Results 101 to 110 of about 1,020 (161)
Conditional Dependence across Slow and Fast Item Responses: With a Latent Space Item Response Modeling Approach. [PDF]
J IntellKim N, Jeon M, Partchev I.
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Linking essay-writing tests using many-facet models and neural automated essay scoring. [PDF]
Behav Res MethodsUto M, Aramaki K.
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Mixture Rasch model for guessing group identification
AIP Conference Proceedings, 2013 Several alternative dichotomous Item Response Theory (IRT) models have been introduced to account for guessing effect in multiple-choice assessment. The guessing effect in these models has been considered to be itemrelated. In the most classic case, pseudo-guessing in the three-parameter logistic IRT model is modeled to be the same for all the subjects
Siow Hoo Leong +2 more
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A Mixture Rasch Model With a Covariate
Applied Psychological Measurement, 2013 Mixtures of item response theory (IRT) models have been proposed as a technique to explore response patterns in test data related to cognitive strategies, instructional sensitivity, and differential item functioning (DIF). Estimation proves challenging due to difficulties in identification and questions of effect size needed to recover underlying ...
Yunyun Dai
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Psychometrika, 2003 A normally distributed person-fit index is proposed for detecting aberrant response patterns in latent class models and mixture distribution IRT models for dichotomous and polytomous data.This article extends previous work on the null distribution of person-fit indices for the dichotomous Rasch model to a number of models for categorical data.
Matthias von Davier, Ivo W. Molenaar
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A Mixture Rasch Model With Item Response Time Components
Applied Psychological Measurement, 2010 An examinee faced with a test item will engage in solution behavior or rapid-guessing behavior. These qualitatively different test-taking behaviors bias parameter estimates for item response models that do not control for such behavior. A mixture Rasch model with item response time components was proposed and evaluated through application to real test
Joseph P. Meyer
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Estimation of Mixture Rasch Models from Skewed Latent Ability Distributions
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 psychol...
Tuğba Karadavut +2 more
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Mixture-Distribution and HYBRID Rasch Models
, 2007 This chapter provides an overview of mixture-distribution Rasch models (RMs) and HYBRID RMs and their extensions. Discrete mixture-distribution IRT models assume that the observed data were drawn from an unobservable mixture of populations. Within each of these populations, a different item response model may hold (HYBRID models), or models with ...
Matthias von Davier, Kentaro Yamamoto
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The Impact of Multidimensionality on Extraction of Latent Classes in Mixture Rasch Models
Journal of Educational Measurement, 2018 AbstractThis study investigates the effect of multidimensionality on extraction of latent classes in mixture Rasch models. In this study, two‐dimensional data were generated under varying conditions. The two‐dimensional data sets were analyzed with one‐ to five‐class mixture Rasch models. Results of the simulation study indicate the mixture Rasch model
Yoonsun Jang +2 more
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Multivariate and Mixture Distribution Rasch Models by von Davier & Carstensen
Applied Measurement in Education, 2008 The Rasch model may be seen as elegantly simple. Its simplicity comes from its characterizing an item in terms of a single parameter, the item's location on a continuum, and also locating the perso...
R. J. De Ayala
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