The use of structural equation modeling (SEM) with latent variables to address measurement error and to examine processes that may account for changes in observed outcomes in data from experimental studies is illustrated. An example from a Project Family study is provided; issues that arise in applying SEM procedures are discussed. (Author/EMK)

Calls attention to limitations and dangers in routine application of multivariate analysis of variance (MANOVA), describes some alternative procedures, and laments the necessarily pervasive character of the statistical problem. (Author)

Presents several multivariate analyses of variance (MANOVA) test procedures. Discusses guidelines for choosing an overall MANOVA test statistic and post hoc tests that determine the dependent variable or variables responsible for any significant effects. Concludes that guidelines based on recent comparisons of the various test statistics be used.…

Statistical methods related to Rasch modeling, social network analysis, and latent variable structural equation modeling for experimental designs are critiqued with regard to three important issues: (1) measuring constructs; (2) modeling processes of change; (3) operationalizing social relations. An argument is made for adequate conceptualization…

Major changes in the methods and contents of research are needed. Promising trends in the design and conduct of studies include: (a) macroscopic rather than microscopic levels of study; (b) field rather than laboratory studies; (c) focusing on the total individual; (d) developing a contractual relationship between researcher and subject. (Author)