Author, as appears in the article.: Tosi, Jeremias David
Department: Psicologia
URV's Author/s: Ferrando Piera, Pere Joan
Keywords: Traitedness Reliability Personality measurement Person reliability Item response theory Item discrimination Item Factor analysis Discrimination
Abstract: Dual item response theory (IRT) models in which items and individuals have different amounts of measurement error have been proposed in the literature. Any developments in these models, however, are feasible only for continuous responses. This article discusses a comprehensive dual modeling approach, based on underlying latent response variables, from which specific models for continuous, graded, and binary responses are obtained. Procedures for (a) calibrating the items, (b) scoring individuals, (c) assessing model appropriateness, and (d) assessing measurement precision are discussed for all the resulting models. Simulation results suggest that the proposal is quite feasible. A practical illustration is given with an empirical example in the personality domain.
Thematic Areas: Social sciences, mathematical methods Social sciences (miscellaneous) Psychology, mathematical Psychology (miscellaneous) Psychology Psicología Engenharias i Ciencias sociales
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 01466216
Author's mail: perejoan.ferrando@urv.cat
Author identifier: 0000-0002-3133-5466
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://journals.sagepub.com/doi/abs/10.1177/0146621618817779
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Applied Psychological Measurement. 43 (5): 339-359
APA: Tosi, Jeremias David (2019). A Comprehensive IRT Approach for Modeling Binary, Graded, and Continuous Responses With Error in Persons and Items. Applied Psychological Measurement, 43(5), 339-359. DOI: 10.1177/0146621618817779
Article's DOI: 10.1177/0146621618817779
Entity: Universitat Rovira i Virgili
Journal publication year: 2019
Publication Type: Journal Publications