A Rasch Model and Rating System for Continuous Responses Collected in Large-Scale Learning Systems
An extension to a rating system for tracking the evolution of parameters over time using continuous variables is introduced. The proposed rating system assumes a distribution for the continuous responses, which is agnostic to the origin of the continuous scores and thus can be used for applications...
Main Authors: | Benjamin Deonovic, Maria Bolsinova, Timo Bechger, Gunter Maris |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-12-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2020.500039/full |
Similar Items
-
A scoping review of Rasch analysis and item response theory in otolaryngology: Implications and future possibilities
by: David T. Liu, et al.
Published: (2024-02-01) -
Can IRT solve the missing data problem in test equating?
by: Maria eBolsinova, et al.
Published: (2016-01-01) -
pcIRT: An R Package for Polytomous and Continuous Rasch Models
by: Christine Hohensinn
Published: (2018-04-01) -
Measuring Mindfulness: A Rasch Analysis of the Freiburg Mindfulness Inventory
by: Siobhan Lynch, et al.
Published: (2011-12-01) -
The Rusch model-based knowledge assessment algorithm
by: Alexander A. Kostikov, et al.
Published: (2022-06-01)