JUDGMENTS OF FIT IN THE SELECTION PROCESS: THE ROLE OF WORK VALUE CONGRUENCE

Work values were examined as an antecedent of recruiters' judgments of applicant fit with the organization. Data were collected on the work values of recruiters, their organizations, and job applicants in actual job interviews conducted through the placement center of a large university. Following the interviews, recruiters evaluated applicants' general employability and organization-specific fit. Approximately 4 months following the interviews, data on whether the applicants were invited for a second interview were also obtained. Work value congruence between the applicant and the recruiter was found to be related to judgments of general employability and organization-specific fit. Congruence between the applicant and the organization (as perceived by the recruiter) was not related to judgments of employability and organization-specific fit. Recruiter ratings of employability were related to the decision to invite the applicant for a second interview. Work value congruence was not related to second interview decisions. It is concluded that if work values and judgments of applicant fit influence the personnel selection process, they are more likely to do so at later stages when job offer decisions are made. Work values and judgments of applicant fit seem to have minimal impact on decisions to retain the applicant for additional consideration in early stages of the selection process.     

Circumplex Model of Marital and Family Systems: I. Cohesion and Adaptability Dimensions,Family Types,and Clinical Applications

The conceptual clustering of numerous concepts from family therapy and other social science fields reveals two significant dimensions of family behavior, cohesion and adaptability. These two dimensions are placed into a circumplex model that is used to identify 16 types of marital and family systems. The model proposes that a balanced level of both cohesion and adaptability is the most functional to marital and family development. It postulates the need for a balance on the cohesion dimension between too much closeness (which leads to enmeshed systems) and too little closeness (which leads to disengaged systems). There also needs to be a balance on the adaptability dimension between too much change (which leads to chaotic systems) and too little change (which leads to rigid systems). The model was developed as a tool for clinical diagnosis and for specifying treatment goals with couples and families.     

Expectation-based and data-based illusory correlation: the effects of confirming versus disconfirming evidence

The present study (n=154) examines the effects of expectations and stimulus information on the perception of illusory correlation. There have been few studies attempting to integrate expectation-based and data- (distinctiveness-) based processes. These studies suggest that data-based illusory correlation can be overruled by prior expectations, but it is not clear whether this is a consequence of a confirmation bias. In the present study, where participants were not exposed to the specific stimulus information, expectation was manipulated by stating that group B behaved more negatively than group A. Moreover, participants were provided with information contained in a statement-rating task that allowed for the confirmation and disconfirmation of the prior expectations. Participants rated the desirability of these behaviours and also performed the standard illusory correlation tasks. Based on self-categorization theory and Alloy and Tabachnik (1984), we predicted that in the absence of prior expectations, completing the rating task before the illusory correlation tasks would produce stronger illusory correlation than the reverse order. However, in the presence of prior expectations we expected the rating task to undermine illusory correlation, because the information obtained in this task tends to disconfirm prior expectations. Results support the predicted interaction between task order and expectation. We discuss some implications for research on confirmation bias.