Results 11 to 20 of about 1,095 (171)

Flexible Rasch Mixture Models with Packagepsychomix [PDF]

open access: yesJournal of Statistical Software, 2012
Measurement invariance is an important assumption in the Rasch model and mixture models constitute a flexible way of checking for a violation of this assumption by detecting unobserved heterogeneity in item response data. Here, a general class of Rasch mixture models is established and implemented in R, using conditional maximum likelihood esti- mation
Frick, Hannah   +3 more
core   +12 more sources

Model Selection for Multilevel Mixture Rasch Models [PDF]

open access: yesApplied Psychological Measurement, 2018
Mixture item response theory (MixIRT) models can sometimes be used to model the heterogeneity among the individuals from different subpopulations, but these models do not account for the multilevel structure that is common in educational and psychological data.
Sedat Sen, Allan S. Cohen, Seock-Ho Kim
openaire   +4 more sources

Rasch Mixture Models for DIF Detection [PDF]

open access: yesEducational and Psychological Measurement, 2014
Rasch mixture models can be a useful tool when checking the assumption of measurement invariance for a single Rasch model. They provide advantages compared to manifest differential item functioning (DIF) tests when the DIF groups are only weakly correlated with the manifest covariates available.
Frick, Hannah   +2 more
openaire   +8 more sources

Contingency table for agreement between the bookmark procedure (BM) and constrained Mixture Rasch Model (cMRM). [PDF]

open access: yes, 2021
Contingency table for agreement between the bookmark procedure (BM) and constrained Mixture Rasch Model (cMRM).
Tabea Feseker (11767195)   +2 more
core   +1 more source

Rational numbers and proportional reasoning in Chinese primary schools: Patterns, latent classes, and reasoning processes

open access: yesAsian Journal for Mathematics Education, 2022
Rational numbers and proportional reasoning are challenging topics in school mathematics. Though much research has been conducted, the learning of these topics is rarely explored among learners taught by expert teachers.
Zhenzhen Miao   +3 more
doaj   +1 more source

A Mixture Rasch Model Analysis of Mathematics Achievement

open access: yesKastamonu Eğitim Dergisi, 2023
Purpose: This study aims to determine distinct latent classes in 8th-grade students' mathematics achievement Design: The research study group consisted of 435 students who received the first booklet at the TIMSS 2015 8th grade mathematics achievement test. A mixture of Rasch model analysis was used to find the best-fitting model. Findings:
YILDIRIM HOŞ, Halime   +1 more
openaire   +2 more sources

Analysing Effects of Birth Order on Intelligence, Educational Attainment, Big Five, and Risk Aversion in an Indonesian Sample

open access: yesEuropean Journal of Personality, EarlyView., 2020
Abstract Few studies have examined birth order effects on personality in countries that are not Western, educated, industrialized, rich, and democratic (WEIRD). However, theories have generally suggested that interculturally universal family dynamics are the mechanism behind birth order effects, and prominent theories such as resource dilution would ...
Laura J. Botzet   +2 more
wiley   +1 more source

Contingency table for agreement between the bookmark procedure (BM) and constrained Mixture Rasch Model (cMRM) in different samples. [PDF]

open access: yes, 2021
Contingency table for agreement between the bookmark procedure (BM) and constrained Mixture Rasch Model (cMRM) in different samples.
Tabea Feseker (11767195)   +2 more
core   +1 more source

Measures for agreement between the bookmark procedure (BM) and constrained Mixture Rasch Model (cMRM) in different samples. [PDF]

open access: yes, 2021
Measures for agreement between the bookmark procedure (BM) and constrained Mixture Rasch Model (cMRM) in different samples.
Tabea Feseker (11767195)   +2 more
core   +1 more source

Strong Gaussian approximation of the mixture Rasch model [PDF]

open access: yesBernoulli, 2019
We consider the famous Rasch model, which is applied to psychometric surveys when n persons under test answer m questions. The score is given by a realization of a random binary (n,m)-matrix. Its (j,k)th component indicates whether or not the answer of the jth person to the kth question is correct.
Liese, Friedrich   +2 more
openaire   +3 more sources

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