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Golino, Hudson F.; Gomes, Cristiano M. A. – International Journal of Research & Method in Education, 2016
This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…
Descriptors: Item Response Theory, Regression (Statistics), Difficulty Level, Goodness of Fit
Zembylas, Michalinos – International Journal of Research & Method in Education, 2007
Differing theoretical approaches to the study of emotions are presented: emotions as private (psychodynamic approaches); emotions as sociocultural phenomena (social constructionist approaches); and a third perspective (interactionist approaches) transcending these two. These approaches have important methodological implications in studying…
Descriptors: Counseling Theories, Research Methodology, Behavioral Science Research, Psychological Studies