Results 131 to 140 of about 1,095 (171)

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 Peabody
exaly   +2 more sources

Mixture Rasch Models With Joint Maximum Likelihood Estimation [PDF]

Educational and Psychological Measurement, 2010
This research provides a demonstration of the utility of mixture Rasch models. Specifically, a model capable of estimating a mixture partial credit model using joint maximum likelihood is presented. Like the partial credit model, the mixture partial credit model has the beneficial feature of being appropriate for analysis of assessment data containing ...
John T. Willse
openaire   +2 more sources

Estimation of Mixture Rasch Models from Skewed Latent Ability Distributions

Measurement, 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...
Seock-Ho Kim, Tugba Karadavut, Allan Cohen   +2 more
exaly   +2 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
exaly   +2 more sources

A Mixture Rasch Model With Item Response Time Components [PDF]

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 ...
J. Patrick Meyer
openaire   +2 more sources

A Mixture Rasch Model–Based Computerized Adaptive Test for Latent Class Identification

Applied Psychological Measurement, 2012
This study explored a computerized adaptive test delivery algorithm for latent class identification based on the mixture Rasch model. Four item selection methods based on the Kullback–Leibler (KL) information were proposed and compared with the reversed and the adaptive KL information under simulated testing conditions.
Hong Jiao
exaly   +2 more sources

DIFFERENT APPROACHES TO COVARIATE INCLUSION IN THE MIXTURE RASCH MODEL [PDF]

, 2014
The present dissertation project investigates different approaches to adding covariates and the impact in fitting mixture item response theory (IRT) models. Mixture IRT models serve as an important methodology for tackling several important psychometric issues in test development, including detecting latent differential item functioning (DIF).
Li, Tongyun
openaire   +4 more sources

Latent Change in Discrete Data: Unidimensional, Multidimensional, and Mixture Distribution Rasch Models for the Analysis of Repeated Observations [PDF]

, 1998
A survey of unidimensional, multidimensional, and mixture distribution Rasch models is presented with a particular focus on model applications for the analysis of change in repeated measures designs. A mover-stayer mixed Rasch model is specified for modeling global change in one of two latent subpopulations and for modeling stability in the other ...
Meiser, T., Stern, E., Langeheine, R.
openaire   +4 more sources

Spurious Latent Classes in the Mixture Rasch Model

Journal of Educational Measurement, 2011
Jonathan Templin, Allan Cohen
exaly   +2 more sources

A mixture Rasch facets model for rater’s illusory halo effects

Behavior Research Methods, 2022
A rater's overall impression of a ratee's essay (or other assessment) can influence ratings on multiple criteria to yield excessively similar ratings (halo effect). However, existing analytic methods fail to identify whether similar ratings stem from homogeneous criteria (true halo) or rater bias (illusory halo).
Kuan-Yu Jin, Ming Ming Chiu
openaire   +2 more sources