Computer generated data representative of 16 Auto Regressive Integrated Moving Averages (ARIMA) models were used to compare the results of interrupted time-series analysis using: (1) the known model identification, (2) an assumed (l,0,0) model, and (3) an assumed (3,0,0) model as an approximation to the General Transformation approach. (Author/BW)

Repeated measures designs have traditionally been analyzed by the univariate mixed model approach, in which the repeated measures effect is tested against an error term based on the subject by treatment interaction. This paper considers an extension of this analysis to designs in which the individual repeated measures are multivariate. (Author/JKS)

A method is presented that allows multivariate comparability while making only minimal restrictions on randomization. This procedure is demonstrated in the context of assigning 63 aggregated units (schools) to 28 experimental and control conditions. Good comparability of groups for all primary main effects and interactions was verified for 15…

This examination of data selection preceding multivariate analysis compares results grained with "gentle" and "draconian" variable elimination. To acquire comparable results, two stages of statistical exploration into an integrated model of motivation, learning strategies, and quality of teaching were used. The goal of the…

This paper contains information concerning the following: 1. An overview of multivariate analysis of variance, and discriminant (DA) and canonical (CA) analyses. 2. An introduction to specification and measurement errors, and collinearity. 3. The sparsity of information concerning specification and measurement errors and collinearity as they…

In the geometrical construct of the MANOVA, the dimensions of interest are primarily those of the significant canonical variates, rather than either those of the original n variables or even the total possible canonical variates. (Authors)

The dangers of overlooking time-honored cautions in the making causal interpretations of data analyses from correlational studies when using highly sophisticated computer programs and their associated techniques are discussed. (JKS)

This study examined characteristics of and variables associated with the acceptance of abstracts submitted to the Adult Education Research Conference in 1978, 1979, and 1980. By reliably measuring the characteristics of abstracts, it has generated data that will allow future researchers to make relevant comparisons. (JOW)

Multivariate generalizability techniques are used to bridge the gap between psychometric constraints and the tables of specifications needed in test development. Techniques are illustrated with results from the American College Testing Assessment Program. (Author/PN)

The contribution of facet theory to applied psychological research is shown to be its ability to define problems and the solutions to them in terms relevant to those wishing to make practical use of research findings. Three examples illustrate the use of facet theory in applied research. (Author/CM)

An analytic procedure is presented which casts sequential moderator analysis in the role of a multivariate test of parallelism of regressions. The procedure addresses a test for comparing predictor-criterion relationships for one set of measurements or multiple predictors and repeated measurements on a criterion. (Author/PN)

Demonstrated that several quantifiable characteristics of articles in the marriage and family area are substantially related to subsequent impact in the field, based on bibliometric citation analysis. Works published by the more eminent, highly cited scholars are more likely to be cited. Implications of these results are discussed. (Author)

The Home Observation for Measurement of the Environment (HOME) underwent a generalizability study examining the consistency and stability of scores. Canonical correlation and principal components factor analysis indicated that the organization of environment changes over the first two years of life, and the amount--not type--of stimulation is…

A data analysis model called CANDELINC performs a broad range of multidimensional data analyses. The model allows for the incorporation of general linear constraints. Several examples are presented. (JKS)

For men life satisfaction was related to age stage in a monotonic increasing fashion. Life satisfaction scores remained relatively constant across the age stages for women. Family life and standard of living were found to be significant determinants of life satisfaction, for both sexes at each stage of adulthood. (Author)