A model for four-mode component analysis is developed and presented. The developed model, which is an extension of Tucker's three-mode factor analytic model, allows for the simultaneous analysis of all modes of a four-mode data matrix and the consideration of relationships among the modes. (Author/JKS)

It is proved for the common factor model that, under certain conditions maintaining the distinctiveness of each factor, a given factor will be determinate if there exists an unlimited number of variables in the model, each having an absolute correlation with the factor greater than some arbitrarily small quantity. (Author/JKS)

Compares presenting data in science to presenting legal evidence. Points out that evidence can be either the thing itself or independent facts about the thing. Indicates that the latter category includes testimonial evidence and circumstantial evidence, both of which can lead to sound conclusions in law or science. (TJ)

A computer program written in BASIC is described which performs one-way analysis of variance based on the mean, standard deviation, and size of each group. Output lists a full analysis of variance table. (Author)

Four hundred eighty-seven citations of the 1976 issues of the Journal of the American Society for Information Science and the Personnel and Guidance Journal were checked for accuracy: total error was 13.6 percent and 10.7 percent, respectively. Error categories included incorrect author name, article/book title, journal title; wrong entry; and…

Presents KANT, a FORTRAN 77 software program that tests assumptions of multivariate normality in a data set. Based on the test developed by M. V. Mardia (1985), the KANT program is useful for those engaged in structural equation modeling with latent variables. (SLD)

This paper illustrates how graphical analyses can enhance the interpretation and understanding of multidimensional item response theory (IRT) analyses. Examples of different graphical representations are presented, including item response surfaces, information vectors, and centroid plots of trait distributions. All graphs are intended to…

Illustrates how commonly available structural equation modeling programs can be used to conduct some basic matrix manipulations and generate multivariate normal data with given means and positive definite covariance matrix. Demonstrates the outlined procedure. (SLD)

Examined two methods for fitting models of intrinsic dynamics to intraindividual variability data by testing these techniques' behavior in equations through simulation studies. Among the main results is the demonstration that a local linear approximation of derivatives can accurately recover the parameters of a simulated linear oscillator, with…

Discusses the problem of data redundancy in a fuzzy relational data model and describes three existing frameworks of fuzzy data representation and redundancy treatment. A new treatment based on Zadeh's extension principle is proposed. (18 references) (MES)

Describes problems of assessing change with short time-series data: unreliability of visual inference and fact that current statistical procedures cannot control Type I error because they underestimate positive autocorrelation. Shows how problems can be solved with new interrupted time-series analysis procedure (ITSACORR) that uses more accurate…

Explores the robustness of conclusions from a statistical model against variations in model choice with an illustration from G. Box and G. Tiao (1973). Suggests that simultaneous consideration of a class of models for the same data is sometimes superior to analyzing the data under one model and demonstrates advantages to Adaptive Bayesian…

A model for multilevel ordinal response data is described that allows for nonproportional odds for a subset of explanatory variables. The model, the multilevel thresholds of change model, focuses on modeling the K-1 thresholds that delineate membership in the "K" ordered stages. The model is illustrated with data from a cancer prevention study.…

Examined six published papers using a theory-based evaluation (TBE) approach. Found that authors of the papers did not always make explicit the relation of their data to the theory of the program. Identified some ways in which TBE contributed to the merit of the evaluation. Outlines lessons for the future of TBE. (SLD)

Compares two statistical approaches for the analysis of data obtained from married couples. Summarizes a current multilevel (or hierarchical) model that has demonstrated usefulness in marital research and respecifies this model into a more familiar structural equation modeling formulation. (SLD)