An individual differences model for multiple regression

A model for multiple regression was developed which allows individual differences to emerge empirically. The model encompasses as special cases several of the previous attempts to improve psychological prediction by deviating from the usual linear multiple regression model. The model is tested with both artificial and real data. The results indicate that the model effectively reduces the variance of the error of prediction, and that the weights obtained are stable over different samples, and, to some extent, over different sets of predictors.This article is based upon a thesis submitted in partial fulfillment of the requirements for the doctoral degree at the University of Illinois. The author thanks Professor Ledyard R Tucker who served as committee chairman and offered considerable support and assistance.     

An Existential View Of Vocational Development

The paper is an attempt to point out that the literature of existential philosophy has produced a meaningful theory of vocational development. The theory not only appears to be cogent, but also lines up closely with current thinking in the field. The contrast with various authors is an attempt to illucidate through similarity the ultimate ramifications of the existential theory. An equally important aspect of this theory is that within it one discovers an explanation of work alienation. Finally, there is every reason to believe that the existentialists have produced only a small portion of the potential theoretical model.     

Some physical determinants of viewing time under three instructional sets

One-hundred fifty human Ss viewed 32 patterns under neutral (N), pleasingness (P), or interestingness (l) instructional sets. An analysis of variance indicated that patterns with larger areas were viewed longer than patterns with smaller areas under all conditions; however, this effect was more pronounced under the P and I conditions than under the N condition. Patterns containing 9-sided shapes were viewed longer than those containing 3-sided shapes under the N and I conditions, while the reverse was true for the P condition.     

Regression effect in psychophysical judgment

Psychophysical judgment, like all other kinds of judgment, involves a matching or equating of two different domains. When the judgment involves the matching of values on two perceptual continua, the observer tends, on the average, to constrict the range of his adjustments on whichever variable is placed under his control. When the observer adjusts each variable in turn, two different regression lines are produced. This regression effect presumably occurs whenever the results of the matching judgments yield less than a perfect correlation. Illustrative examples are given for the continua, loudness, vibration, brightness, and duration.