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Adedokun, Omolola A.; Burgess, Wilella D. – Journal of MultiDisciplinary Evaluation, 2012
Background: Although McNemar Test is the most appropriate tool for analyzing pre-post differences in dichotomous items (e.g., "yes" or "no", "correct" or "incorrect", etc.), many scholars have noted the inappropriate use of Pearson's Chi-square Test by researchers, including social scientists and evaluators,…
Descriptors: Statistical Analysis, Test Items, Pretests Posttests, Hypothesis Testing
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Staels, Eva; Van den Broeck, Wim – Journal of Learning Disabilities, 2015
In this study, we examined whether orthographic learning can be demonstrated in disabled readers learning to read in a transparent orthography (Dutch). In addition, we tested the effect of the use of text-to-speech software, a new form of direct instruction, on orthographic learning. Both research goals were investigated by replicating Share's…
Descriptors: Foreign Countries, Disabilities, Reading Instruction, Orthographic Symbols
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Tsesmeli, Styliani N.; Tsirozi, Theologia – Themes in Science and Technology Education, 2015
The case-study aims to examine the effectiveness of training of morphological structure on the spelling of compounds by a spelling-disabled primary school student. The experimental design of the intervention was based on the word-pair paradigm and included a pre-test, a training program and a post-test (n = 50 pairs). The Training Program aimed to…
Descriptors: Case Studies, Elementary School Students, Learning Disabilities, Spelling
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Chen, Fang; Chalhoub-Deville, Micheline – Language Testing, 2014
Newer statistical procedures are typically introduced to help address the limitations of those already in practice or to deal with emerging research needs. Quantile regression (QR) is introduced in this paper as a relatively new methodology, which is intended to overcome some of the limitations of least squares mean regression (LMR). QR is more…
Descriptors: Regression (Statistics), Language Tests, Language Proficiency, Mathematics Achievement
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Morris, John D.; Huberty, Carl J. – Journal of Experimental Education, 1995
A method is presented for extending full versus restricted model testing to predictive discriminant analysis when the criterion of model accuracy is classification hit rate. An example is presented involving the dropout or school persistence of 76 5th graders, and a computer program for the analysis is introduced. (SLD)
Descriptors: Academic Persistence, Classification, Computer Software, Dropouts