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Clintin P. Davis-Stober; Jason Dana; David Kellen; Sara D. McMullin; Wes Bonifay – Grantee Submission, 2023
Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…
Descriptors: Research Methodology, Sample Size, Effect Size, Hypothesis Testing
Suero, Manuel; Privado, Jesús; Botella, Juan – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
A simulation study is presented to evaluate and compare three methods to estimate the variance of the estimates of the parameters d and "C" of the signal detection theory (SDT). Several methods have been proposed to calculate the variance of their estimators, "d'" and "c." Those methods have been mostly assessed by…
Descriptors: Evaluation Methods, Theories, Simulation, Statistical Analysis
Osler, James Edward; Mansaray, Mahmud A. – Journal of Educational Technology, 2013
The online deployment of Technology Engineered online Student Ratings of Instruction (SRIs) by colleges and universities in the United States has dynamically changed the deployment of course evaluation. This research investigation is the fourth part of a post hoc study that analytically and psychometrically examines the design, reliability, and…
Descriptors: Course Evaluation, Educational Technology, Black Colleges, Higher Education
Peer reviewedMartin, Charles G.; Games, Paul A. – Journal of Experimental Education, 1981
Power and stability of Type I error rates are investigated for the Box-Scheffe test of homogeneity of variance with varying subsample sizes under conditions of normality and nonnormality. The test is shown to be robust to violation of the normality assumption when sampling is from a leptokurtic population. (Author/GK)
Descriptors: Hypothesis Testing, Mathematical Formulas, Statistical Analysis
Peer reviewedMorrow, James R.; Hopkins, Kenneth D. – Journal of Experimental Education, 1979
The F-distribution approximation suggested by Dixon was investigated at various combinations of alpha and degrees of freedom. Tabled values were compared with values computed utilizing the suggested formula. (Author/GSK)
Descriptors: Hypothesis Testing, Mathematical Formulas, Statistical Analysis
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
Peer reviewedGordon, Leonard V. – Educational and Psychological Measurement, 1973
A simple shortcut procedure for analysis of variance is presented using the means, standard deviations, and number of cases in each sample directly. (Author/NE)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Statistical Analysis
Peer reviewedHumphreys, Lloyd G. – Journal of Educational Psychology, 1980
Many researchers, including Buriel (EJ 187 987), incorrectly compared the results in each study with null hypotheses of zero differences between means or zero population correlations. Instead, a test of difference between the mean differences in the two samples or the direct comparison of the two sample correlations is required. (Author/CP)
Descriptors: Comparative Analysis, Correlation, Hypothesis Testing, Mathematical Formulas
Peer reviewedStavig, Gordon R. – Perceptual and Motor Skills, 1982
To modify least squares estimators so that outliers arising from heavy-tailed distributions will have less influence, a robust coefficient of kurtosis, which avoids the quartic effect, is described. Aspects of Pearson's and Fisher's kurtosis coefficients are compared in the procedure. (Author/CM)
Descriptors: Estimation (Mathematics), Hypothesis Testing, Least Squares Statistics, Mathematical Formulas
Peer reviewedAlgina, James; Olejnik, Stephen F. – Educational and Psychological Measurement, 1984
The Welch-James procedure may be used to test hypothesis on means, when independent samples from populations with heterogenous variances are available. Summation formulas for the Welch-James procedure are presented for the 2x2 design. Matrix formulas that permit routine application of the procedure to crossed factorial designs are presented.…
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Matrices
Peer reviewedCharter, Richard A. – Educational and Psychological Measurement, 1982
Practical formulas for several analysis of variance (ANOVA) designs and models are presented which make it possible for readers to compute strength of association measures without the use of complete ANOVA tables. (Author/PN)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Mathematical Models
Holland, Paul W.; Thayer, Dorothy T. – 1986
The Mantel-Haenszel procedure (MH) is a practical, inexpensive, and powerful way to detect test items that function differently in two groups of examinees. MH is a natural outgrowth of previously suggested chi square methods, and it is also related to methods based on item response theory. The study of items that function differently for two…
Descriptors: Comparative Analysis, Hypothesis Testing, Item Analysis, Latent Trait Theory
Peer reviewedConquest, Loveday L. – Environmental Monitoring and Assessment, 1993
Presents two statistical topics and examples of their use in natural resource monitoring. The first topic deals with use of correlated observations in calculations of variance estimates for a regional mean, required sample size determination, and confidence intervals. The second topic concerns the use of Bayesian techniques in hypothesis testing.…
Descriptors: Bayesian Statistics, Environmental Education, Environmental Research, Evaluation Methods
Dunivant, Noel – 1979
Eight different methods are reviewed for determining whether two or more tests are equivalent measures. These methods vary in restrictiveness from the Wilks-Votaw test of compound symmetry (which requires that all means, variances, and covariances are equal), to Joreskog's theory of congeneric tests (which requires only that the tests are measures…
Descriptors: Analysis of Variance, Comparative Analysis, Error of Measurement, Evaluation Methods

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