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Alexander, Ralph A.; And Others – Educational and Psychological Measurement, 1987
This article presents an improved approximation formula for the problem of correcting correlation coefficients that arise from range-restricted distributions on either or both the independent and dependent variable. (BS)
Descriptors: Correlation, Estimation (Mathematics), Mathematical Formulas, Sampling
Peer reviewed Peer reviewed
Fowler, Robert L. – Educational and Psychological Measurement, 1984
This study compared two approximations for normalizing noncentral F distributions: one based on the square root of the chi-square distribution (SRA), the other derived from a cube root of the chi-square distribution (CRA). The CRA was superior, and generally provided an excellent approximation for noncentral F. (Author/BW)
Descriptors: Estimation (Mathematics), Hypothesis Testing, Mathematical Formulas, Probability
Peer reviewed Peer reviewed
Yu, Mimi C.; Dunn, Olive Jean – Educational and Psychological Measurement, 1982
Eight asymptotically robust tests of population correlation coefficient equality are proposed and are studied along with two parametric tests. Monte Carlo simulation is used to compare the small sample performance of these ten procedures. The sampled distributions consist of the normal distribution, two mixed normal distributions and four…
Descriptors: Correlation, Mathematical Formulas, Statistical Distributions, Statistical Significance
Peer reviewed Peer reviewed
Chapman, David W.; And Others – Educational and Psychological Measurement, 1983
This study investigated the validity of Hayes's formula for converting rank-ordered Rokeach Values data to a normal distribution theoretically achieved through the use of rated data. Findings support the validity of Hayes's formula and expand the analytic possibilities of data collected on the Rokeach instrument. (Author/PN)
Descriptors: Adults, Correlation, Mathematical Formulas, Nonparametric Statistics
Peer reviewed Peer reviewed
Edgington, Eugene S.; Haller, Otto – Educational and Psychological Measurement, 1984
This paper explains how to combine probabilities from discrete distributions, such as probability distributions for nonparametric tests. (Author/BW)
Descriptors: Computer Software, Data Analysis, Hypothesis Testing, Mathematical Formulas