Self-focused attention and reactions to conflicting standards

A fundamental postulate of self-awareness theory that has received considerable empirical support is that self-focused attention increases behavioral consistency with “standards of correctness.” This appears to be true whether the standards are internal (such as attitudes or values) or external (e.g., norms). There is some question, however, as to what happens in situations in which an important personal standard conflicts with a salient external standard. Research by E. Diener and T. K. Srull (Journal of Personality and Social Psychology, 1979, 37, 413–423) has suggested that under such circumstances the social standard is likely to predominate. However, there is reason to believe that the standards employed in their study may not have been very salient nor very important to the subjects. In the present experiment, subjects with either conservative or liberal sexual attitudes were exposed to information suggesting a prevailing norm of sexual liberalism. They were then asked to respond to a number of sexual and nonsexual attitude measures while their attention was or was not self-directed by means of a mirror. Primary results indicated that self-awareness enhanced conformity to the social standard (as in Diener & Srull, 1979) for the conservative subjects; however, correlational analyses within the self-focused and non-self-focused conditions indicated that self-aware subjects did not “abandon” their personal standards when responding to the conformity pressure. Instead, their responses tended to be more in line with their previously expressed attitudes than did the responses of the non-self-focused group. Results are discussed in terms of the effects of self-awareness on reactions to potent, but conflicting behavioral standards.     

Trend in correlated proportions

A random effects probit model is developed for the case in which the same units are sampled repeatedly at each level of an independent variable. Because the observed proportions may be correlated under these conditions, estimating their trend with respect to the independent variable is no longer a standard problem for probit, logit or loglinear analysis. Using a qualitative analogue of a random regressions model, we employ instead marginal maximum likelihood to estimate the average latent trend line. Likelihood ratio tests of the hypothesis of no trend in the average line, and the hypothesis of no differences in average trend lines between experimental treatments, are proposed. We illustrate the model both with simulated data and with observed data from a clinical experiment in which psychiatric patients on two drug therapies are rated on five occasions for the presence or absence of symptoms.Supported by a grant from the MacArthur Foundation and National Science Foundation Grant BNS85-11774.The authors are indebted to James Heckman for calling our attention to the Clark algorithm.     

Awakening: Career Opportunities After the Storm

Immediately following natural disasters, basic needs are provided; however, the long‐term needs of individuals are neglected. The narrative approach (Brott, 2001; Cochran, 1997) to career counseling is offered as a method to assist survivors of natural disasters to tell their story and create new meaning related to their career paths.