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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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Texto completo: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S0871-91872021000200042 |
| País: | Portugal |
| Oai: | oai:scielo:S0871-91872021000200042 |