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

Abstract 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 r...

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Bibliographic Details
Main Author: Gomes,Cristiano Mauro Assis (author)
Other Authors: Lemos,Gina C. (author), Jelihovschi,Enio G. (author)
Format: article
Language:eng
Published: 2021
Subjects:
Online Access:http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-91872021000200042
Country:Portugal
Oai:oai:scielo:S0871-91872021000200042