Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire

Autores
Freiberg Hoffmann, Agustín; Motta, Florencia Anabel; Bernardo, Ana B.; Vigh, Carlos Donato
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The current high rate of academic dropout in the university system necessitates early identification of first-year students' intentions to drop out to detect potential risk cases. This paper reports a linguistic adaptation of the revised version of the Early University Dropout Intentions Questionnaire (EUDIQ-R) and an analysis of its psychometric properties in an Argentine population. Participants were 747 first-year university students from Argentina. The instrument was adapted to the local idiom. The internal three-factor structure of the EUDIQ-R was then verified through confirmatory factor analysis. The internal consistency was adequate. Factorial invariance analysis verified the metric equivalence of the instrument's structure between samples of students from Argentina and Spain. Finally, evidence of concurrent validity was obtained using an instrument that assesses academic engagement. This study provides adequate evidence of the validity and reliability of the EUDIQ-R, which can be used to identify early dropout intentions in first-year university students.
Fil: Freiberg Hoffmann, Agustín. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Motta, Florencia Anabel. Universidad de Buenos Aires; Argentina
Fil: Bernardo, Ana B.. Universidad de Oviedo; España
Fil: Vigh, Carlos Donato. Universidad Nacional de General Sarmiento; Argentina
Materia
ACADEMIC DROPOUT
EUDIQ-R
PSYCHOMETRIC PROPERTIES
UNIVERSITY STUDENTS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/285305

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network_name_str CONICET Digital (CONICET)
spelling Analyzing the psychometric properties of the revised Early University Leaving Intention QuestionnaireFreiberg Hoffmann, AgustínMotta, Florencia AnabelBernardo, Ana B.Vigh, Carlos DonatoACADEMIC DROPOUTEUDIQ-RPSYCHOMETRIC PROPERTIESUNIVERSITY STUDENTShttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5The current high rate of academic dropout in the university system necessitates early identification of first-year students' intentions to drop out to detect potential risk cases. This paper reports a linguistic adaptation of the revised version of the Early University Dropout Intentions Questionnaire (EUDIQ-R) and an analysis of its psychometric properties in an Argentine population. Participants were 747 first-year university students from Argentina. The instrument was adapted to the local idiom. The internal three-factor structure of the EUDIQ-R was then verified through confirmatory factor analysis. The internal consistency was adequate. Factorial invariance analysis verified the metric equivalence of the instrument's structure between samples of students from Argentina and Spain. Finally, evidence of concurrent validity was obtained using an instrument that assesses academic engagement. This study provides adequate evidence of the validity and reliability of the EUDIQ-R, which can be used to identify early dropout intentions in first-year university students.Fil: Freiberg Hoffmann, Agustín. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Motta, Florencia Anabel. Universidad de Buenos Aires; ArgentinaFil: Bernardo, Ana B.. Universidad de Oviedo; EspañaFil: Vigh, Carlos Donato. Universidad Nacional de General Sarmiento; ArgentinaPsychOpen2026-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/285305Freiberg Hoffmann, Agustín; Motta, Florencia Anabel; Bernardo, Ana B.; Vigh, Carlos Donato; Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire; PsychOpen; Measurement Instruments for the Social Sciences; 8; 1-2026; 2-162523-8930CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://miss.psychopen.eu/index.php/miss/article/view/20545info:eu-repo/semantics/altIdentifier/doi/10.5964/miss.20545info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:35:19Zoai:ri.conicet.gov.ar:11336/285305instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 14:35:19.338CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire
title Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire
spellingShingle Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire
Freiberg Hoffmann, Agustín
ACADEMIC DROPOUT
EUDIQ-R
PSYCHOMETRIC PROPERTIES
UNIVERSITY STUDENTS
title_short Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire
title_full Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire
title_fullStr Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire
title_full_unstemmed Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire
title_sort Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire
dc.creator.none.fl_str_mv Freiberg Hoffmann, Agustín
Motta, Florencia Anabel
Bernardo, Ana B.
Vigh, Carlos Donato
author Freiberg Hoffmann, Agustín
author_facet Freiberg Hoffmann, Agustín
Motta, Florencia Anabel
Bernardo, Ana B.
Vigh, Carlos Donato
author_role author
author2 Motta, Florencia Anabel
Bernardo, Ana B.
Vigh, Carlos Donato
author2_role author
author
author
dc.subject.none.fl_str_mv ACADEMIC DROPOUT
EUDIQ-R
PSYCHOMETRIC PROPERTIES
UNIVERSITY STUDENTS
topic ACADEMIC DROPOUT
EUDIQ-R
PSYCHOMETRIC PROPERTIES
UNIVERSITY STUDENTS
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The current high rate of academic dropout in the university system necessitates early identification of first-year students' intentions to drop out to detect potential risk cases. This paper reports a linguistic adaptation of the revised version of the Early University Dropout Intentions Questionnaire (EUDIQ-R) and an analysis of its psychometric properties in an Argentine population. Participants were 747 first-year university students from Argentina. The instrument was adapted to the local idiom. The internal three-factor structure of the EUDIQ-R was then verified through confirmatory factor analysis. The internal consistency was adequate. Factorial invariance analysis verified the metric equivalence of the instrument's structure between samples of students from Argentina and Spain. Finally, evidence of concurrent validity was obtained using an instrument that assesses academic engagement. This study provides adequate evidence of the validity and reliability of the EUDIQ-R, which can be used to identify early dropout intentions in first-year university students.
Fil: Freiberg Hoffmann, Agustín. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Motta, Florencia Anabel. Universidad de Buenos Aires; Argentina
Fil: Bernardo, Ana B.. Universidad de Oviedo; España
Fil: Vigh, Carlos Donato. Universidad Nacional de General Sarmiento; Argentina
description The current high rate of academic dropout in the university system necessitates early identification of first-year students' intentions to drop out to detect potential risk cases. This paper reports a linguistic adaptation of the revised version of the Early University Dropout Intentions Questionnaire (EUDIQ-R) and an analysis of its psychometric properties in an Argentine population. Participants were 747 first-year university students from Argentina. The instrument was adapted to the local idiom. The internal three-factor structure of the EUDIQ-R was then verified through confirmatory factor analysis. The internal consistency was adequate. Factorial invariance analysis verified the metric equivalence of the instrument's structure between samples of students from Argentina and Spain. Finally, evidence of concurrent validity was obtained using an instrument that assesses academic engagement. This study provides adequate evidence of the validity and reliability of the EUDIQ-R, which can be used to identify early dropout intentions in first-year university students.
publishDate 2026
dc.date.none.fl_str_mv 2026-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/285305
Freiberg Hoffmann, Agustín; Motta, Florencia Anabel; Bernardo, Ana B.; Vigh, Carlos Donato; Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire; PsychOpen; Measurement Instruments for the Social Sciences; 8; 1-2026; 2-16
2523-8930
CONICET Digital
CONICET
url http://hdl.handle.net/11336/285305
identifier_str_mv Freiberg Hoffmann, Agustín; Motta, Florencia Anabel; Bernardo, Ana B.; Vigh, Carlos Donato; Analyzing the psychometric properties of the revised Early University Leaving Intention Questionnaire; PsychOpen; Measurement Instruments for the Social Sciences; 8; 1-2026; 2-16
2523-8930
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://miss.psychopen.eu/index.php/miss/article/view/20545
info:eu-repo/semantics/altIdentifier/doi/10.5964/miss.20545
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv PsychOpen
publisher.none.fl_str_mv PsychOpen
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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