Results 141 to 150 of about 15,343 (193)

Preclinical development and clinical safety assessment of a synthetic peptide conjugate enabling endogenous antibody binding to promote innate receptor engagement. [PDF]

Mol Ther Oncol
Fletcher EAK, Cordfunke RA, Nasi A, Törnqvist G, Valentijn RRPM, Bergqvist A, Westhrin M, Rasch W, Lindqvist F, Dillmann I, Lord M, Bouwman N, Neefjes JJ, Franken KLMC, McArdle S, Ahmad M, Johansson S, Ossendorp F, Haggman M, Lampinen M, Ullenhag G, Ladjevardi S, Leja-Jarblad J, Lilleby W, Drijfhout JW, Mangsbo SM.   +25 more
europepmc   +1 more source

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
exaly   +4 more sources

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, Allan S. Cohen, Seock‐Ho Kim   +2 more
exaly   +4 more sources

A Person-Fit Index for Polytomous Rasch Models, Latent Class Models, and Their Mixture Generalizations

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
exaly   +4 more sources

Spurious Latent Classes in the Mixture Rasch Model

Journal of Educational Measurement, 2011
Natalia Alexeev, Jonathan Templin, Allan S. Cohen   +2 more
exaly   +4 more sources

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Applying a Mixture Rasch Model‐Based Approach to Standard Setting

Educational Measurement: Issues and Practice, 2023
AbstractThe 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, Timothy J. Muckle, Yu Meng   +2 more
openaire   +3 more sources

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
Hoo Leong Siow, Rasidah Mahdi, Eng Ling Siew   +2 more
openalex   +2 more sources

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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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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