An investigation of the effects of randomly missing data in two-predictor regression analyses is described. The differences in the effectiveness of five common treatments of missing data on estimates of R-squared values and each of the two standardized regression weights is also investigated. Bootstrap sample sizes of 50, 100, and 200 were drawn…

Analyzes data from lengthy profile questionnaires completed by 78 managers and 407 of their subordinates and examines how five different management styles are related to various aspects of the contingent situation. (Available from Subscription Section, American Psychological Association, 1200 Seventeenth Street, N.W., Washington, D.C.; $30.00…

Many data analysis problems in psychology may be posed conveniently in terms which place the parameters to be estimated on one side of an equation and an expression in these parameters on the other side. A rule for improving the rate of convergence of the iterative solution of such equations is developed and applied to four problems. (Author/RC)

A study was conducted which partially tested the validity of assumptions of the Coordinated Management of Meaning (CMM) based model of communication competence. Two research questions were explored: (1) how well can a CMM-based model predict an individual's perceived communication competence in a given context? and (2) how is an individual…

The behavior of two real-time computer simulation models of melody recognition was compared with the performance of human subjects in this study. One of the models, INT1, recognized melodies by comparing specific intervals with stored intervals. The other model, CONT1, performed by comparing the contour of the stimulus melody with an array of…

In almost all applications of measurement there is some sort of response by a human subject. Almost always, the response scale is ordinal, but almost always it is treated as if it were an interval measure. Methods for treating data ordinally are currently being developed in three areas: ordinal analysis for questionnaire responses, ordinal…

In this article the results from six states in Australia involved in a cross-national analyses of an IEA Science Project are regarded as replications, on the basis of which general statements are made about learning conditions associated with the performance in science of Australian students. (Author/RK)

Experimental studies indicate that the primary determinant of changes in sexual and aggressive behavior following alcohol consumption is expectancy. Multiple regression analyses were performed on the responses of 100 college students to an alcohol-expectancy questionnaire to determine how expectations for sexual and aggressive behavior following…

The multiple regression or general linear model (GLM) is a parameter estimation and hypothesis testing model which encompasses and approaches the more familiar fixed effects analysis of variance (ANOVA). The transition from ANOVA to GLM is accomplished, roughly, by coding treatment level or group membership to produce a set of predictor or…

The study deals with the job component method of establishing compensation rates. The basic job analysis questionnaire used in the study was the Position Analysis Questionnaire (PAQ) (Form B). On the basis of a principal components analysis of PAQ data for a large sample (2,688) of jobs, a number of principal components (job dimensions) were…

Considerable thought, research, and concern has been expanded in an effort to determine whether the assumption of a quadratic relation between a single predictor and a criterion violated the assumptions which Johnson and Neyman (1936) state for calculating regions of significance about interacting regressions. In particular, there has been special…

This paper discusses Bayesian m-group regression where the groups are arranged in a two-way layout into m rows and n columns, there still being a regression of y on the x's within each group. The mathematical model is then provided as applied to the case where the rows correspond to high schools and the columns to colleges: the predictor variables…

Stochastic approximation algorithms for least square error approximation to density and distribution functions are considered. The main results are necessary and sufficient parameter conditions for the convergence of the approximation processes and a generalization to some time-dependent density and distribution functions. (Author)

This study involved two phases: first when classification was based on the calibration sample, and second in a cross-validation setting. Computer-generated data were used. Results obtained from rules based on probabilities of group membership were compared for accuracy when classifying in the discriminant space and in the predictor variable…