A calculational strategy presented in educational statistics texts for computing second and higher order semipartial correlations is critically examined and shown to be incorrect. (Author)

The interrelationships among within-aggregate, between-aggregate, and total-group correlation coefficients are summarized with artificial and real-data examples. The relevance of correlation analyses at various levels of aggregation and some of the difficulties encountered in cross-level inference are also discussed. (Author/JKS)

Statistical techniques for summarizing results from independent correlational studies are presented. The case in which only the sample correlation coefficients are available and the case in which the original paired data are available are both considered. (Author/JKS)

Illustrates a simple nonparametric alternative that can be used to test a hypothesis that two proximity matrices on the same set of variables or objects reflect a similar pattern of high and low entries. (RC)

Makes a distinction in methodological work between building and applying statistical models for the processes that generate data for the social sciences and applying that data to available statistical methods. Agrees with Freeman that researchers need to think more about underlying social processes. (RB)