Open AccessUsing PLS Path Modelling in Education System: A Model to Measure the Academic Performance Score
Author(s) -
Williamson Johnny Hatzinakis Brigido,
José Fábio De Oliveira,
Paulo Evelton Lemos de Sousa,
João Carlos Souza
Publication year - 2021
Publication title -
european journal of teaching and education
Language(s) - English
Resource type - Journals
ISSN - 2669-0667
DOI - 10.33422/ejte.v3i3.643
Subject(s) - incentive , latent variable , reliability (semiconductor) , path analysis (statistics) , path (computing) , measure (data warehouse) , institution , academic institution , quality (philosophy) , statistics , partial least squares regression , computer science , psychology , econometrics , mathematics , data mining , sociology , economics , social science , library science , power (physics) , physics , philosophy , epistemology , quantum mechanics , programming language , microeconomics
Partial Least Square (PLS) was used the path modelling. Latent variables such as staff, institution (administration, number of enrolments, quality of laboratories, rooms, etc.), incentive applied for research and Academic Performance Score (APS) were proposed. The indicators available on Brazilian universities were chosen for this article, they were tested and duly validated, as well as the reliability of these items and the variables represented by them. The result was the model explains satisfactorily well the Academic Performance Score (APS) with a R2 of 70.6%, with the Institution contributing the most to the model, for approximately 35.4%. Next, the incentive to research contributes 29.2%. In addition, the hypotheses generated in this article, except one, adequately support the model.