Applied meta-analytic techniques to data derived from a collection of 26 studies relating to sex roles and mental health to find the average magnitude and direction of the correlation. Results indicated that masculine and androgynous subjects were associated with higher levels of mental health than feminine counterparts. (JAC)

If the null hypothesis of a one-sample test of multivariate means is rejected, the dimension of the line joining the population centroid and the hypothesized centroid can be interpreted with a linear function, using a discriminant function and the correlation of each dependent variable with a discriminant score. (Author/BW)

Cattell's scree test and Bartlett's chi-square test for the number of factors to be retained from a factor analysis are shown to be based on the same rationale, with the former reflecting subject sampling variability, and the latter reflecting variable sampling variability. (Author/JKS)

Generalizability theory is used to characterize and quantify expected variance in cutting scores and to compare the Nedelsky and Angoff procedures for establishing a cutting score. Results suggest that the restricted nature of the Nedelsky (inferred) probability scale may limit its applicability in certain contexts. (Author/BW)

The authors contend that most research in education lacks statistical power. They feel that the poor use of statistics as a tool for enhancing internal validity must be remediated. The adoption of a new convention is proposed in order to put statistical certainty into reasonable perspective. (RLV)

It has been shown that the degree of restriction of range taken into account in testing the hypothesis that rho equals zero, entails risks of incorrect inferences. It is argued that an alternative is to disregard the restriction of range and to use the common t-statistics proposed by regression theory. (Author/JKS)

Social scientists have available a wide array of techniques for the analysis of complex contingency tables. Considerations in choosing from among the techniques are discussed. The theme emphasized here is that the analyst should evaluate the techniques within the context of the substantive questions of the study. (Author/JKS)

Two forms, pure-rank and mixed-rank, of a nonparametric, general, linear model-based statistic that can be used to test several hypotheses are presented. A Monte Carlo study was used to investigate the distributional properties of these forms, and their use is discussed. (SLD)

Presents strengths and limitations of covariance structure analysis (CSA), statistical procedure for testing hypotheses about relations among psychological constructs, as way to test structural hypotheses that are not tested adequately with other statistical procedures. Provides two empirical examples that illustrate use of CSA for evaluating…