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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
Hammes, Patricia Simone; Bigras, Marc; Crepaldi, Maria Aparecida – International Journal of Research & Method in Education, 2016
We tested the criterion-related validity and potential bias of two measures of pupils' academic achievement: the Teacher Rating Scale (TRS) and the Mathematics and Literacy Achievement Tests (MLTs). These measures are representative of assessment methods largely used in the elementary school. The aims were: (1) to verify the extent to which TRS…
Descriptors: Foreign Countries, Academic Achievement, Validity, Bias
Delprato, Marcos; Sabates, Ricardo – International Journal of Research & Method in Education, 2015
This paper explores how factors operating at the state and community levels are associated with the prevalence of late school enrolment in Nigeria. We investigate the following three research themes. First, whether late entry varies across states and across communities and how much of this variation can be explained by the composition of…
Descriptors: Foreign Countries, Enrollment, School Entrance Age, Comparative Analysis
Bai, Haiyan – International Journal of Research & Method in Education, 2011
Propensity score matching (PSM) has become a popular approach for research studies when randomization is infeasible. However, there are significant differences in the effectiveness of selection bias reduction among the existing PSM methods and, therefore, it is challenging for researchers to select an appropriate matching method. This current…
Descriptors: Research Methodology, Researchers, Comparative Analysis, Scores