Publicação
Emotional competence veiga scale (ecvs) confirmatory validation
| Resumo: | Psychometry of the Data Collection Instrument (DCI) From the point of view of descriptive statistical analysis, assumes that the EVCE cut-off point is 4. To measure the EC profile, 3 levels of E.C. are considered: the low level, between 1 and 3.49; the moderate level between 3.50 and 5.45, and the high level between 5.46 and 7. Therefore, in order to obtain the level of Emotional Competence as a global construct, we will have to obtain the average values of the means of the five dimensions. To obtain the level of each of the dimensions we have to obtain the average values in each one. Data Analysis Methodology The data analysis process took place in two phases. The first, focused on the validity, reliability, and confirmation of the EC scale used in the questionnaire. The second phase of the data analysis was intended to descriptively analyse the results obtained and identify statistically significant differences between groups. 1 st Phase It should first be mentioned that all the methodological requirements for carrying out the factor analysis of the emotional competence scale were verified. All variables are metrics (Likert scale), all factors have at least 5 variables and there are more than 5 observations per variable (Hair et al, 2010 (46)). Confirmatory analysis was carried out using structural equation analysis (SEA). The use of SEA allows a qualitative leap from an exploratory model to a confirmatory model, going beyond classic statistics: Another advantage of using this methodology is that the SEA allows testing the global fit of models and individual significance of parameters in a theoretical framework that includes various types of linear models. The internal reliability of the scales was examined using Cronbach's alpha analysis. Cronbach's alpha is one of the most used measures for internal verification of a group of variables (items) and can be defined as the correlation expected to be obtained between the scale used and other hypothetical scales of the same universe, with an equal number of items, which measure the same characteristic |
|---|---|
| Autores principais: | Veiga-Branco, Augusta |
| Assunto: | Emotional competence |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | póster em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173173189935104 |
|---|---|
| author | Veiga-Branco, Augusta |
| author_facet | Veiga-Branco, Augusta |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Veiga-Branco, Augusta\",\"Person.identifier.orcid\":\"0000-0002-7963-2291\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Veiga-Branco, Augusta |
| datacite.date.Accepted.fl_str_mv | 2024-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2024-12-10T14:30:50Z |
| datacite.date.embargoed.fl_str_mv | 2024-12-10T14:30:50Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Emotional competence |
| datacite.titles.title.fl_str_mv | Emotional competence veiga scale (ecvs) confirmatory validation |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Veiga-Branco, Augusta |
| dc.date.Accepted.fl_str_mv | 2024-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2024-12-10T14:30:50Z |
| dc.date.embargoed.fl_str_mv | 2024-12-10T14:30:50Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/30702 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | University of Patras |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Emotional competence |
| dc.title.fl_str_mv | Emotional competence veiga scale (ecvs) confirmatory validation |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6670 |
| description | Psychometry of the Data Collection Instrument (DCI) From the point of view of descriptive statistical analysis, assumes that the EVCE cut-off point is 4. To measure the EC profile, 3 levels of E.C. are considered: the low level, between 1 and 3.49; the moderate level between 3.50 and 5.45, and the high level between 5.46 and 7. Therefore, in order to obtain the level of Emotional Competence as a global construct, we will have to obtain the average values of the means of the five dimensions. To obtain the level of each of the dimensions we have to obtain the average values in each one. Data Analysis Methodology The data analysis process took place in two phases. The first, focused on the validity, reliability, and confirmation of the EC scale used in the questionnaire. The second phase of the data analysis was intended to descriptively analyse the results obtained and identify statistically significant differences between groups. 1 st Phase It should first be mentioned that all the methodological requirements for carrying out the factor analysis of the emotional competence scale were verified. All variables are metrics (Likert scale), all factors have at least 5 variables and there are more than 5 observations per variable (Hair et al, 2010 (46)). Confirmatory analysis was carried out using structural equation analysis (SEA). The use of SEA allows a qualitative leap from an exploratory model to a confirmatory model, going beyond classic statistics: Another advantage of using this methodology is that the SEA allows testing the global fit of models and individual significance of parameters in a theoretical framework that includes various types of linear models. The internal reliability of the scales was examined using Cronbach's alpha analysis. Cronbach's alpha is one of the most used measures for internal verification of a group of variables (items) and can be defined as the correlation expected to be obtained between the scale used and other hypothetical scales of the same universe, with an equal number of items, which measure the same characteristic |
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| eu_rights_str_mv | openAccess |
| format | conferencePoster |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/4e4c24a8-e225-4e0e-8ac0-5f17d708222c/download |
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| identifier.url.fl_str_mv | http://hdl.handle.net/10198/30702 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
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| person_str_mv | Veiga-Branco, Augusta Veiga-Branco, Augusta http://orcid.org/0000-0002-7963-2291 0000-0002-7963-2291 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | University of Patras |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engUniversity of Patraspt_PTPsychometry of the Data Collection Instrument (DCI) From the point of view of descriptive statistical analysis, assumes that the EVCE cut-off point is 4. To measure the EC profile, 3 levels of E.C. are considered: the low level, between 1 and 3.49; the moderate level between 3.50 and 5.45, and the high level between 5.46 and 7. Therefore, in order to obtain the level of Emotional Competence as a global construct, we will have to obtain the average values of the means of the five dimensions. To obtain the level of each of the dimensions we have to obtain the average values in each one. Data Analysis Methodology The data analysis process took place in two phases. The first, focused on the validity, reliability, and confirmation of the EC scale used in the questionnaire. The second phase of the data analysis was intended to descriptively analyse the results obtained and identify statistically significant differences between groups. 1 st Phase It should first be mentioned that all the methodological requirements for carrying out the factor analysis of the emotional competence scale were verified. All variables are metrics (Likert scale), all factors have at least 5 variables and there are more than 5 observations per variable (Hair et al, 2010 (46)). Confirmatory analysis was carried out using structural equation analysis (SEA). The use of SEA allows a qualitative leap from an exploratory model to a confirmatory model, going beyond classic statistics: Another advantage of using this methodology is that the SEA allows testing the global fit of models and individual significance of parameters in a theoretical framework that includes various types of linear models. The internal reliability of the scales was examined using Cronbach's alpha analysis. Cronbach's alpha is one of the most used measures for internal verification of a group of variables (items) and can be defined as the correlation expected to be obtained between the scale used and other hypothetical scales of the same universe, with an equal number of items, which measure the same characteristicapplication/pdfpt_PTEmotional competence veiga scale (ecvs) confirmatory validationPersonalVeiga-Branco, AugustaDSpacehttp://dspace.org/items/f46b8e1b-dd54-4ae1-9056-3bae4625a6ccDSpacehttp://dspace.org/items/f46b8e1b-dd54-4ae1-9056-3bae4625a6ccVeiga-BrancoAugustaORCIDhttp://orcid.org0000-0002-7963-2291HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2024-12-10T14:30:50Z20242024-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/30702http://purl.org/coar/access_right/c_abf2open accessEmotional competence666386 bytesother research producthttp://purl.org/coar/resource_type/c_6670conference poster2024http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/4e4c24a8-e225-4e0e-8ac0-5f17d708222c/download9 th ENSEC ConferenceGreece |
| spellingShingle | Emotional competence veiga scale (ecvs) confirmatory validation Veiga-Branco, Augusta Emotional competence |
| status | SINGLETON |
| subject.fl_str_mv | Emotional competence |
| title | Emotional competence veiga scale (ecvs) confirmatory validation |
| title_full | Emotional competence veiga scale (ecvs) confirmatory validation |
| title_fullStr | Emotional competence veiga scale (ecvs) confirmatory validation |
| title_full_unstemmed | Emotional competence veiga scale (ecvs) confirmatory validation |
| title_short | Emotional competence veiga scale (ecvs) confirmatory validation |
| title_sort | Emotional competence veiga scale (ecvs) confirmatory validation |
| topic | Emotional competence |
| topic_facet | Emotional competence |
| url | http://hdl.handle.net/10198/30702 |
| visible | 1 |