Model and simulation of structural equations for determining the student satisfaction
Structural Equations Models (SEM) determine the dependence or independence relationship of the variables through the integration of linear equations. These models combine factorial analysis with linear regression to determine the data adjustment obtained with a proposed model by means of a path anal...
- Autores:
-
Amelec, Viloria
Pineda Lezama, Omar Bonerge
Mercado Caruso, Nohora Nubia
- 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:11323/5991
- Acceso en línea:
- https://hdl.handle.net/11323/5991
https://repositorio.cuc.edu.co/
- Palabra clave:
- Structural equations
Maximum likelihood method
Factor analysis
Learning
Management
System
TPACK model
Ecuaciones estructurales
Método de máxima verosimilitud
Análisis factorial
Sistema de gestión del aprendizaje
Modelo TPACK
- Rights
- openAccess
- License
- CC0 1.0 Universal
| Summary: | Structural Equations Models (SEM) determine the dependence or independence relationship of the variables through the integration of linear equations. These models combine factorial analysis with linear regression to determine the data adjustment obtained with a proposed model by means of a path analysis, which represents the relationship between latent and observed variables. Observed variables are those that can be directly measured, usually through questionnaires. Latent variables are not directly measured and can be endogenous (dependent) or exogenous (independent). This research provides a model that allows to determine student satisfaction through the structural equations modeling by using the Technological Pedagogical Content Knowledge model (TPACK). |
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