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Luo, Yong; Jiao, Hong – Educational and Psychological Measurement, 2018
Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the…
Descriptors: Bayesian Statistics, Item Response Theory, Probability, Computer Software
Wang, Shudong; Jiao, Hong – Educational and Psychological Measurement, 2009
In practice, vertical scales have been continually used to measure students' achievement progress across several grade levels and have been considered very challenging psychometric procedures. Recently, such practices have been drawing many criticisms. The major criticisms focus on dimensionality and construct equivalence of the latent trait or…
Descriptors: Reading Comprehension, Elementary Secondary Education, Measures (Individuals), Psychometrics
Wang, Shudong; Jiao, Hong; Young, Michael J.; Brooks, Thomas; Olson, John – Educational and Psychological Measurement, 2008
In recent years, computer-based testing (CBT) has grown in popularity, is increasingly being implemented across the United States, and will likely become the primary mode for delivering tests in the future. Although CBT offers many advantages over traditional paper-and-pencil testing, assessment experts, researchers, practitioners, and users have…
Descriptors: Elementary Secondary Education, Reading Achievement, Computer Assisted Testing, Comparative Analysis