Results 1 to 10 of about 4,160 (221)

Relating the One-Parameter Logistic Diagnostic Classification Model to the Rasch Model and One-Parameter Logistic Mixed, Partial, and Probabilistic Membership Diagnostic Classification Models

open access: yesFoundations, 2023
Diagnostic classification models (DCMs) are statistical models with discrete latent variables (so-called skills) to analyze multiple binary variables (i.e., items).
Alexander Robitzsch
doaj   +4 more sources

Analyzing differential item functioning of the Nottingham Health Profile by Mixed Rasch Model. [PDF]

open access: yesTurk J Phys Med Rehabil, 2018
This study aims to evaluate whether items in the Turkish version of the Nottingham Health Profile (NHP) function differently according to age, sex, and duration of pain using the Mixed Rasch Model (MRM).The NHP data of patients with low back pain from a previous study was analyzed.
Yüksel S   +4 more
europepmc   +6 more sources

Approximate estimation in generalized linear mixed models with applications to the Rasch model

open access: yesComputers and Mathematics With Applications, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M Mesbah
exaly   +5 more sources

A mixed Rasch model analysis of multiple profiles in L2 writing

open access: yesAssessing Writing, 2023
Assessing writing ...
Mohammad Nabi Karimi   +2 more
exaly   +3 more sources

Script concordance test issues, the trail of expert calibration [PDF]

open access: yesBMC Medical Education
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
doaj   +2 more sources

Statistical Inference for the Multidimensional Mixed Rasch Model [PDF]

open access: yesCommunications in Statistics Part B: Simulation and Computation, 2008
Inference in generalized linear mixed models with multivariate random effects is often made cumbersome by the high-dimensional intractable integrals involved in the marginal likelihood. This article presents an inferential methodology based on the GEE approach.
exaly   +2 more sources

Analysis of Mixed English Teaching Model based on Rasch Model and Construction of DE-FAHP-based Comprehensive Weight Quantization Model

open access: yesApplied Artificial Intelligence, 2023
The development of information-based management education necessitates English teachers to utilize a combination of online and offline educational resources.
Na Peng
doaj   +2 more sources

A Revised Mixed-Approach Rubric for the Quality of Academic Posters [PDF]

open access: yesPharmacy
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
doaj   +2 more sources

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]

open access: yesPLoS ONE
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
doaj   +2 more sources

Examining the Measurement Invariance of TIMSS 2015 Mathematics Liking Scale through Different Methods

open access: yesInternational Journal of Assessment Tools in Education, 2021
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
doaj   +1 more source

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