The multiple regression model has been applied to the study of judgment primarily through the paradigms known as policy capturing and multiple cue probability learning (MCPL). The former involves modeling the way the decision maker weights predictive information; the latter focuses on the...

This dissertation focuses on managerial decision making, and specifically explores conditions wherein managers may increase their propensity to escalate commitment towards a failing project. Escalation researchers (e.g. Schmidt and Calantone, 2002) have listed four classes of factors that may...

Many large-scale national and international testing programs use the Raschmodel to govern the construction of measurement scales that can be used tomonitor standards of performance and monitor performance over time. Asignificant issue that arises in such programs is that once a decision has...

Skill and risk taking are argued to be independent and to require different remedial programs. However, it is possible to contend that skill-based training could be associated with an increase, a decrease, or no change in fisk-taking behavior. In 3 experiments, the authors examined the influence...

Abstract Objectives One important variable influencing day-to-day decisions in COVID-19 pandemic has been an impending shortage of mechanical ventilators due to the large number of people that become infected with the virus due to its high contagiousness. We developed a stepwise Markov model (a)...

The importance of the rate of change of the pollution stock in determining the damage to the environment has been an issue of increasing concern in the literature. This paper uses a three-sector (economy, population and environment), non-linear, discrete time, calibrated model to examine...