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Kazuhiro Yamaguchi – Journal of Educational and Behavioral Statistics, 2025
This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…
Descriptors: Models, Classification, Bayesian Statistics, Evaluation Methods
Huang, Lan – ProQuest LLC, 2015
It is widely believed that subscores can give us more information about an examinee. Thus they can be useful in planning instructional and remedial efforts, or making vocational or academic placement decisions. However, past research has shown that subscores are often not as useful as hoped either because they do not have high reliability or…
Descriptors: Children, Intelligence Tests, Scores, Reliability
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
Siegel, Linda S. – International Journal for Research in Learning Disabilities, 2019
Dyslexia and other learning disabilities are not being properly recognized and treated in our educational system or society at large. Unrecognized and untreated learning disabilities represent a serious social and economic problem, not only to the individual but to society as a whole. For example, antisocial behavior, as seen in prison populations…
Descriptors: Dyslexia, Learning Disabilities, Disability Identification, Screening Tests
Cao, Thuy Hong; Jung, Jae Yup; Lee, Jihyun – Journal of Advanced Academics, 2017
Assessment is a crucial component of gifted education. Not only does it facilitate the recognition of the potential and specific needs of gifted students, it also monitors the progress and growth of gifted students, and allows for the evaluation of gifted education programs. In the present review, we synthesize the literature on assessment in…
Descriptors: Program Evaluation, Foreign Countries, Evaluation Methods, Talent
Kovalcíková, Iveta – Journal of Pedagogy, 2015
Having spent over two decades training teachers, Iveta Kovalcíková writes in this editorial that she has lately been attracted by ideas bridging the growing gap between neurological and psychological research findings and their practical application in practice. Here she argues that outcomes of research on learning processes are insufficiently…
Descriptors: Cognitive Ability, Intervention, Outcomes of Education, Educational Practices
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Oh Neill, Sam – Canadian Journal of Action Research, 2014
I have worked with students at-risk for the greater majority of my career. The term has a number of meanings. Officially, it means they are at-risk of failing, but often the risks are much greater. At one extreme they are at-risk of losing their lives to substance abuse or suicide. Less drastically they are at-risk of making their way through the…
Descriptors: At Risk Students, Interpersonal Competence, Student Needs, Student Development
Parkin, Jason R.; Beaujean, A. Alexander – Journal of School Psychology, 2012
This study used structural equation modeling to examine the effect of Stratum III (i.e., general intelligence) and Stratum II (i.e., Comprehension-Knowledge, Fluid Reasoning, Short-Term Memory, Processing Speed, and Visual Processing) factors of the Cattell-Horn-Carroll (CHC) cognitive abilities, as operationalized by the Wechsler Intelligence…
Descriptors: Intelligence, Structural Equation Models, Achievement Tests, Measures (Individuals)
Raykov, Tenko; Amemiya, Yasuo – Structural Equation Modeling: A Multidisciplinary Journal, 2008
A structural equation modeling method for examining time-invariance of variable specificity in longitudinal studies with multiple measures is outlined, which is developed within a confirmatory factor-analytic framework. The approach represents a likelihood ratio test for the hypothesis of stability in the specificity part of the residual term…
Descriptors: Structural Equation Models, Longitudinal Studies, Computation, Time
Kidd, Evan; Lum, Jarrad A. G. – Developmental Science, 2008
Hartshorne and Ullman (2006 ) presented naturalistic language data from 25 children (15 boys, 10 girls) and showed that girls produced more past tense overregularization errors than did boys. In particular, girls were more likely to overregularize irregular verbs whose stems share phonological similarities with regular verbs. It was argued that…
Descriptors: Females, Verbs, Gender Differences, Males
Coyle, Thomas R.; Pillow, David R. – Intelligence, 2008
This research examined whether the SAT and ACT would predict college grade point average (GPA) after removing g from the tests. SAT and ACT scores and freshman GPAs were obtained from a university sample (N=161) and the 1997 National Longitudinal Study of Youth (N=8984). Structural equation modeling was used to examine relationships among g, GPA,…
Descriptors: Intelligence, Grade Point Average, Structural Equation Models, Predictive Validity
Cohen, Arie; Fiorello, Catherine A.; Farley, Frank H. – Intelligence, 2006
A previous study on the underlying structure of the Wechsler intelligence test (WISC-R; [Wechsler, D. (1974). Manual WISC-R: Wechsler intelligence scale for children-Revised. New York: Psychological Corporation]), using smallest space analysis (SSA) [Guttman, L., and Levy, S. (1991). Two structural laws for intelligence tests.…
Descriptors: Intelligence, Intelligence Tests, Children, Models
Kush, Joseph C.; Watkins, Marley W. – Canadian Journal of School Psychology, 2007
Test bias research with Native American participants is uncommon, although individual tests of intelligence are often used with Native American students to determine eligibility for special education services. Only two studies with minimally adequate sample sizes have addressed the structural validity of major tests of intelligence in Native…
Descriptors: Test Bias, American Indians, School Psychologists, American Indian Education
Bowden, Stephen C.; Weiss, Lawrence G.; Holdnack, James A.; Lloyd, Delyth – Psychological Assessment, 2006
Examination of measurement invariance tests the assumption that the model underlying a set of test scores is directly comparable across groups. The observation of measurement invariance provides fundamental evidence for the inference that scores on a test afford equivalent measurement of the same psychological traits among diverse groups. Groups…
Descriptors: Intelligence, Factor Structure, Intelligence Tests, Age Differences
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