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Bintas, Jale; Barut, Asim – Turkish Online Journal of Educational Technology - TOJET, 2008
The aim of research is to compare difference between tenth class students and determine their level of success about classic and web based educational applications of Turbo Pascal lesson. This research was applied to 10 A and 10 TLB students of Izmir Karsikaya Anatolian Technical and industrial high school computer department in second term of…
Descriptors: Web Based Instruction, Conventional Instruction, Academic Achievement, Comparative Analysis
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Kumar, M. Rajesh; Kumar, R. Krishna – Journal on School Educational Technology, 2008
The trend of using e-learning as a teaching tool is now rapidly expanding into education. Although e-learning environments are becoming popular there is minimal research on the impact of e-learning on the teachers. The purpose of this study is to develop a tool to measure the impact of e-learning on the teachers' of higher education in the Indian…
Descriptors: Electronic Learning, Higher Education, Foreign Countries, Teachers
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Vendlinski, Terry P.; Howard, Keith E.; Hemberg, Bryan C.; Vinyard, Laura; Martel, Annabel; Kyriacou, Elizabeth; Casper, Jennifer; Chai, Yourim; Phelan, Julia C.; Baker, Eva L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2008
The inability of students to become proficient in algebra seems to be widespread in American schools. One of the reasons often cited for this inability is that instruction seldom builds on prior knowledge. Research suggests that teacher effectiveness is the most critical controllable variable in improving student achievement. This report details a…
Descriptors: Teacher Effectiveness, Formative Evaluation, Academic Achievement, Prior Learning
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Henderson, Daniel J.; Olbrecht, Alexandre; Polachek, Solomon W. – Journal of Human Resources, 2006
This paper investigates how students' collegiate athletic participation affects their subsequent labor market success. By using newly developed techniques in nonparametric regression, it shows that on average former college athletes earn a wage premium. However, the premium is not uniform, but skewed so that more than half the athletes actually…
Descriptors: College Athletics, Student Participation, Nonparametric Statistics, Regression (Statistics)
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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
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Hettmansperger, Thomas P. – Psychometrika, 1975
Treats the problem of testing an ordered hypothesis based on the ranks of the data. Statistical procedures for the randomized block design with more than one observation per cell are derived. Multiple comparisions and estimation procedures are included. (Author/RC)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Nonparametric Statistics
Lieberman, Marcus – 1979
This paper illustrates the relevance and utility of non-parametric statistical tests, such as the Kolmogorov-Smirnov two sample test, for analysis of developmental phenomena. This statistic tests the null hypothesis that two samples have been drawn from the same population by comparing their whole distributions, rather than specific parameters and…
Descriptors: Developmental Stages, Nonparametric Statistics, Research Methodology, Research Problems
Killian, C. Rodney; Hoover, H. D. – 1974
The power of the t, expected normal scores, Mann-Whitney U, Tukey, a modified Mann-Whitney U, and an adaptive procedure were investigated when sampling from population models empirically developed from test score distributions. The models used were selected members of the beta family. This investigation was unique in that not only did the means of…
Descriptors: Hypothesis Testing, Investigations, Models, Nonparametric Statistics
Timm, Neil H. – 1974
Multivariate models are demonstrated to analyze repeated measures profile and growth curve data when univariate or multivariate mixed model assumptions are not tenable. Standard mixed model tests are recovered from certain multivariate hypotheses. The procedures are illustrated using numerical examples. (Author/RC)
Descriptors: Hypothesis Testing, Matrices, Models, Nonparametric Statistics
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Schmeidler, James – Educational and Psychological Measurement, 1978
The basic assumption of Cooper's nonparametric test for trend (EJ 125 069) is questioned. It is contended that the proper assumption alters the distribution of the statistic and reduces its usefulness. (JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics, Research Design
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Penfield, Douglas A. – Educational and Psychological Measurement, 1978
The normal scores test for scale (variance) is presented as an alternative for evaluating the equality of dispersion for two independent populations. Test development is indicated as well as examples illustrating large and small sample situations. Reference is made to comparisons with the F, Mood, and Siegel-Tukey tests. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Nonparametric Statistics
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Schulman, Robert S. – Psychometrika, 1978
Ordinal measurement is the rank ordering of individuals in a population. For ordinal measurement, the concept of an individual propensity distribution is his or her true score. Estimation of, as well as other aspects of the distribution, are discussed. (Author/JKS)
Descriptors: Correlation, Measurement, Nonparametric Statistics, Probability
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D'Andrade, Roy G. – Psychometrika, 1978
A monotone invariant method of hierarchical clustering based on the Mann-Whitney U-statistic is presented. The effectiveness of the complete-link, single-link, and U-statistic methods are evaluated. The U-statistic method is found to be consistently more effective in recovering the original tree structures than the alternative methods. (Author/JKS)
Descriptors: Cluster Analysis, Comparative Analysis, Goodness of Fit, Nonparametric Statistics
Stamm, Carol L. – Journal of Physical Education and Recreation, 1976
Use of the coefficient of concordance is explained to be a simple technique for estimating reliability in small scale situation and is advocated as a valuable method for physical educators. (GW)
Descriptors: Measurement Techniques, Nonparametric Statistics, Physical Education, Statistical Analysis
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Kingma, Johannes; Reuvekamp, Johan – Educational and Psychological Measurement, 1986
A description of a Mokken test program to test the robustness of nonparametric Stochastic scales is presented. For each sample and the whole population, different scale statistics (both on scale and on item level) are computed recursively. A statistic T is presented for testing the robustness of the scales in the samples. (Author)
Descriptors: Algorithms, Computer Software, Input Output, Mathematical Models
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