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: Arts and humanities (miscellaneous) Ciencias humanas Ciencias sociales Developmental and educational psychology Experimental and cognitive psychology Psicología Psychology (miscellaneous) Psychology, experimental Statistics and probability
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: 2023-02-19
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://dialnet.unirioja.es/servlet/articulo?codigo=5807806
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
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
Publication Type: Journal Publications