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Karabatsos, George – Research Synthesis Methods, 2018
There is a growing concern that much of the published research literature is distorted by the pursuit of statistically significant results. In a seminal article, Ioannidis and Trikalinos (2007, "Clinical Trials") proposed an omnibus (I&T) test for significance chasing (SC) biases. This test compares the observed number of studies…
Descriptors: Nonparametric Statistics, Bayesian Statistics, Bias, Statistical Significance
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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
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Garcia-Gracia, Maribel; Donoso Vázquez, Trinidad – International Journal of Inclusive Education, 2016
This study carries out a comparative analysis of achievement according to gender between mixed and single-sex schools in the region of Catalonia, Spain, for the subjects of Spanish, Catalan, English and Mathematics. After a brief contextualisation, a review of the main findings from international studies on differences in results for mixed schools…
Descriptors: Foreign Countries, Single Sex Schools, Coeducation, Academic Achievement
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research