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Nikolakopoulos, Stavros – Research Synthesis Methods, 2020
In narrative synthesis of evidence, it can be the case that the only quantitative measures available concerning the efficacy of an intervention is the direction of the effect, that is, whether it is positive or negative. In such situations, the sign test has been proposed in the literature and in recent Cochrane guidelines as a way to test whether…
Descriptors: Synthesis, Evidence, Statistical Analysis, Nonparametric Statistics
Suzic, Nenad – Research in Pedagogy, 2017
This paper sets out to tackle the issue of the criteria which should be met prior to submission of papers to indexed scientific journals. Firstly, the author addresses the field of qualitative research and tries to define the general characteristics of such works, and secondly, some clarification is brought with respect to the imbalance between…
Descriptors: Writing for Publication, Scholarship, Periodicals, Sciences
Deng, Nina; Han, Kyung T.; Hambleton, Ronald K. – Applied Psychological Measurement, 2013
DIMPACK Version 1.0 for assessing test dimensionality based on a nonparametric conditional covariance approach is reviewed. This software was originally distributed by Assessment Systems Corporation and now can be freely accessed online. The software consists of Windows-based interfaces of three components: DIMTEST, DETECT, and CCPROX/HAC, which…
Descriptors: Item Response Theory, Nonparametric Statistics, Statistical Analysis, Computer Software
Coupet, Jason; Barnum, Darold – International Journal of Educational Advancement, 2010
Discussions of efficiency among Historically Black Colleges and Universities (HBCUs) are often missing in academic conversations. This article seeks to assess efficiency of individual HBCUs using Data Envelopment Analysis (DEA), a non-parametric technique that can synthesize multiple inputs and outputs to determine a single efficiency score for…
Descriptors: Black Colleges, Educational Finance, Efficiency, Data Analysis
Wilcox, Rand R. – Educational and Psychological Measurement, 2006
Consider the nonparametric regression model Y = m(X)+ [tau](X)[epsilon], where X and [epsilon] are independent random variables, [epsilon] has a median of zero and variance [sigma][squared], [tau] is some unknown function used to model heteroscedasticity, and m(X) is an unknown function reflecting some conditional measure of location associated…
Descriptors: Nonparametric Statistics, Mathematical Models, Regression (Statistics), Probability

Harwell, Michael R. – Journal of Experimental Education, 1990
The nonparametric hypothesis-testing model of M. L. Puri and P. K. Sen (1969, 1985) circumvents concerns regarding the inapplicability of nonparametric statistics outside simple cases and the lack of pertinent computer programs. The breadth and flexibility of the model are illustrated with several examples. (TJH)
Descriptors: Educational Research, Hypothesis Testing, Mathematical Models, Nonparametric Statistics

Stout, William – Psychometrika, 1987
A procedure--based on item response theory--for testing the hypothesis of unidimensionality of the latent space is proposed. Use of the procedure is supported by an asymptotic theory and a Monte Carlo simulation study. The procedure tests for unidimensionality in test construction and/or compares two tests. (SLD)
Descriptors: College Entrance Examinations, Computer Simulation, Equations (Mathematics), Hypothesis Testing

Nandakumar, Ratna; Stout, William – Journal of Educational Statistics, 1993
A detailed investigation is provided of Stout's statistical procedure (the computer program DIMTEST) for testing the hypothesis that an essentially unidimensional latent trait model fits observed binary item response data from a psychological test. Three refinements achieve greater power. The revised approach is validated using real data sets.…
Descriptors: Computer Simulation, Equations (Mathematics), Hypothesis Testing, Item Response Theory