Open AccessA Structural Equation Modeling of Factors Affecting Student Motivation in Thesis Preparation
Author(s) -
Edi Setiawan,
Arini Widya Pratiwi,
Netti Herawati,
Khoirin Nisa,
Ahmad Faisol
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1751/1/012030
Subject(s) - structural equation modeling , psychology , latent variable , regression analysis , multivariate statistics , confirmatory factor analysis , econometrics , mathematics education , mathematics , statistics
Structural equation modelling is a multivariate statistical analysis technique that is used to analyse structural relationships. This technique is the combination of factor analysis and multiple regression analysis, and it is used to analyse the structural relationship between measured variables and latent constructs. The purpose of this study is to use structural equation modelling to better understand student motivation in thesis preparation and its causal determinants. The study creates a plausible structural equation model (SEM) and tests it. The data used were students’ responses of a questionnaire survey about the student motivation in thesis preparation. Based on the results of the study, it was found that the relationship between lecturer and student and the environmental conditions have significant influence to student motivation in thesis preparation.