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Society for Research on Educational Effectiveness, 2017
Bayesian statistical methods have become more feasible to implement with advances in computing but are not commonly used in educational research. In contrast to frequentist approaches that take hypotheses (and the associated parameters) as fixed, Bayesian methods take data as fixed and hypotheses as random. This difference means that Bayesian…
Descriptors: Bayesian Statistics, Educational Research, Statistical Analysis, Decision Making
Chen, Jinsong; de la Torre, Jimmy; Zhang, Zao – Journal of Educational Measurement, 2013
As with any psychometric models, the validity of inferences from cognitive diagnosis models (CDMs) determines the extent to which these models can be useful. For inferences from CDMs to be valid, it is crucial that the fit of the model to the data is ascertained. Based on a simulation study, this study investigated the sensitivity of various fit…
Descriptors: Models, Psychometrics, Goodness of Fit, Statistical Analysis
What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification
Chase, Jared A.; Houmanfar, Ramona – Journal of Behavioral Education, 2009
Educators in large-enrollment courses are faced with the challenge of effectively disseminating information to their students to ensure that they learn the content provided. A related issue involves the means by which instructors evaluate student performance. Offering effective forms of performance feedback may be one technique to provide students…
Descriptors: Feedback (Response), Tests, Psychology, Academic Achievement
Kim, Se-Kang – International Journal of Testing, 2010
The aim of the current study is to validate the invariance of major profile patterns derived from multidimensional scaling (MDS) by bootstrapping. Profile Analysis via Multidimensional Scaling (PAMS) was employed to obtain profiles and bootstrapping was used to construct the sampling distributions of the profile coordinates and the empirical…
Descriptors: Intervals, Multidimensional Scaling, Profiles, Evaluation
Wang, Jianjun – International Journal of Research & Method in Education, 2008
As an alternative to statistical testing, effect size has a non-monotonic linkage with practical importance. Besides random variance and systematic bias, a proper interpretation of effect size hinges on its implication to outcomes of deductive and/or inductive enquiries. Consequently, a small effect size might suggest an important finding, and the…
Descriptors: Effect Size, Statistical Significance, Statistical Inference, Evaluation
Alonzo, Julie; Basaraba, Deni; Tindal, Gerald; Carriveau, Ronald S. – Assessment for Effective Intervention, 2009
Much of the literature on reading development focuses on measures of early literacy skills (e.g., phonological awareness, phonics, fluency). Elementary educators interested in improving students' skills in these areas can draw on a wealth of research studies. However, many studies of early literacy skills have not addressed comprehension,…
Descriptors: Reading Comprehension, Phonological Awareness, Emergent Literacy, Evaluation
Hughes, Marshall – Journal of Research in International Education, 2008
The purpose of the study described in this paper was to identify those factors which affect Year 9 students at Sha Tin College, Hong Kong, as they make option choices at the end of Key Stage 3 (Year 9: age 14). The main focus of the investigation was how these factors influence the selection or rejection of the four subjects offered under the…
Descriptors: National Curriculum, Foreign Countries, Student Attitudes, Grade 8