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Using Conditional Entropy Networks of Ordinal Measures to Examine Changes in Self-Worth Among Adolescent Students in High School.
Furfaro, Emanuela; Hsieh, Fushing; Weiss, Maureen R; Ferrer, Emilio.
Afiliación
  • Furfaro E; Department of Statistics, University of Washington, Seattle, WA, USA.
  • Hsieh F; Department of Statistics, University of California, Davis, Davis, CA, USA.
  • Weiss MR; School of Kinesiology, University of Minnesota Twin Cities, Minneapolis, MN, USA.
  • Ferrer E; Department of Psychology, University of California, Davis, Davis, CA, USA.
Multivariate Behav Res ; 59(5): 1077-1097, 2024.
Article en En | MEDLINE | ID: mdl-38997141
ABSTRACT
We implement an analytic approach for ordinal measures and we use it to investigate the structure and the changes over time of self-worth in a sample of adolescents students in high school. We represent the variations in self-worth and its various sub-domains using entropy-based measures that capture the observed uncertainty. We then study the evolution of the entropy across four time points throughout a semester of high school. Our analytic approach yields information about the configuration of the various dimensions of the self together with time-related changes and associations among these dimensions. We represent the results using a network that depicts self-worth changes over time. This approach also identifies groups of adolescent students who show different patterns of associations, thus emphasizing the need to consider heterogeneity in the data.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Instituciones Académicas / Autoimagen / Estudiantes / Entropía Límite: Adolescent / Female / Humans / Male Idioma: En Revista: Multivariate Behav Res Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Instituciones Académicas / Autoimagen / Estudiantes / Entropía Límite: Adolescent / Female / Humans / Male Idioma: En Revista: Multivariate Behav Res Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos