Results 111 to 120 of about 1,020 (161)
A Relation Between a Between-Item Multidimensional IRT Model and the Mixture Rasch Model
Psychometrika, 2005 Two generalizations of the Rasch model are compared: the between-item multidimensional model (Adams, Wilson, and Wang, 1997), and the mixture Rasch model (Mislevy & Verhelst, 1990; Rost, 1990). It is shown that the between-item multidimensional model is formally equivalent with a continuous mixture of Rasch models for which, within each class of ...
Frank Rijmen, Paul De Boeck
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Measuring Middle Grades Teachers' Understanding of Rational Numbers with the Mixture Rasch Model
The Elementary School Journal, 2010 Abstract We report the development of a multiple-choice instrument that measures the mathematical knowledge needed for teaching arithmetic with fractions, decimals, and proportions. In particular, the instrument emphasizes the knowledge needed to reason about such arithmetic when numbers are embedded in problem situations.
Andrew Izsák +3 more
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The Impact of Various Class-Distinction Features on Model Selection in the Mixture Rasch Model
The Journal of Experimental Education, 2016 ABSTRACTThe purpose of the current study is to examine the performance of four information criteria (Akaike's information criterion [AIC], corrected AIC [AICC] Bayesian information criterion [BIC], sample-size adjusted BIC [SABIC]) for detecting the correct number of latent classes in the mixture Rasch model through simulations.
Inhee Choi, Insu Paek, Sun‐Joo Cho
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Multivariate and Mixture Distribution Rasch Models
, 2007 Matthias von Davier, Claus H. Carstensen
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An Application of a Structured Mixture Rasch Model to Computer Adaptive Data (Poster 4)
AERA 2022, 2022 Meredith Langi
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Spurious Latent Classes in the Mixture Rasch Model
Journal of Educational Measurement, 2011 Natalia Alexeev +2 more
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Applying a Mixture Rasch Model‐Based Approach to Standard Setting
Educational Measurement: Issues and Practice, 2023AbstractThe subjective aspect of standard‐setting is often criticized, yet data‐driven standard‐setting methods are rarely applied. Therefore, we applied a mixture Rasch model approach to setting performance standards across several testing programs of various sizes and compared the results to existing passing standards derived from traditional ...
Michael R. Peabody +2 more
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Mixture Distribution Rasch Models
1995This chapter deals with the generalization of the Rasch model to a discrete mixture distribution model. Its basic assumption is that the Rasch model holds within subpopulations of individuals, but with different parameter values in each subgroup. These subpopulations are not defined by manifest indicators, rather they have to be identified by applying ...
Jürgen Rost, Matthias von Davier
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Analyzing Job Analysis Data Using Mixture Rasch Models
International Journal of Testing, 2018An important piece of validity evidence to support the use of credentialing exams comes from performing a job analysis of the profession.
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