Estimated Type I Error rates and power are reported for the Brown-Forsythe, O'Brien, Klotz, and Siegal-Tukey procedures. The effect of aligning the data using deviations from group means or group medians is investigated. (RB)

Observed percentiles provide better estimates when they are based on grouped data rather than on raw data. This is especially true when the data set is relatively small and the population distribution is not too skewed or heavy-tailed. Applied statisticians could take advantage of this fact by implementing a program for estimating percentiles from…

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)

Presents an exposition of two data reduction methods--single-link and complete-link hierarchical clustering. Emphasis is on statistical techniques for evaluating the adequacy of a completed partition hierarchy and the individual partitions within the sequence. A numerical reanalysis of data illustrates the methodology. (RC)

Suggests that improving the data collected for a study will lead to the development of better models to analyze that data. Also urges researchers to have a more critical attitude toward the literal interpretation of test results. (RB)

Data evolving from processes which are developmental or hierarchical in nature are often analyzed by using latent class or latent structure models. A procedure for estimating such models when the model is not "identifiable" is presented. (JKS)

Comments on the uses of statistical analysis in social sciences within the context of Freedman's "As Other's See Us: A Case Study in Path Analysis." Points out that there is an unacknowledged gap between statistical principles and the data analysis that social scientists use. (RB)

Examines D. A. Freedman's criticism of path analysis, agreeing with Freedman's criticism of its application to nonexperimental data in the social sciences. Argues that Freedman's overall conclusions, however, are too pessimistic. (RB)

The evaluation of competing analysis strategies based on estimator bias and variance is demonstrated using gains in standard scores and analysis of covariance procedures for quasi-experiments conforming to the fan-spread hypothesis. The findings do not lead to a uniform recommendation of either approach. (Author/JKS)

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)

Focuses on the fact that an educational treatment typically involves an intervention in a growth process. By modelling this process, expected growth for various treatment groups under control conditions may be estimated. Actual growth can be compared with projected growth to estimate the value-added by the program. A simple model is developed. (RC)