The growth of literature about cluster analysis is studied through an intensive analysis of the work by Johnson, Tryon, and Ward. A history of their ideas of men is discussed, and comments are made about cognitive vs, noncognitive factors influencing the growth of interest in cluster analysis. (Author/JKS)

A linear combination of a set of measures is often sought as an overall score summarizing subject performance. The weights in this composite can be selected to maximize its reliability or to maximize its validity, and the optimal choice of weights is in general not the same for these two optimality criteria. We explore several relationships…

The advantages and disadvantages of balanced incomplete block designs are clarified and their use is demonstrated with an empirical example. A procedure for reducing data of this type to analyzable form is proposed, and an analytical approach that is appropriate for the resulting data is illustrated. (Author/BW)

Dynamic factor models have been used to analyze continuous time series behavioral data. We extend 2 main dynamic factor model variations--the direct autoregressive factor score (DAFS) model and the white noise factor score (WNFS) model--to categorical DAFS and WNFS models in the framework of the underlying variable method and illustrate them with…

MAXCOV-HITMAX was invented by Paul Meehl as a tool for the detection of latent taxonic structures (i.e., structures in which the latent variable, u, is not continuously, but rather Bernoulli, distributed). It involves the examination of the shape of a certain conditional covariance function and is based on Meehl's claims that (R1) Taxonic…

Classical methods for detecting outliers deal with continuous variables. These methods are not readily applicable to categorical data, such as incorrect/correct scores (0/1) and ordered rating scale scores (e.g., 0,..., 4) typical of multi-item tests and questionnaires. This study proposes two definitions of outlier scores suited for categorical…

Psychology texts, dating from 1940, are examined to assess the impact of Raymond B. Cattell's work on the fields of social psychology and group dynamics. Factors contributing to his surprising lack of influence, including difficulties with the complexity, terminology, and independent nature of his work and personality, are discussed. (BS)

This article overviews and evaluates Raymond B. Cattell's integration of psychology and ethics. It describes his views on the psychological bases of individual morality and values: superego strength, motivation, and religious sentiment. Cattell's proposed ethical system, Beyondism, based on scientific method rather than rationality alone, is also…

Examines intrinsic individual differences in conceptual behavior with a multivariate model, three mode factor analysis. The analyses yielded five individual difference performance factors, three stage factors, and four response components indicating the importance of a multivariate representation of complex behavior. (Author/DEP)

Multivariate permutation tests are described, and some are suggested as substitutions for Hotelling's one-sample T2 test in common situations in behavioral science research. A Monte Carlo study shows advantages of these tests when the T2 test fails or is suspect. (SLD)

A method is presented that eliminates some interpretational limitations arising from assumptions implicit in the use of arbitrary rules of thumb to interpret exploratory factor analytic results. The bootstrap method is presented as a way of approximating sampling distributions of estimated factor loadings. Simulated datasets illustrate the…

How a cluster analysis is conducted, validated, and interpreted is illustrated using a 14-scale behavioral assessment instrument and a national sample of 1,228 elementary school students. Method, cluster typology, validity, cluster structure, and prediction of cluster membership are discussed. (Author/SLD)

The nonlinear random coefficient model has become increasingly popular as a method for describing individual differences in longitudinal research. Although promising, the nonlinear model it is not utilized as often as it might be because software options are still somewhat limited. In this article we show that a specialized version of the model…

Fuzzy trace theory posits that during development the use of verbatim information for solving transitive relationships shifts to the use of gist information. In cognitive developmental research that uses a cross-sectional design, the binomial mixture model is often used to identify such shifts. Because the binomial mixture model assumes equal task…

Repeated measures and longitudinal studies arise often in social and behavioral science research. During the planning stage of such studies, the calculations of sample size are of particular interest to the investigators and should be an integral part of the research projects. In this article, we consider the power and sample size calculations for…