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Karadavut, Tugba; Cohen, Allan S.; Kim, Seock-Ho – Measurement: Interdisciplinary Research and Perspectives, 2020
Mixture Rasch (MixRasch) models conventionally assume normal distributions for latent ability. Previous research has shown that the assumption of normality is often unmet in educational and psychological measurement. When normality is assumed, asymmetry in the actual latent ability distribution has been shown to result in extraction of spurious…
Descriptors: Item Response Theory, Ability, Statistical Distributions, Sample Size
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Pendergast, Laura L.; Schaefer, Barbara A.; Murray-Kolb, Laura E.; Svensen, Erling; Shrestha, Rita; Rasheed, Muneera A.; Scharf, Rebecca J.; Kosek, Margaret; Vasquez, Angel Orbe; Maphula, Angelina; Costa, Hilda; Rasmussen, Zeba A.; Yousafzai, Aisha; Tofail, Fahmida; Seidman, Jessica C. – School Psychology Quarterly, 2018
The Bayley's Scales of Infant and Toddler Development-Third Edition (Bayley-III) were used to measure the development of 24-month-old children (N = 1,452) in the Interactions of Malnutrition and Enteric Infections: Consequences for Child Health and Development (MAL-ED) study (an international, multisite study on many aspects of child development).…
Descriptors: Infants, Child Development, Toddlers, Cross Cultural Studies
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Debeer, Dries; Buchholz, Janine; Hartig, Johannes; Janssen, Rianne – Journal of Educational and Behavioral Statistics, 2014
In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from the 2009 Program of International Student Achievement…
Descriptors: Reading Tests, International Programs, Testing Programs, Individual Differences
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Bolfarine, Heleno; Bazan, Jorge Luis – Journal of Educational and Behavioral Statistics, 2010
A Bayesian inference approach using Markov Chain Monte Carlo (MCMC) is developed for the logistic positive exponent (LPE) model proposed by Samejima and for a new skewed Logistic Item Response Theory (IRT) model, named Reflection LPE model. Both models lead to asymmetric item characteristic curves (ICC) and can be appropriate because a symmetric…
Descriptors: Markov Processes, Item Response Theory, Bayesian Statistics, Monte Carlo Methods