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Direct linkKazuhiro 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
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
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
