Demonstrates the falsity of the notion that sequential strategies permit the separation of age, cohort, and time-of-measurement contributions to developmental change. (JMB)

The author discusses the emergence of multivariate statistical methods, presents selected methods (functional and structural) and their applications, and discusses some practical guidelines and limitations concerning their use in health research. (MJB)

This paper reports on case study that investigated the development of mainly tacit and mainly explicit components of knowledge of area measurement of a student-pair. The research covered two terms or periods of the students' learning of the subject: when they were aged 11 to 12 and when they were aged 12 to 13. The data analysis was based on…

The paper examines the various ways that qualitative researchers can use and interpret numbers, official statistics, and other quantitative data. It puts forth the position that qualitative researchers, in their quest for understanding, have too often viewed official statistics with only a cursory or descriptive analysis without deeper reflection…

The difference between statistical significance and substantive significance is discussed. (DB)

The creative researchers may find that one of the more intriguing aspects in his involvement with research tools is to examine them in a way, or for a purpose, for which they were not originally intended. (MF)

Miller and Farr's algorithm for the index of redundancy is shown to be incorrect by means of a counterexample. The consequences of this error for other conclusions drawn by the authors are discussed. (Author/JKS)

The multivariate stochastic processes associated with the Marshall-Olkin multivariate exponential distribution are shown to be able to generate several models of similarity or preference data in the literature. (JKS)

An evaluation of several clustering methods was conducted in which an artificially generated true cluster structure was hidden by the addition of various errors. Results for hierarchical models were mixed, but two nonhierarchical procedures produced satisfactory recovery of clusters and sufficient robustness with respect to various error types.…

Briefly describes new mathematical applications to geological problems, such as the modeling of geological processes, automatic map interpretation, and segmenting sequential data. (MLH)

Various types of finite mixtures of confirmatory factor analysis models are proposed for handling data heterogeneity. Proposed classes of mixture models differ in their unique representations of data heterogeneity, and three sampling schemes for these mixtures are distinguished. Advantages of the Approximate Scoring method are outlined. (SLD)