Cargando…
Using IRTree Models to Promote Selection Validity in the Presence of Extreme Response Styles
The measurement of psychological constructs is frequently based on self-report tests, which often have Likert-type items rated from “Strongly Disagree” to “Strongly Agree”. Recently, a family of item response theory (IRT) models called IRTree models have emerged that can parse out content traits (e....
Autores principales: | Quirk, Victoria L., Kern, Justin L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672242/ https://www.ncbi.nlm.nih.gov/pubmed/37998715 http://dx.doi.org/10.3390/jintelligence11110216 |
Ejemplares similares
-
Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes
por: Merhof, Viola, et al.
Publicado: (2023) -
Item-Specific Factors in IRTree Models: When They Matter and When They Don’t
por: Meiser, Thorsten, et al.
Publicado: (2023) -
A Stan tutorial on Bayesian IRTree models: Conventional models and explanatory extension
por: Xue, Mingfeng, et al.
Publicado: (2023) -
A Monte Carlo study of IRTree models’ ability to recover item parameters
por: Alarcon, Gene M., et al.
Publicado: (2023) -
Validity of Three IRT Models for Measuring and Controlling Extreme and Midpoint Response Styles
por: Zhang, Yingbin, et al.
Publicado: (2020)