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Roberge, James J. – Educ Psychol Meas, 1970
This nonparametric analysis of variance program includes the Kruskal-Wallis, Friedman, and Cochran methods. (DG)
Descriptors: Analysis of Variance, Computer Programs, Nonparametric Statistics, Statistical Analysis
Smith, Robert A.; And Others – Educ Psychol Meas, 1970
Descriptors: Analysis of Variance, Computer Programs, Nonparametric Statistics, Statistical Analysis
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Rothstein, Stuart M.; And Others – Psychometrika, 1981
A nonparametric test of dispersion with paired replicates data is described which involves jackknifing logarithmic transformations of the ratio of variance estimates for the pre- and posttreatment populations. Results from a simulation show that the test performs well under the null hypothesis and has good power properties. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Nonparametric Statistics
Peer reviewed Peer reviewed
Shine, Lester C., II – Educational and Psychological Measurement, 1979
The Shine-Bower error term is used to form approximate F ratios for testing various effects in the Shine-Bower single-subject ANOVA and the Shine Combined ANOVA. Results demonstrate the utility of these F ratios with respect to the probability of a type I error. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Milligan, Glenn W. – Educational and Psychological Measurement, 1979
A FORTRAN program is provided for calculating the power of statistical tests based on the chi-square distribution. The program produces approximations to the exact probabilities obtained from the noncentral chi-square distribution. The calculation of the noncentrality parameter is discussed for tests of independence and goodness of fit.…
Descriptors: Computer Programs, Goodness of Fit, Hypothesis Testing, Nonparametric Statistics
Peer reviewed Peer reviewed
Vegelius, Jan – Educational and Psychological Measurement, 1979
The G index is a measure of similarity between pairs of dichotomized items. The G index is generalized here to the case where items are trichotomized. (JKS)
Descriptors: Correlation, Item Analysis, Nonparametric Statistics, Technical Reports
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Hsu, Louis – Educational and Psychological Measurement, 1979
This paper describes an exact small sample test, and provides a table of critical values for an approximate large sample test, to determine if a sample of Likert-Type ratings indicates significant agreement or disagreement in a population of such ratings. (Author)
Descriptors: Expectancy Tables, Hypothesis Testing, Nonparametric Statistics, Rating Scales
Peer reviewed Peer reviewed
Chang, Hua-Hua – Psychometrika, 1996
H. H. Chang and W. F. Stout (1993) presented a derivation of the asymptotic posterior normality of the latent trait given examinee responses under nonrestrictive nonparametric assumptions for dichotomous item response (IRT) theory models. This paper presents an extension of their results to polytomous IRT models and defines a global information…
Descriptors: Classification, Equations (Mathematics), Item Response Theory, Mathematical Models
Peer reviewed Peer reviewed
de Gruijter, Dato N. M. – Applied Psychological Measurement, 1994
The nonparametric Mokken model of test data was compared with parametric models using simulated data through latent class analysis. It is demonstrated that latent class analysis provides a consistent comparison of item response models. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Item Response Theory, Nonparametric Statistics
Peer reviewed Peer reviewed
Penfield, Randall D.; Lam, Tony C. M. – Educational Measurement: Issues and Practice, 2000
Discusses extending research into differential item functioning (DIF) to performance assessment and considers some of the best options available at this time. The most effective strategy for assessing DIF is to use a combination of several methods, preferably one from each of the observed score nonparametric, latent score nonparametric, and…
Descriptors: Evaluation Methods, Item Bias, Nonparametric Statistics, Performance Based Assessment
Peer reviewed Peer reviewed
MacKay, Gilbert; And Others – Educational Research, 1996
Suggests problems in calculating standard scores in Goal Attainment Scaling; first, because it is not dealing with interval data; and second, because of difficulties in estimating degrees of relationship among individuals' scores. Proposes nonparametric methods of handling data. (SK)
Descriptors: Evaluation Methods, Nonparametric Statistics, Rating Scales, Scores
Peer reviewed Peer reviewed
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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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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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