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Rosnow, Ralph L.; Rosenthal, Robert – Journal of Counseling Psychology, 1988
Presents the strategic advantages of focused over omnibus tests of statistical significance in counseling research, and demonstrates the utility of interpreting the magnitude of the effect as a way of assessing practical significance (i.e., in addition to computing "p" levels). Gives simple procedures for computing effect size using the…
Descriptors: Counseling, Effect Size, Research Methodology, Statistical Analysis
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Berry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1987
Subroutines to calculate exact chi square and Fisher's exact probability tests are presented for 3 by 2 cross-classification tables. A nondirectional probability value for each test is computed recursively. (Author/GDC)
Descriptors: Computer Software, Probability, Research Design, Statistical Significance
Daniel, Larry G.; Onwuegbuzie, Anthony J. – 2000
This paper proposes a new typology for understanding common research errors that expands on the four types of error commonly discussed in the research literature. Examples are presented to illustrate Type I and Type II errors, errors related to the interpretation of statistically significant and nonsignificant results respectively, with attention…
Descriptors: Classification, Error Patterns, Research Methodology, Research Problems
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Ramsey, Philip H.; And Others – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Computer Programs, Hypothesis Testing, Statistical Significance
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D'Agostino, Ralph B.; Rosman, Bernard – Psychometrika, 1971
Descriptors: Hypothesis Testing, Research Methodology, Statistical Analysis, Statistical Significance
Roberge, James J. – Educ Psychol Meas, 1970
A program for calculating Kendall's tau-a, tau-b, partial tau, coefficient of concordance, coefficient of consistence, and coefficient of agreement is presented. In addition, the program provides tests of significance for each of the coefficients except partial tau. (DG)
Descriptors: Computer Programs, Correlation, Nonparametric Statistics, Statistical Analysis
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Kennedy, John J. – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Probability
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Stoloff, Peter H. – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Statistical Significance
Stallings, William M.; Singhal, Sushila – J Exp Educ, 1969
Descriptors: Hypothesis Testing, Intervals, Probability, Statistical Significance
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Friedman, Herbert – Educational and Psychological Measurement, 1982
A concise table is presented based on a general measure of magnitude of effect which allows direct determinations of statistical power over a practical range of values and alpha levels. The table also facilitates the setting of the research sample size needed to provide a given degree of power. (Author/CM)
Descriptors: Hypothesis Testing, Power (Statistics), Research Design, Sampling
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Thomas, Hoben – Psychometrika, 1981
Psychophysicists neglect to consider how error should be characterized in applications of the power law. Failures of the power law to agree with certain theoretical predictions are examined. A power law with lognormal product structure is proposed and approximately unbiased parameter estimates given for several common estimation situations.…
Descriptors: Mathematical Models, Power (Statistics), Psychophysiology, Statistical Bias
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Stavig, Gordon; Acock, Alan C. – Educational and Psychological Measurement, 1980
Two r coefficients of association are discussed. One of the coefficients can be applied to any nonparametric test statistic (NTS) in which a normal approximation equation is appropriate. The other coefficient is applicable to any NTS in which exact probabilities are known. (Author/RL)
Descriptors: Comparative Analysis, Correlation, Nonparametric Statistics, Statistical Analysis
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Reynolds, Thomas J. – Multivariate Behavioral Research, 1980
Order analysis, a technique to isolate unidimensional hierarchies representing multidimensional structure of binary data, is reviewed. Several theoretical flaws inherent in the probalistic version are presented. Suggestions of possible directions for future research are offered. (Author)
Descriptors: Factor Analysis, Item Analysis, Matrices, Statistical Analysis
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Hakstian, A. Ralph; And Others – Multivariate Behavioral Research, 1980
The procedures yielding confidence intervals for maximized alpha coefficients of Joe and Woodward are reviewed. Confidence interval procedures of Whalen and Masson are next reviewed. Results are then presented of a Monte Carlo investigation of the procedures. (Author/CTM)
Descriptors: Reliability, Research Reviews (Publications), Simulation, Statistical Analysis
Peer reviewed Peer reviewed
Millsap, Roger E.; And Others – Educational and Psychological Measurement, 1990
Sixteen tables are presented for critical values of the larger of two sample correlation coefficients from two independent samples, given the sample size and the value of the smaller correlation. These tables allow quick assessment of significance without requiring calculation of the test statistic. (SLD)
Descriptors: Correlation, Mathematical Models, Sample Size, Statistical Significance
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