Educational Psychology in Latin America: With Linear Hierarchical Models
| Autor: | Darwin Solano, Nataly Orellano Llinás, Jesús Silva, Luz Estela Leon Coronado, Rosio Barrios González, Ligia Romero, Claudia Fernández, Ana María Negrete Sepulveda |
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| Rok vydání: | 2019 |
| Předmět: |
Latin Americans
05 social sciences Multilevel model 050301 education Educational psychology 02 engineering and technology Least squares Quantitative analysis (finance) Research based 0202 electrical engineering electronic engineering information engineering Econometrics 020201 artificial intelligence & image processing Analysis of variance Psychology 0503 education Parametric statistics |
| Zdroj: | Communications in Computer and Information Science ISBN: 9789811513008 iSCI |
| DOI: | 10.1007/978-981-15-1301-5_19 |
| Popis: | Research in clinical psychology, since its inception, has been aimed at analyzing, predicting and explaining the effect of treatments, by studying the change of patients in the course of them. To study the effects of therapy, research based on quantitative analysis models has historically used classical methods of parametric statistics, such as Pearson correlations, least squares regressions Student’s T-Tests and Variance Analysis (ANOVA). Hierarchical linear models (HLMs) represent a fundamental statistical strategy for research in psychotherapy, as they allow to overcome dependence on the observations usually presented in your data. The objective of this work is to present a guide to understanding, applying and reporting HLMs to study the effects of psychotherapy. |
| Databáze: | OpenAIRE |
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