Constructing three emotion knowledge tests from the invariant measurement approach

Autores
Delgado, Ana R.; Prieto, Gerardo; Burin, Debora Ines
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background. Psychological constructionist models like the Conceptual Act Theory (CAT) postulate that complex states such as emotions are composed of basic psychological ingredients that are more clearly respected by the brain than basic emotions. The objective of this study was the construction and initial validation of Emotion Knowledge measures from the CAT frame by means of an invariant measurement approach, the Rasch Model (RM). Psychological distance theory was used to inform item generation. Methods. Three EK testsemotion vocabulary (EV), close emotional situations (CES) and far emotional situations (FES)were constructed and tested with the RM in a community sample of 100 females and 100 males (age range: 18-65), both separately and conjointly. Results. It was corroborated that data-RM fit was sufficient. Then, the effect of type of test and emotion on Rasch-modelled item difficulty was tested. Significant effects of emotion on EK item difficulty were found, but the only statistically significant difference was that between "happiness" and the remaining emotions; neither type of test, nor interaction effects on EK item difficulty were statistically significant. The testing of gender differences was carried out after corroborating that differential item functioning (DIF) would not be a plausible alternative hypothesis for the results. No statistically significant sex-related differences were found out in EV, CES, FES, or total EK. However, the sign of d indicate that female participants were consistently better than male ones, a result that will be of interest for future meta-analyses. Discussion. The three EK tests are ready to be used as components of a higher-level measurement process.
Fil: Delgado, Ana R.. Universidad de Salamanca; España
Fil: Prieto, Gerardo. Universidad de Salamanca; España
Fil: Burin, Debora Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; Argentina
Materia
EMOTION KNOWLEDGE
EMOTIONAL INTELLIGENCE
INVARIANT MEASUREMENT
PSYCHOLOGICAL CONSTRUCTIONISM
PSYCHOLOGICAL DISTANCE
RASCH MODEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/41102
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/41102
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Constructing three emotion knowledge tests from the invariant measurement approachDelgado, Ana R.Prieto, GerardoBurin, Debora InesEMOTION KNOWLEDGEEMOTIONAL INTELLIGENCEINVARIANT MEASUREMENTPSYCHOLOGICAL CONSTRUCTIONISMPSYCHOLOGICAL DISTANCERASCH MODELhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5Background. Psychological constructionist models like the Conceptual Act Theory (CAT) postulate that complex states such as emotions are composed of basic psychological ingredients that are more clearly respected by the brain than basic emotions. The objective of this study was the construction and initial validation of Emotion Knowledge measures from the CAT frame by means of an invariant measurement approach, the Rasch Model (RM). Psychological distance theory was used to inform item generation. Methods. Three EK testsemotion vocabulary (EV), close emotional situations (CES) and far emotional situations (FES)were constructed and tested with the RM in a community sample of 100 females and 100 males (age range: 18-65), both separately and conjointly. Results. It was corroborated that data-RM fit was sufficient. Then, the effect of type of test and emotion on Rasch-modelled item difficulty was tested. Significant effects of emotion on EK item difficulty were found, but the only statistically significant difference was that between "happiness" and the remaining emotions; neither type of test, nor interaction effects on EK item difficulty were statistically significant. The testing of gender differences was carried out after corroborating that differential item functioning (DIF) would not be a plausible alternative hypothesis for the results. No statistically significant sex-related differences were found out in EV, CES, FES, or total EK. However, the sign of d indicate that female participants were consistently better than male ones, a result that will be of interest for future meta-analyses. Discussion. The three EK tests are ready to be used as components of a higher-level measurement process.Fil: Delgado, Ana R.. Universidad de Salamanca; EspañaFil: Prieto, Gerardo. Universidad de Salamanca; EspañaFil: Burin, Debora Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; ArgentinaPeerJ Inc.2017-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/41102Delgado, Ana R.; Prieto, Gerardo; Burin, Debora Ines; Constructing three emotion knowledge tests from the invariant measurement approach; PeerJ Inc.; PeerJ; 2017; 9; 8-2017; 1-202167-8359CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.3755info:eu-repo/semantics/altIdentifier/url/https://peerj.com/articles/3755/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-26T08:58:59Zoai:ri.conicet.gov.ar:11336/41102instacron: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:34982025-11-26 08:58:59.701CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Constructing three emotion knowledge tests from the invariant measurement approach
title Constructing three emotion knowledge tests from the invariant measurement approach
spellingShingle Constructing three emotion knowledge tests from the invariant measurement approach
Delgado, Ana R.
EMOTION KNOWLEDGE
EMOTIONAL INTELLIGENCE
INVARIANT MEASUREMENT
PSYCHOLOGICAL CONSTRUCTIONISM
PSYCHOLOGICAL DISTANCE
RASCH MODEL
title_short Constructing three emotion knowledge tests from the invariant measurement approach
title_full Constructing three emotion knowledge tests from the invariant measurement approach
title_fullStr Constructing three emotion knowledge tests from the invariant measurement approach
title_full_unstemmed Constructing three emotion knowledge tests from the invariant measurement approach
title_sort Constructing three emotion knowledge tests from the invariant measurement approach
dc.creator.none.fl_str_mv Delgado, Ana R.
Prieto, Gerardo
Burin, Debora Ines
author Delgado, Ana R.
author_facet Delgado, Ana R.
Prieto, Gerardo
Burin, Debora Ines
author_role author
author2 Prieto, Gerardo
Burin, Debora Ines
author2_role author
author
dc.subject.none.fl_str_mv EMOTION KNOWLEDGE
EMOTIONAL INTELLIGENCE
INVARIANT MEASUREMENT
PSYCHOLOGICAL CONSTRUCTIONISM
PSYCHOLOGICAL DISTANCE
RASCH MODEL
topic EMOTION KNOWLEDGE
EMOTIONAL INTELLIGENCE
INVARIANT MEASUREMENT
PSYCHOLOGICAL CONSTRUCTIONISM
PSYCHOLOGICAL DISTANCE
RASCH MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Background. Psychological constructionist models like the Conceptual Act Theory (CAT) postulate that complex states such as emotions are composed of basic psychological ingredients that are more clearly respected by the brain than basic emotions. The objective of this study was the construction and initial validation of Emotion Knowledge measures from the CAT frame by means of an invariant measurement approach, the Rasch Model (RM). Psychological distance theory was used to inform item generation. Methods. Three EK testsemotion vocabulary (EV), close emotional situations (CES) and far emotional situations (FES)were constructed and tested with the RM in a community sample of 100 females and 100 males (age range: 18-65), both separately and conjointly. Results. It was corroborated that data-RM fit was sufficient. Then, the effect of type of test and emotion on Rasch-modelled item difficulty was tested. Significant effects of emotion on EK item difficulty were found, but the only statistically significant difference was that between "happiness" and the remaining emotions; neither type of test, nor interaction effects on EK item difficulty were statistically significant. The testing of gender differences was carried out after corroborating that differential item functioning (DIF) would not be a plausible alternative hypothesis for the results. No statistically significant sex-related differences were found out in EV, CES, FES, or total EK. However, the sign of d indicate that female participants were consistently better than male ones, a result that will be of interest for future meta-analyses. Discussion. The three EK tests are ready to be used as components of a higher-level measurement process.
Fil: Delgado, Ana R.. Universidad de Salamanca; España
Fil: Prieto, Gerardo. Universidad de Salamanca; España
Fil: Burin, Debora Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; Argentina
description Background. Psychological constructionist models like the Conceptual Act Theory (CAT) postulate that complex states such as emotions are composed of basic psychological ingredients that are more clearly respected by the brain than basic emotions. The objective of this study was the construction and initial validation of Emotion Knowledge measures from the CAT frame by means of an invariant measurement approach, the Rasch Model (RM). Psychological distance theory was used to inform item generation. Methods. Three EK testsemotion vocabulary (EV), close emotional situations (CES) and far emotional situations (FES)were constructed and tested with the RM in a community sample of 100 females and 100 males (age range: 18-65), both separately and conjointly. Results. It was corroborated that data-RM fit was sufficient. Then, the effect of type of test and emotion on Rasch-modelled item difficulty was tested. Significant effects of emotion on EK item difficulty were found, but the only statistically significant difference was that between "happiness" and the remaining emotions; neither type of test, nor interaction effects on EK item difficulty were statistically significant. The testing of gender differences was carried out after corroborating that differential item functioning (DIF) would not be a plausible alternative hypothesis for the results. No statistically significant sex-related differences were found out in EV, CES, FES, or total EK. However, the sign of d indicate that female participants were consistently better than male ones, a result that will be of interest for future meta-analyses. Discussion. The three EK tests are ready to be used as components of a higher-level measurement process.
publishDate 2017
dc.date.none.fl_str_mv 2017-08
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/11336/41102
Delgado, Ana R.; Prieto, Gerardo; Burin, Debora Ines; Constructing three emotion knowledge tests from the invariant measurement approach; PeerJ Inc.; PeerJ; 2017; 9; 8-2017; 1-20
2167-8359
CONICET Digital
CONICET
url http://hdl.handle.net/11336/41102
identifier_str_mv Delgado, Ana R.; Prieto, Gerardo; Burin, Debora Ines; Constructing three emotion knowledge tests from the invariant measurement approach; PeerJ Inc.; PeerJ; 2017; 9; 8-2017; 1-20
2167-8359
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.3755
info:eu-repo/semantics/altIdentifier/url/https://peerj.com/articles/3755/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv PeerJ Inc.
publisher.none.fl_str_mv PeerJ Inc.
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
_version_ 1849873290907090944
score 13.011256

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