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Saville, David J.; Rowarth, Jacqueline S. – Journal of Natural Resources and Life Sciences Education, 2008
This article reviews and discusses the use of statistical concepts in a natural resources and life sciences journal on the basis of a census of the articles published in a recent issue of the "Agronomy Journal" and presents a flow chart and a graph that display the inter-relationships between the most commonly used statistical terms. It also…
Descriptors: Flow Charts, Biological Sciences, Comparative Analysis, Natural Resources
Peer reviewedCox, Myron K.; Key, Coretta H. – Educational and Psychological Measurement, 1993
A model is presented for multiple pairwise comparisons of selected categories (cells) of a contingency table after the chi-square test has rejected the null hypothesis of equality of population proportions. The model determines which, if any, pairwise proportions have led to the rejection. (SLD)
Descriptors: Chi Square, Classification, Comparative Analysis, Hypothesis Testing
Peer reviewedQuintana, Stephen M.; Maxwell, Scott E. – Journal of Educational Statistics, 1994
Seven univariate procedures for testing omnibus null hypotheses for data gathered from repeated measures designs were evaluated, comparing five alternative approaches with two more traditional procedures. Results suggest that the alternatives are improvements. The most effective alternate procedure in controlling Type I error rates is discussed.…
Descriptors: Comparative Analysis, Hypothesis Testing, Monte Carlo Methods, Research Methodology
Peer reviewedFowler, Robert L. – Educational and Psychological Measurement, 1987
This paper develops a general method for comparing treatment magnitudes for research employing multiple treatment fixed effects analysis of variance designs, which may be used for main effects with any number of levels without regard to directionality. (Author/BS)
Descriptors: Analysis of Variance, Comparative Analysis, Effect Size, Hypothesis Testing
Convey, John J. – 1979
The testing of a priori contrasts, post hoc contrasts, and experimental error rates are discussed. Methods for controlling the experimental error rate for a set of a priori contrasts tested simultaneously have been developed by Dunnett, Dunn, Sidak, and Krishnaiah. Each of these methods is discussed and contrasted as to applicability, power, and…
Descriptors: Comparative Analysis, Hypothesis Testing, Literature Reviews, Mathematical Models
Blumstein, Alfred; Cohen, Jacqueline – Evaluation Quarterly, 1979
Evaluations involving nonrandom assignment to treatment or control groups are vulnerable to an accidental or intentional confounding of a selection effect with the treatment effect. Two techniques, discriminant analysis and base expectancy analysis, permit separate estimation of the selection and treatment effects in the final results. (Author/CTM)
Descriptors: Comparative Analysis, Discriminant Analysis, Hypothesis Testing, Research Design
Routon, John Randy – 1977
This study was undertaken to identify the differences between asthmatic and nonasthmatic children, ages nine through twelve, on self-concept and attitudes toward physical education. It was anticipated that children having an asthmatic condition might reflect significantly different scores from their nonasthmatic peers at least partially…
Descriptors: Asthma, Comparative Analysis, Data Analysis, Elementary Education
Robey, Randall R.; Barcikowski, Robert S. – 1986
This paper reports the results of a Monte Carlo investigation of Type I errors in the single group repeated measures design where multiple measures are collected from each observational unit at each measurement occasion. The Type I error of three multivariate tests were examined. These were the doubly multivariate F test, the multivariate mixed…
Descriptors: Analysis of Variance, Behavioral Science Research, Comparative Analysis, Hypothesis Testing
Chang, Lin; Becker, Betsy Jane – 1987
Data drawn from 30 journal articles and ERIC documents reporting on gender differences in natural science achievement were re-examined. Three meta-analysis methods were used: (1) vote counts and vote-counting estimation procedures; (2) tests of combined significance; and (3) analyses of effect sizes. The three methods produced seemingly…
Descriptors: Academic Achievement, Comparative Analysis, Effect Size, High Schools
Hummel, Thomas J.; Johnston, Charles B. – 1986
This study investigated seven methods for analyzing multivariate group differences. Bonferroni t statistics, multivariate analysis of variance (MANOVA) followed by analysis of variance (ANOVA), and five other methods were studied using Monte Carlo methods. Methods were compared with respect to (1) experimentwise error rate; (2) power; (3) number…
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Differences
Frick, Theodore W. – 1986
The sequential probability ratio test (SPRT), developed by Abraham Wald, is one statistical model available for making mastery decisions during computer-based criterion referenced tests. The predictive validity of the SPRT was empirically investigated with two different and relatively large item pools with heterogeneous item parameters. Graduate…
Descriptors: Achievement Tests, Adaptive Testing, Classification, Comparative Analysis

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