A DEFENSE OF "RATIONAL" PERSONNEL SELECTION, AND TWO NEW METHODS

This paper presents two new techniques for use in personnel selection. One is a simple graphical technique which non-technical personnel can use to help in deciding how many minority applicants to admit to an institution. The other is a large-scale computer technique which an institution can use to increase personnel diversity on many variables (including culture) simultaneously. Both techniques appear to have major advantages over the particular technique this author advocated previously (1971). However, the new techniques are based on the same general view the author has expressed earlier (1971, 1973): that personnel selection questions concerning culture must be handled rationally—that is, by human judgment—rather than by mechanical formulas. Early sections of the paper summarize and defend that view.     

Effects of the model's skill level on observational motor learning.

Observation of a model prior to physical practice often facilitates the acquisition of motor skills. The majority of research studies on observational motor learning has used a skilled model for the demonstration. Recent research, however, suggests that observing an unskilled (learning) model may also be effective. The experiment reported here compared motor skill acquisition following observation of a learning model or a skilled model to the performance of subjects who lacked the benefit of observation. The task was to play a computer tracking game. Subjects were tested in pairs. Observers watched either a skilled or a learning model perform 3 trials. The observers then practiced the game for 3 trials. Observation of another 12 trials was followed by 12 more practice trials. Substantial observational learning was found, as both groups of observers performed better than the learning models after both the 3 initial trials of observation and after 12 more observation trials. However, there were no differences due to observing the skilled or the learning model. These findings are discussed in relation to theoretical issues of observational learning.