Applying Structural Equation Modelling on a Motivation Survey

Master thesis (2023)

Authors

L.M. Leeuwestein Electrical Engineering, Mathematics and Computer Science

Contributors

A.J. Cabo Statistics - EEMCS (supervisor 1)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Linda Leeuwestein
More Info
expand_more

Published Date

10-07-2023

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

In this research, Structural Equation Modelling was applied to analyze the relationships between latent variables measured by a Motivation Survey. Special attention was paid to the ordinal nature of the data. The model was split into several parts, containing Teacher Cues Monitoring and Scaffolding, Satisfaction and Frustration of the three needs Autonomy, Competence and Relatedness, and Autonomous and Controlled Motivation. The aim of this research was to find a suitable model and to discover how all of the latent variables mentioned above influence academic performance.
It turns out that Academic Performance was influenced most by Autonomous Motivation, which in turn was influenced most by Autonomy Satisfaction. When leaving out Autonomy Satisfaction, Relatedness and Competence Satisfaction also appear to have a positive influence on Autonomous Motivation, which in turn are positively influenced by Monitoring and especially Scaffolding. The results have implications for education purposes, in the sense that it gives some insight with respect to teachers’ involvement in students’ academic performance.