Results 1 to 10 of about 38,423 (231)
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 ...
Harold Doran +3 more
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Script concordance test issues, the trail of expert calibration [PDF]
Background The Script Concordance Test (SCT) is an assessment tool for clinical reasoning that incorporates uncertainty and depends on expert judgment to identify valid responses.
Yannick Perdrix +2 more
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A Revised Mixed-Approach Rubric for the Quality of Academic Posters [PDF]
The quality of posters at pharmacy conferences can vary. We created a mixed-approach rubric (MAR) for poster quality. Evidence from multiple sources (systematic review, further analysis of rater scores, verbal feedback from raters) showed the need to ...
Michael J. Peeters +2 more
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plink: An R Package for Linking Mixed-Format Tests Using IRT-Based Methods [PDF]
The R package plink has been developed to facilitate the linking of mixed-format tests for multiple groups under a common item design using unidimensional and multidimensional IRT-based methods.
Jonathan P. Weeks
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Normative Data for Learning and Memory Test (TAMV-I) in Latin American and Spanish Children: An item response theory and linear mixed models approach. [PDF]
Robust normative data for pediatric learning and memory tests in Spanish-speaking populations are scarce, and existing approaches often rely on univariate methods that overlook item-level properties and inter-trial dependencies.
Eliana María Fuentes Mendoza +11 more
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BackgroundIn China, there is limited research on digital health literacy (DHL) among patients with stroke. This is mainly due to the lack of validated tools, which hinders the precision and sustainability of our country’s digital ...
Qin Ye +6 more
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Diagnostic classification models (DCMs) are statistical models with discrete latent variables (so-called skills) to analyze multiple binary variables (i.e., items).
Alexander Robitzsch
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Studies aiming to make cross-cultural comparisons first should establish measurement invariance in the groups to be compared because results obtained from such comparisons may be artificial in the event that measurement invariance cannot be established ...
Esra Oyar, Zafer Ertürk
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This research aims to analyze the importance of scientific work skills in aviation vocational education in Indonesia using the Rasch Model. This research applies a mixed research methodology.
Fitri Masito +5 more
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English-Assisted Teaching Evaluation System Based on Artificial Intelligence and Rasch Model
In order to improve the effect of English teaching in colleges and universities, this paper analyzes the English teaching process and combines the English teaching evaluation system and the Rasch model to construct an English teaching evaluation system ...
Erying Guo, Li Sun
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