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| Educational and Psychological… | 5 |
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| Edgington, Eugene S. | 1 |
| Haller, Otto | 1 |
| MacIntosh, Randall | 1 |
| Pascale, Pietro J. | 1 |
| Smith, Joseph | 1 |
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| Journal Articles | 5 |
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Peer reviewedMacIntosh, Randall – Educational and Psychological Measurement, 1997
Presents KANT, a FORTRAN 77 software program that tests assumptions of multivariate normality in a data set. Based on the test developed by M. V. Mardia (1985), the KANT program is useful for those engaged in structural equation modeling with latent variables. (SLD)
Descriptors: Computer Software, Data Analysis, Structural Equation Models
Peer reviewedPascale, Pietro J.; Smith, Joseph – Educational and Psychological Measurement, 1986
This paper presents a BASIC microcomputer program that constructs the Tukey (1977) stem and leaf graph. Options within the LEAF program include a modified stem and leaf where the stem is split and a parallel stem and leaf graph where two separate sets of data are displayed from a common stem. (Author)
Descriptors: Computer Graphics, Computer Software, Data Analysis, Input Output
Peer reviewedArthur, Winfred, Jr.; And Others – Educational and Psychological Measurement, 1994
Effects of choice of data analysis program on outcomes of meta-analysis were studied by considering the extent to which four commonly used Schmidt and Hunter validity generalization-based meta-analytic software programs produce identical outcomes. Differences were minor and did not influence outcomes. (SLD)
Descriptors: Computer Software, Data Analysis, Educational Research, Generalization
Peer reviewedEdgington, 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
Peer reviewedAiken, 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


