The reasons why the Regression Tree Method is more suitable than General Linear Model to analyze complex educational datasets

Any quantitative method is shaped by certain rules or assumptions which constitute its own rationale. It is not by chance that these assumptions determine the conditions and constraints which permit the evidence to be constructed. In this article, we argue why the Regression Tree Method’s rationale...

Full description

Bibliographic Details
Main Authors: Cristiano Mauro Assis Gomes, Gina C Lemos, Enio G. Jelihovschi
Format: Article
Language:Portuguese
Published: Universidade do Minho 2021-12-01
Series:Revista Portuguesa de Educação
Subjects:
Online Access:https://revistas.rcaap.pt/rpe/article/view/18044