In this analysis of 1,815 arbitration cases in British Columbia in 1982-85, bias is identified in the bivariate estimates of the probability of management wins by industry and issue. Bivariate estimate errors in these cases can result from failure of estimates to adjust for the effects of omitted variables. (TJH)

Contrasts the monitoring strategies secondary students employ in analytic and summary writing about reading. Finds that both high- and average-ability student writers employ a wide range of metacognitive strategies in writing, and that students vary those strategies both across writing tasks and at different points within the writing process. (MS)

Multivariate and univariate analysis of variance methods (MANOVA and ANOVA, respectively) are compared for their relative value in educational research. The favoritism shown multivariate techniques is questioned. Criteria for the selection of the appropriate technique are outlined. The relationships among research hypotheses, statistical…

The internal correlation--a measure of dependency in a set of variables--is discussed and generalized. Applications of the internal correlation coefficient and its generalizations are given for several data-analytic situations. The internal correlation is illustrated and the concept is expanded to a series of additional indices. (TJH)

Use of internal correlation for statistical analysis--proposed by G. W. Joe and J. L. Mendoza (1989)--is discussed. Focus is on the "content" question (what this application can do with the information that statistics contain) and the "eloquence" question (the advantages of this means of encoding information over other means). (TJH)

Multivariate distributions are studied in which all bivariate regressions can be linearized by separate transformation of each of the variables. A two-stage procedure, first scaling the variables optimally and then fitting a simultaneous equations model, is studied in detail. (SLD)

The impact of language skills on earnings should be measured using multivariate analysis with a model of the earnings determination process. Analysis of data on the 1973 earnings of university graduates revealed that cross-tabular and multivariate results were quite different. The former method attributed other earnings determinants to language…

It is shown that goodness-of-fit criteria developed for the evaluation of multivariate structural models can be applied to assist in evaluating the dimensionality of a test consisting of binary items, and correlative methods regularly used in factor analysis can be employed to diagnose causes of misfit. (Author)

The convergent validity of an abbreviated version of the Children of Alcoholics Screening Test (CAST) was tested and supported. Extends a previous validity study by examining the CAST relationship to a measure that specifically addresses triangulation, individuation, intimacy, and personal authority between children of alcoholics and children of…

Effects of different weighting schemes on selecting the optimal number of observations in multivariate-multifacet generalizability designs are studied when cost constraints are imposed. Comparison of four schemes through simulation indicates that all four produce similar optimal values and that reliability should be similar. (SLD)

Empirically developed multivariate categorization scheme for classifying clients' presenting problems. Counseling clients (n=611) completed Computerized Assessment System for Psychotherapy Evaluation and Research. Identified nine clusters of clients with different types of presenting problems that were stable across subsamples. (Author/NB)

PhD and EdD dissertations were compared for research design, statistics, target populations, significance of results, age of subjects, and other characteristics. Analysis of 1,007 PhD and 960 EdD dissertations found PhD dissertations had more multivariate statistics and wider generalizability. EdD dissertations were more prevalent in educational…

Six stepwise multiple-comparison procedures for repeated-measures means were compared for their overall familywise rates of Type I error when multisample sphericity and multivariate normality were not satisfied. Robust stepwise procedures were identified by Keselman, Keselman, and Shaffer (1991) with respect to three definitions of power. (SLD)

An empirical Bayes-maximum likelihood estimation procedure is presented for the application of fuzzy partition models in describing high dimensional discrete response data. The model describes individuals in terms of partial membership in multiple latent categories that represent bounded discrete spaces. (SLD)

Monte Carlo methods were used to evaluate the degree to which canonical function and structure coefficients may be differentially sensitive to sampling error. For each of 64 research situations, 1,000 random samples were drawn. Both sets of coefficients were roughly equally influenced; some exceptions are noted. (SLD)