Results 111 to 120 of about 22,056,704 (287)
Abstract Background Numerous studies have demonstrated the importance of academic emotions for learning, with boredom attracting significant attention due to its frequent occurrence in school life and the increasing evidence of its negative effects on academic results and motivation. Aims Building on Schwartze et al. (2024), this study examined whether
Jelena Radišić +6 more
wiley +1 more source
Assessing Educational Instrument Validity-Reliability and Student Performance: Rasch Model Insights
This study aims to assess the validity-reliability and student performance. A cross-sectional research design with a quantitative method was employed in this study.
Mohd Zaidi Amiruddin
doaj +1 more source
Writing Rasch Analysis at a Glance
One of tenets in education is learning assessment. Assessment is fundamentally the act of using questions to reveal the extent to which teachers are changing students’ academic performance through learning. Unfortunately, assessment is a necessary task but complicated. Without a carefully developed measurement instrument that captures the indicators of
openaire +1 more source
Estimating the Multilevel Rasch Model: With the lme4 Package [PDF]
Traditional Rasch estimation of the item and student parameters via marginal maximum likelihood, joint maximum likelihood or conditional maximum likelihood, assume individuals in clustered settings are uncorrelated and items within a test that share a ...
Maritza Dowling +3 more
core
Abstract Given the increasing integration of Artificial Intelligence (AI) into everyday life and professional contexts, it is essential to investigate learners' existing capabilities regarding AI tools to inform possible interventions to equip them with necessary AI skills, but also advance the theoretical frameworks on digital skills measurement and ...
Christian Scheibenzuber +4 more
wiley +1 more source
IRT‐based response style models and related methodology: Review and commentary
Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley +1 more source
A new method for detecting differential item functioning in the Rasch model [PDF]
Differential item functioning (DIF) can lead to an unfair advantage or disadvantage for certain subgroups in educational and psychological testing. Therefore, a variety of statistical methods has been suggested for detecting DIF in the Rasch model.
Carolin Strobl +2 more
core
Data used for the RUMM2030 Rasch analysis of the scale: Multidimensional Assessment of Interoceptive Awareness (MAIA)This datafile is connected to a planned manuscript submission for the journal PLOS ONE.
Blackwood, Jena +3 more
core +1 more source
Reliability measures in knowledge structure theory
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
Differential item functioning detection across multiple groups
Abstract Differential item functioning (DIF) can be investigated by estimating item response theory (IRT) parameters separately for different respondent groups, thus allowing for the detection of discrepancies in parameter estimates across groups. However, before comparing the estimates, it is necessary to convert them to a common metric due to the ...
Michela Battauz
wiley +1 more source

