Geometrical representation of two methods of linear least squares multiple correlation

Geometrical properties and relationships of the Doolittle and square root methods of multiple correlation, as represented in the variable subspace of an orthogonal person space, are shown. The method of representation is also useful for depicting zero-order and partial correlations, as well as for the more general problem of the combination of variables.     

Some multiple correlation and predictor selection methods

The Doolittle, Wherry-Doolittle, and Summerfield-Lubin methods of multiple correlation are compared theoretically as well as by an application in which a set of predictors is selected. Wherry's method and the Summerfield-Lubin method are shown to be equivalent; the relationship of these methods to the Doolittle method is indicated. The Summerfield-Lubin method, because of its compactness and ease of computation, and because of the meaningfulness of the interim computational values, is recommended as a convenient least squares method of multiple correlation and predictor selection.     

Computer use in psychology instruction

This paper presents the ways in which psychology departments are using microcomputers for instruction, the types of facilities that they are using, and the varieties of hardware that they employ. These data are related to other data reported over the past 10 years. In addition, a summary of the types of software currently available in all areas of psychology is presented, and areas in which there is a need for further software development are identified. The information reviewed in this paper was compiled from the current software listings available through COMPSYCH, as well as the results of a survey distributed to registered users of COMPSYCH who hold academic positions.