This study examined the associations between sexual self-concept (sexual esteem and sexual anxiety) and sexual self-efficacy (situational and resistive) in a sample of 388 high school students (59% Caucasian, 28% African American). Males reported lower sexual esteem and lower sexual self-efficacy than females. Males and African Americans reported higher levels of sexual anxiety and lower levels of resistive self-efficacy than females and Caucasians. In regression models, higher sexual self-esteem uniquely predicted higher sexual self-efficacy scores, even after controlling for demographic variables, knowledge of sexual risk, and previous coital experience. In post hoc analyses, sexual self-esteem mediated the relation between knowledge of sexual risk and both types of sexual self-efficacy. Results suggest the need for interventions to promote male sexual self-efficacy and sexual esteem and the need for longitudinal research that explicates models of sexual health in adolescence.
Abstract-Assisted requirements tracing is a process in which a human analyst validates candidate traces produced by an automated requirements tracing method or tool. The assisted requirements tracing process splits the difference between the commonly applied time-consuming, tedious, and error-prone manual tracing and the automated requirements tracing procedures that are a focal point of academic studies. In fact, in software assurance scenarios, assisted requirements tracing is the only way in which tracing can be at least partially automated. In this paper, we present the results of an extensive 12 month study of assisted tracing, conducted using three different tracing processes at two different sites. We describe the information collected about each study participant and their work on the tracing task, and apply statistical analysis to study which factors have the largest effect on the quality of the final trace.
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