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Terrell, Colin D. – Educational and Psychological Measurement, 1982
A table is presented that directly converts any known point biserial coefficient to the biserial coefficient, providing the largest proportion of the dichotomous variable is also known. (Author)
Descriptors: Computation, Correlation, Data Analysis, Mathematical Formulas

Roth, Gary L.; Daniel, Wayne W. – Educational and Psychological Measurement, 1978
A table of critical values is presented for use with Chacko's ordered alternatives test for the analysis of variance. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Statistical Data
Tables for Determining the Minimum Incremental Significance of the Multiple Correlation Coefficient.

Dutoit, Eugene F.; Penfield, Douglas A. – Educational and Psychological Measurement, 1979
Assuming a multiple linear regression model with q independent variables, a procedure is developed for determining the minimum statistically significant increase in the multiple correlation coefficient when an additional independent variable is considered for regression. The procedure is presented analytically and in table form. Examples are…
Descriptors: Correlation, Multiple Regression Analysis, Predictor Variables, Tables (Data)

Zalinski, James; And Others – Educational and Psychological Measurement, 1979
A set of tables for determining tetrachoric correlations is presented. The coefficients have been determined to three-decimal accuracy. (JKS)
Descriptors: Correlation, Expectancy Tables, Nonparametric Statistics, Tables (Data)

Terrell, Colin D. – Educational and Psychological Measurement, 1982
Tables are presented giving the critical values of the biserial and the point biserial correlation coefficients (when the null hypothesis assumes a value of zero for the coefficient) at the 0.05 and the 0.01 levels of significance. (Author)
Descriptors: Correlation, Mathematical Formulas, Probability, Research Tools

Hinkle, Dennis E.; Oliver, J. Dale – Educational and Psychological Measurement, 1983
In this paper, tables for the appropriate sample sizes are presented and discussed in the context that the determination of the effect size must precede the determination of the sample size. (Author/PN)
Descriptors: Effect Size, Research Methodology, Research Needs, Research Problems

Aiken, Lewis R. – Educational and Psychological Measurement, 1985
Three numerical coefficients for analyzing the validity and reliability of ratings are described. Each coefficient is computed as the ratio of an obtained to a maximum sum of differences in ratings. The coefficients are also applicable to the item analysis, agreement analysis, and cluster or factor analysis of rating-scale data. (Author/BW)
Descriptors: Computer Software, Data Analysis, Factor Analysis, Item Analysis