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de Winter, J. C .F. – Practical Assessment, Research & Evaluation, 2013
Researchers occasionally have to work with an extremely small sample size, defined herein as "N" less than or equal to 5. Some methodologists have cautioned against using the "t"-test when the sample size is extremely small, whereas others have suggested that using the "t"-test is feasible in such a case. The present…
Descriptors: Sample Size, Statistical Analysis, Hypothesis Testing, Simulation
Curran-Everett, Douglas – Advances in Physiology Education, 2011
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This seventh installment of "Explorations in Statistics" explores regression, a technique that estimates the nature of the relationship between two things for which we may only surmise a mechanistic or predictive…
Descriptors: Regression (Statistics), Statistics, Models, Correlation
Paeye, Celine; Madelain, Laurent – Journal of the Experimental Analysis of Behavior, 2011
Saccadic endpoint variability is often viewed as the outcome of neural noise occurring during sensorimotor processing. However, part of this variability might result from operant learning. We tested this hypothesis by reinforcing dispersions of saccadic amplitude distributions, while maintaining constant their medians. In a first experiment we…
Descriptors: Human Body, Eye Movements, Perceptual Motor Learning, Operant Conditioning
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research

Steiger, James H.; Browne, Michael W. – Psychometrika, 1984
A general procedure is provided for comparing correlation coefficients between optimal linear composites. It allows computationally efficient significance tests on independent or dependent multiple correlations, partial correlations, and canonical correlations, with or without the assumption of multivariate normality. Evidence from Monte Carlo…
Descriptors: Correlation, Hypothesis Testing, Monte Carlo Methods, Statistical Distributions
Li, Jianmin; And Others – 1992
This paper discusses the issue of multiple testing and overall Type I error rates in contexts other than multiple comparisons of means. It demonstrates, using a 5 x 5 correlation matrix, the application of 5 recently developed modified Bonferroni procedures developed by the following authors: (1) Y. Hochberg (1988); (2) B. S. Holland and M. D.…
Descriptors: Comparative Analysis, Correlation, Hypothesis Testing, Mathematical Models

Palachek, Albert D.; Schucany, William R. – Psychometrika, 1984
The use of U-statistics based on rank correlation coefficients in estimating the strength of concordance among a group of rankers is examined for cases where the null hypothesis of random rankings is not tenable. (Author/BW)
Descriptors: Correlation, Estimation (Mathematics), Hypothesis Testing, Interrater Reliability

Zimmerman, Donald W. – Journal of Experimental Education, 1986
A computer program randomly sampled ordered pairs of scores from known populations that departed from bivariate normal form and calculated correlation coefficients from sample values. Hypotheses were tested (1) that population correlations are zero using the t statistic; and (2) that population correlations have non-zero values using the r to z…
Descriptors: Correlation, Hypothesis Testing, Sampling, Statistical Distributions
Becker, Betsy Jane – 1986
This paper discusses distribution theory and power computations for four common "tests of combined significance." These tests are calculated using one-sided sample probabilities or p values from independent studies (or hypothesis tests), and provide an overall significance level for the series of results. Noncentral asymptotic sampling…
Descriptors: Achievement Tests, Correlation, Effect Size, Hypothesis Testing
Goldhor, Herbert; And Others – 1987
The main purposes of this study were to ascertain something of the quality of in-house use of materials in a science library, and to test the use of interviews as a method of measuring such use. Brief interviews were held with 414 users of the University of Illinois Veterinary Medicine Library (VML) between March 2 and May 13, 1987, to obtain…
Descriptors: Academic Libraries, Correlation, Higher Education, Hypothesis Testing