Logically consistent hypothesis-testing for factorial analysis of variance designs is proposed in the context of a hierarchical model. It is shown that all of the hypotheses associated with the traditional factorial model are conceptually independent and occupy the lowest levels of the hierarchy. (Author/JKS)

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)

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 use of Bayesian and empirical Bayesian techniques to summarize results from parallel randomized experiments is illustrated using the results of eight such experiments from an SAT coaching study. Graphical techniques, simulation techniques, and methods for monitoring the adequacy of model specification are highlighted. (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)