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Huang, Hung-Yu; Wang, Wen-Chung; Chen, Po-Hsi; Su, Chi-Ming – Applied Psychological Measurement, 2013
Many latent traits in the human sciences have a hierarchical structure. This study aimed to develop a new class of higher order item response theory models for hierarchical latent traits that are flexible in accommodating both dichotomous and polytomous items, to estimate both item and person parameters jointly, to allow users to specify…
Descriptors: Item Response Theory, Models, Vertical Organization, Bayesian Statistics
Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Computation, Test Reliability
Wang, Wen-Chung; Cheng, Ying-Yao; Wilson, Mark – Educational and Psychological Measurement, 2005
A parallel design, in which items across different scales within an instrument share common stimuli and subjects respond to the common stimulus for each scale, is sometimes used in questionnaires or inventories. Because the items across scales share the same stimuli, the assumption of local item independence may not hold, thereby violating the…
Descriptors: Stimuli, Psychometrics, Test Items, Item Response Theory
Chen, Hsueh-Chu; Wang, Wen-Chung – 1999
Fifty core tasks that are generally performed by and important for secondary school beginning teachers are identified. Participants (n=297) were asked to judge the importance of each task. College students (n=476) were asked how confident they would be in doing these tasks as if they were beginning teachers. Rasch technique was used to scale the…
Descriptors: Beginning Teachers, College Students, Curriculum, Foreign Countries