Relationships among gender, gender role individualized trust, and self-disclosure

Self-disclosure, the process of revealing personal information to other people, was examined in relation to gender, gender role and individualized trust. Undergraduate subjects (N = 293) completed the Jourard Self-Disclosure Scale (Jourard, 1971b), the Individualized Trust Scales (Wheeless & Grotz, 1977), the Bem Sex Role Inventory (Bem, 1974), and a demographic questionnaire. Significant interactions emerged between gender and individualized trust (p \u3c .01), gender and gender role (p \u3c .05), and individualized trust and gender role (p = .01). An androgynous gender role was shown to lead to higher rates of self-disclosure in the high trust condition but not in the low trust condition. Although masculine males and masculine females did not disclose differently, feminine females disclosed markedly more than feminine males. The relationship between individualized trust and gender role revealed an increase in self-disclosure common to androgynous individuals is restricted to those who are high trusting

New computational results on the discrete time/cost trade-off probem in project networks.

We describe a new exact procedure for the discrete time/cost trade-off problem in deterministic activity-on-the-arc networks of the CPM type, where the duration of each activity is a discrete, nonincreasing function of the amount of a single resource committed to it. The objective is to construct the complete and efficient time/cost profile over the set of feasible project durations. The procedure uses a horizon-varying approach based on the iterative optimal solution of the problem of minimizing the sum of the resource use over all activities subject to the activity precedence constraints and a project dealine. This optimal solution is derived using a branch-a- bound procedure which computes lower bounds by making convex piecewise linear underestimations of the discrete time/cost trade-off curves of the activities to be used as an input for an adapted version of the Fulkerson labelling algorithm for the linear time/cost trade-off problem. Branching involves the selection of an acrivity in order to partition its set of execution modes into two subsets which are used to derive improved convex piecewise linear underestimations. The procedure has been programmed in Visual C++ under Windows NT and has been validated using a factorial experiment on a large set of problem instances.Networks; Problems; Scheduling; Time/cost trade-off problem; CPM; Optimal;