Dissonance theory,self-perception and the bogus pipeline

Studied attitude change following counter-attitudinal advocacy where there was little incentive for subject compliance in an attempt to compare dissonance and self-perception theory predictions. The extent of attitude change was determined either by self-report or by having subjects predict their own true attitudes purportedly monitored by the experimenter using a ‘bogus pipeline’. Forty-eight male and female subjects, students from an introductory Psychology course, were invited to take part in a study of Current Campus Issues. They wrote a short statement that argued against an issue for which they had previously held a positive attitude. Results indicate that there was a significant attitude change in both conditions (p < .003). Attitude change under these circumstances is more successfully explained by the self-perception theory than dissonance theory.     

The community mental health center management game: Teaching administrative skills by means of computer simulation

Clinical training in psychology rarely includes the opportunity for students to exercise managerial responsibility for a functioning human service organization. Nevertheless, many clinicians are called upon to assume such decision-making duties, despite their lack of administrative training. This study examines the feasibility of using a computer model of a typical Community Mental Health Center (CMHC) as a training device, permitting clinical students to “manage” a complex social agency over a course of many months of simulated time. The system provides a valuable and interesting supplement to the usual training materials in psychology programs.     

Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A monte carlo study

In order to make the parallel analysis criterion for determining the number of factors easy to use, regression equations for predicting the logarithms of the latent roots of random correlation matrices, with squared multiple correlations on the diagonal, are presented. The correlation matrices were derived from distributions of normally distributed random numbers. The independent variables are log (N–1) and log {[n(n–1)/2]–[(i–1)n]}, whereN is the number of observations;n, the number of variables; andi, the ordinal position of the eigenvalue. The results were excellent, with multiple correlation coefficients ranging from .9948 to .9992.This research was supported by the Office of Naval Research under Contract N00014-67-A-0305-0012, Lloyd G. Humphreys, principal investigator, and by the Department of Computer Science of which Richard G. Montanelli, Jr., is a member.     

The sex by race interaction in cognitive measures

Data consisting of 79 cognitive measures from Project TALENT for 100,000 white and black high school students have been analyzed for possible race by sex interactions. Control variables included geographical area, grade in high school, and socio-economic class. Race by sex interactions are largest when socioeconomic class is controlled and are highly related to the size of the main effect of sex as well. White boys and girls differ more than black boys and girls whether the overall sex difference favors males or females. Sex by grade and, to a lesser extent, sex by area interactions were also moderately large and consistent with the size of the main effect of sex. Since there are no consistent relationships with other main effects, and since the measures producing sex differences also tend to produce the interactions, it is concluded that sex differences and the interactions with sex share the same causes. Differences between these results and those of Jensen are also discussed.