Recent, well-publicized scandals, involving unethical conduct have rekindled interest in academic misconduct. Prior studies of academic misconduct have focussed exclusively on situational factors (e.g., integrity culture, honor codes), demographic variables or personality constructs. We contend that it is important to also examine how␣these classes of variables interact to influence perceptions of and intentions relating to academic misconduct. In a sample of 217 business students, we examined how integrity culture interacts with Prudence and Adjustment to explain variance in estimated frequency of (...) cheating, suspicions of cheating, considering cheating and reporting cheating. Age, integrity culture, and personality variables were significantly related to different criteria. Overall, personality variables explained the most unique variance in academic misconduct, and Adjustment interacted with integrity culture, such that integrity culture had more influence on intentions to cheat for less well-adjusted individuals. Implications for practice are discussed and future research directions are offered. (shrink)

Traditional approaches to measurement of violations of academic integrity may overestimate the magnitude and severity of cheating and confound panic with planned cheating. Differences in the severity and level of premeditation of academic integrity violations have largely been unexamined. Results of a study based on a combined sample of business students showed that students are more likely to commit minor cheating offenses and engage in panic-based cheating as compared to serious and planned cheating offenses. Results also indicated there is a (...) significant interaction between severity and type of cheating. We hypothesized serious and planned cheating offenses would be related to justifications and found the largest differences were between panic and planned. Finally, panic and minor cheating were associated with two self-control-related personality traits. Implications for cheating research are discussed. (shrink)

Academic misconduct is widespread in schools, colleges, and universities and it appears to be an international phenomenon that also spills over into the workplace. To this end, while a great deal of research has investigated various individual components such as, demographic, personality and situational factors that contribute to cheating, research has yet to examine why students help others cheat and which students are being asked to help others cheat. In this study, we investigated if the closeness of the relationship to (...) the individual requesting help in cheating to the individual being asked to help cheat, influenced the decision to help cheat. We also investigated if past cheating behavior predicted how an individual would respond to requests to cheat. Additionally, we sought to answer the following questions; whether minor cheating is more prevalent than serious cheating, what personality factors predict helping others cheat, who is helped, and how people rationalize helping others cheat. Results indicate minor cheating to be more prevalent, prudent personalities are less likely to have cheated or to help others cheat, individuals are more likely to help friends cheat than to help strangers, and past cheating behaviors is indicative of helping others to cheat. Implications for research and practice are discussed. (shrink)

Insects use path integration (PI) to maintain a home vector, but can also store and recall vector-memories that take them from home to a food location, and even allow them to take novel shortcuts between food locations. The neural circuit of the Central Complex (a brain area that receives compass and optic flow information) forms a plausible substrate for these behaviours. A recent model, grounded in neurophysiological and neuroanatomical data, can account for PI during outbound exploratory routes and the control (...) of steering to return home. Here, we show that minor, hypothetical but neurally plausible, extensions of this model can additionally explain how insects could store and recall PI vectors to follow food-ward paths, take shortcuts, search at the feeder and re-calibrate their vector-memories with experience. In addition, a simple assumption about how one of multiple vector-memories might be chosen at any point in time can produce the development and maintenance of efficient routes between multiple locations, as observed in bees. The central complex circuitry is therefore well-suited to allow for a rich vector-based navigational repertoire. (shrink)