This paper investigated three factors, two related to accountability and one an individual difference factor, which may influence rating level: (1) identifiability, (2) to whom one feels accountable (audience), and (3) conscientiousness. In study 1, results from students who rated their instructors indicated that not only did raters relatively high in conscientiousness report feeling more accountability but also that identifiability and conscientiousness interacted in predicting rating level. Raters relatively low in conscientiousness provided higher ratings when identified but raters relatively high in conscientious did not provide higher ratings. Rating audience did not influence rating level. Study 2 replicated the findings from study 1: Low conscientious raters assigned higher ratings when identified than when anonymous but high conscientious raters did not assign higher ratings when identified. Implications are discussed.

No abstract

This paper will show how diagnostic reasoner technology can be used in the automated test industry. It will briefly explain how diagnostic reasoners can reduce overall logistics support costs by reducing test time and more accurately identifying failed components.It is believed that diagnostic reasoner technology can be applied to both new and legacy Test Program Sets (TPSs) and test systems. The paper will describe some issues and lessons learned while integrating with legacy components and will provide some recommendations that should be considered when designing new test systems and TPSs.

No abstract

No abstract