Mixture structural equation models for classifying university student dropout in latin america

This research seeks to develop a model that allows consider the different forms of heterogeneity of international dropout data and also classify students who continue studying and those who drop out. Specifically, through the use of Mixture Structural Equation Models (MSEM), the study seeks to devel...

Full description

Autores:

Amelec, Viloria
Pineda Lezama, Omar Bonerge

Tipo de recurso:

Article of journal

Fecha de publicación:

2019

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/5992

Acceso en línea:

https://hdl.handle.net/11323/5992
https://repositorio.cuc.edu.co/

Palabra clave:

Mixture structural equations models
Student satisfaction
Student dropout
Mezcla de modelos de ecuaciones estructurales
Satisfacción del estudiante
Abandono estudiantil

Rights

openAccess

License

CC0 1.0 Universal