of students with significant cognitive disabilities, as measured by the Wisconsin Alternate Assessment (WAA) for Students with Disabilities. Special education teachers (N=113) submitted case materials for students with…
Descriptors: General Education, Structural Equation Models, Rating Scales, Alternative Assessment