Author, as appears in the article.: Ferrando, Pere J; Lorenzo-Seva, Urbano
Department: Psicologia
URV's Author/s: Ferrando Piera, Pere Joan / Lorenzo Seva, Urbano
Keywords: Scores
Abstract: This note is about Bayes EAP scoring in the class of oblique linear and non-linear item response models that can be parameterized as factor analytic models. For these models, we propose an improved implementation approach that (a) provides more detailed and informative output, and (b) uses more prior information from the calibration stage. Overall, we discuss the limitations of EAP estimation as it is implemented in most available programs, provide a technical account of the basic methodology and proposed improvements, implement the proposal in the freely available FACTOR program, and illustrate how it works with FACTOR-based output.
Thematic Areas: Statistics and probability Psychology, experimental Psychology (miscellaneous) Psicología Experimental and cognitive psychology Developmental and educational psychology Ciencias sociales Ciencias humanas Arts and humanities (miscellaneous)
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: urbano.lorenzo@urv.cat perejoan.ferrando@urv.cat
Author identifier: 0000-0001-5369-3099 0000-0002-3133-5466
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/acceptedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Psicologica. 37 (2): 235-247
APA: Ferrando, Pere J; Lorenzo-Seva, Urbano (2016). A note on improving EAP trait estimation in oblique factor-analytic and item response theory models. Psicologica, 37(2), 235-247
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
Publication Type: Journal Publications
Repositori URV