Psychometric and structural analysis of the thesis advisor abuse scale through network analysis
Introduction Mistreatment in thesis advising is a problem that affects the mental health of university students. As a measurement resource, the scale of mistreatment towards the thesis advisor (EMAT) evaluates this phenomenon from three dimensions: mistreatment by the advisor, the thesis jury, and t...
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) Ver en el sistema de origen |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1881700503961731072 |
|---|---|
| author | Oscar Mamani-Benito José Ventura‐León Andy Sánchez-Villena Felipe Anderson Ríos Incio Cristhian Cruz-Campos Susana K. Lingán-Huamán |
| author_browse | Andy Sánchez-Villena Cristhian Cruz-Campos Felipe Anderson Ríos Incio José Ventura‐León Oscar Mamani-Benito Susana K. Lingán-Huamán |
| author_facet | Oscar Mamani-Benito José Ventura‐León Andy Sánchez-Villena Felipe Anderson Ríos Incio Cristhian Cruz-Campos Susana K. Lingán-Huamán |
| author_sort | Oscar Mamani-Benito |
| collection | Producción científica |
| description | Introduction Mistreatment in thesis advising is a problem that affects the mental health of university students. As a measurement resource, the scale of mistreatment towards the thesis advisor (EMAT) evaluates this phenomenon from three dimensions: mistreatment by the advisor, the thesis jury, and the administrative staff. Objective To analyze the psychometric structure of the EMAT using network analysis to examine the interactions among the dimensions of academic abuse in the thesis advising process. Methodology This research belongs to the instrumental design, crosssectional, and was carried out in 514 Peruvian university students, selected through intentional nonprobabilistic sampling. The psychometric properties were evaluated through Exploratory Graphic Analysis (EGA) and bootstrap procedures (bootEGA), using the R software. Results A solid and stable three-dimensional structure was evidenced. From the bootEGA, items with low replicability were eliminated, which allowed the identification of three clearly differentiated communities: mistreatment by the advisor, the thesis jury, and the administrative staff, with high levels of stability (replication ≥.94). Finally, robust loads were observed in each dimension, supporting the scale's structural validity and reliability. Conclusion The EMAT presents a stable three-dimensional structure to evaluate abuse towards the thesis advisor, constituting a psychometrically solid tool for the identification and prevention of these situations in the university environment. |
| format | Article |
| id | openalex:W7160546771 |
| institution | UPeU |
| language | English |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| record_format | dspace |
| spelling | openalex:W7160546771Psychometric and structural analysis of the thesis advisor abuse scale through network analysisOscar Mamani-BenitoJosé Ventura‐LeónAndy Sánchez-VillenaFelipe Anderson Ríos IncioCristhian Cruz-CamposSusana K. Lingán-Huamánthesis advisingscale validationnetwork analysisuniversity studentsstudent mental healthmeasurement invarianceDoctoral Education Challenges and SolutionsPsychometric Methodologies and TestingStudent Stress and CopingIntroduction Mistreatment in thesis advising is a problem that affects the mental health of university students. As a measurement resource, the scale of mistreatment towards the thesis advisor (EMAT) evaluates this phenomenon from three dimensions: mistreatment by the advisor, the thesis jury, and the administrative staff. Objective To analyze the psychometric structure of the EMAT using network analysis to examine the interactions among the dimensions of academic abuse in the thesis advising process. Methodology This research belongs to the instrumental design, crosssectional, and was carried out in 514 Peruvian university students, selected through intentional nonprobabilistic sampling. The psychometric properties were evaluated through Exploratory Graphic Analysis (EGA) and bootstrap procedures (bootEGA), using the R software. Results A solid and stable three-dimensional structure was evidenced. From the bootEGA, items with low replicability were eliminated, which allowed the identification of three clearly differentiated communities: mistreatment by the advisor, the thesis jury, and the administrative staff, with high levels of stability (replication ≥.94). Finally, robust loads were observed in each dimension, supporting the scale's structural validity and reliability. Conclusion The EMAT presents a stable three-dimensional structure to evaluate abuse towards the thesis advisor, constituting a psychometrically solid tool for the identification and prevention of these situations in the university environment.Articlehttps://doi.org/10.3389/feduc.2026.1753630https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2026.1753630/pdfW7160546771enFrontiers in Education2504-284X2026-05-07 |
| spellingShingle | thesis advising scale validation network analysis university students student mental health measurement invariance Doctoral Education Challenges and Solutions Psychometric Methodologies and Testing Student Stress and Coping Oscar Mamani-Benito José Ventura‐León Andy Sánchez-Villena Felipe Anderson Ríos Incio Cristhian Cruz-Campos Susana K. Lingán-Huamán Psychometric and structural analysis of the thesis advisor abuse scale through network analysis |
| title | Psychometric and structural analysis of the thesis advisor abuse scale through network analysis |
| title_full | Psychometric and structural analysis of the thesis advisor abuse scale through network analysis |
| title_fullStr | Psychometric and structural analysis of the thesis advisor abuse scale through network analysis |
| title_full_unstemmed | Psychometric and structural analysis of the thesis advisor abuse scale through network analysis |
| title_short | Psychometric and structural analysis of the thesis advisor abuse scale through network analysis |
| title_sort | psychometric and structural analysis of the thesis advisor abuse scale through network analysis |
| topic | thesis advising scale validation network analysis university students student mental health measurement invariance Doctoral Education Challenges and Solutions Psychometric Methodologies and Testing Student Stress and Coping |
| topic_facet | thesis advising scale validation network analysis university students student mental health measurement invariance Doctoral Education Challenges and Solutions Psychometric Methodologies and Testing Student Stress and Coping |
| url | https://doi.org/10.3389/feduc.2026.1753630 https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2026.1753630/pdf |
| work_keys_str_mv | AT oscarmamanibenito psychometricandstructuralanalysisofthethesisadvisorabusescalethroughnetworkanalysis AT joseventuraleon psychometricandstructuralanalysisofthethesisadvisorabusescalethroughnetworkanalysis AT andysanchezvillena psychometricandstructuralanalysisofthethesisadvisorabusescalethroughnetworkanalysis AT felipeandersonriosincio psychometricandstructuralanalysisofthethesisadvisorabusescalethroughnetworkanalysis AT cristhiancruzcampos psychometricandstructuralanalysisofthethesisadvisorabusescalethroughnetworkanalysis AT susanaklinganhuaman psychometricandstructuralanalysisofthethesisadvisorabusescalethroughnetworkanalysis |