Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal

Detalhes bibliográficos
Autor(a) principal: Vieira, Kelmara Mendes
Data de Publicação: 2024
Outros Autores: Carvalho, Aline Kárem Santos, Klein, Leander Luiz, Pereira, Breno Augusto Diniz
Tipo de documento: Conjunto de dados
Título da fonte: SciELO Data
Texto Completo: https://doi.org/10.48331/scielodata.RHGLG9
Resumo: Replication Data for “Student Self-Assessment of the Graduate Course: a multidimensional model proposal” Description This dataset is derived from a study that develop a self-assessment model by students and alumni of Graduate Courses. A survey was carried out with students and alumni at a higher education institution in southern Brazil and a valid sample of 2037 respondents was obtained. The research was approved by the Research Ethics Committee (CAAE: 00982218.0.0000.5346). Steps to reproduce The data analysis and statistical procedures are described in the article " Student Self-Assessment of the Graduate Course: a multidimensional model proposal” Who is willing to reproduce this research may read the method section of that article and follow the steps we perfomed. This data set also allows researchers to make other and fhurteher statistical analysis.
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spelling https://doi.org/10.48331/scielodata.RHGLG9Vieira, Kelmara MendesCarvalho, Aline Kárem SantosKlein, Leander LuizPereira, Breno Augusto DinizReplication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposalSciELO DataReplication Data for “Student Self-Assessment of the Graduate Course: a multidimensional model proposal” Description This dataset is derived from a study that develop a self-assessment model by students and alumni of Graduate Courses. A survey was carried out with students and alumni at a higher education institution in southern Brazil and a valid sample of 2037 respondents was obtained. The research was approved by the Research Ethics Committee (CAAE: 00982218.0.0000.5346). Steps to reproduce The data analysis and statistical procedures are described in the article " Student Self-Assessment of the Graduate Course: a multidimensional model proposal” Who is willing to reproduce this research may read the method section of that article and follow the steps we perfomed. This data set also allows researchers to make other and fhurteher statistical analysis.2024-03-04info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0Business and ManagementSocial SciencesHigher EducationSelf-AssessmentStudentsScaleGraduate CoursesStrutctural Equation ModelsFederal University of Santa Mariainfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersionDatasetreponame:SciELO Datainstname:Scientific Electronic Library Online (SCIELO)instacron:SCIRepositório de Dados de PesquisaONGhttps://data.scielo.org/oai/requestdata@scielo.orgopendoar:2024-04-11T06:13:14SciELO Data - Scientific Electronic Library Online (SCIELO)falsedoi:10.48331/scielodata.RHGLG9
dc.title.none.fl_str_mv Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal
title Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal
spellingShingle Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal
Vieira, Kelmara Mendes
Business and Management
Social Sciences
Higher Education
Self-Assessment
Students
Scale
Graduate Courses
Strutctural Equation Models
Federal University of Santa Maria
title_short Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal
title_full Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal
title_fullStr Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal
title_full_unstemmed Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal
title_sort Replication Data for: Student Self-Assessment of the Graduate Course: a multidimensional model proposal
author Vieira, Kelmara Mendes
author_facet Vieira, Kelmara Mendes
Carvalho, Aline Kárem Santos
Klein, Leander Luiz
Pereira, Breno Augusto Diniz
author_role author
author2 Carvalho, Aline Kárem Santos
Klein, Leander Luiz
Pereira, Breno Augusto Diniz
author2_role author
author
author
dc.contributor.author.fl_str_mv Vieira, Kelmara Mendes
Carvalho, Aline Kárem Santos
Klein, Leander Luiz
Pereira, Breno Augusto Diniz
dc.subject.none.fl_str_mv Business and Management
Social Sciences
Higher Education
Self-Assessment
Students
Scale
Graduate Courses
Strutctural Equation Models
Federal University of Santa Maria
topic Business and Management
Social Sciences
Higher Education
Self-Assessment
Students
Scale
Graduate Courses
Strutctural Equation Models
Federal University of Santa Maria
description Replication Data for “Student Self-Assessment of the Graduate Course: a multidimensional model proposal” Description This dataset is derived from a study that develop a self-assessment model by students and alumni of Graduate Courses. A survey was carried out with students and alumni at a higher education institution in southern Brazil and a valid sample of 2037 respondents was obtained. The research was approved by the Research Ethics Committee (CAAE: 00982218.0.0000.5346). Steps to reproduce The data analysis and statistical procedures are described in the article " Student Self-Assessment of the Graduate Course: a multidimensional model proposal” Who is willing to reproduce this research may read the method section of that article and follow the steps we perfomed. This data set also allows researchers to make other and fhurteher statistical analysis.
publishDate 2024
dc.date.issued.fl_str_mv 2024-03-04
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
status_str publishedVersion
dc.identifier.url.fl_str_mv https://doi.org/10.48331/scielodata.RHGLG9
url https://doi.org/10.48331/scielodata.RHGLG9
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
dc.format.none.fl_str_mv Dataset
dc.publisher.none.fl_str_mv SciELO Data
publisher.none.fl_str_mv SciELO Data
dc.source.none.fl_str_mv reponame:SciELO Data
instname:Scientific Electronic Library Online (SCIELO)
instacron:SCI
instname_str Scientific Electronic Library Online (SCIELO)
instacron_str SCI
institution SCI
reponame_str SciELO Data
collection SciELO Data
repository.name.fl_str_mv SciELO Data - Scientific Electronic Library Online (SCIELO)
repository.mail.fl_str_mv data@scielo.org
_version_ 1797042024168292353

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