Cargando…
Item-Weighted Likelihood Method for Measuring Growth in Longitudinal Study With Tests Composed of Both Dichotomous and Polytomous Items
In this paper, a new item-weighted scheme is proposed to assess examinees’ growth in longitudinal analysis. A multidimensional Rasch model for measuring learning and change (MRMLC) and its polytomous extension is used to fit the longitudinal item response data. In fact, the new item-weighted likelih...
Autores principales: | Xue, Xuemei, Lu, Jing, Zhang, Jiwei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353132/ https://www.ncbi.nlm.nih.gov/pubmed/34385940 http://dx.doi.org/10.3389/fpsyg.2021.580015 |
Ejemplares similares
-
Online Calibration of Polytomous Items Under the Graded Response Model
por: Xiong, Jianhua, et al.
Publicado: (2020) -
A Note on the Eigensystem of the Covariance Matrix of Dichotomous Guttman Items
por: Davis-Stober, Clintin P., et al.
Publicado: (2015) -
Sample Size Requirements for Applying Mixed Polytomous Item Response Models: Results of a Monte Carlo Simulation Study
por: Kutscher, Tanja, et al.
Publicado: (2019) -
Bayes Factors for Evaluating Latent
Monotonicity in Polytomous Item Response Theory Models
por: Tijmstra, Jesper, et al.
Publicado: (2019) -
A Polytomous Scoring Approach to Handle Not-Reached Items in Low-Stakes Assessments
por: Gorgun, Guher, et al.
Publicado: (2021)