Training programs, departmental/disciplinary norms, and individual factors have been hypothesized to influence ethical behavior. This exploratory study surveyed graduate students from a single university in the American Southeast. Relationships were examined among 496 participants’ individual characteristics, training, self-rated knowledge and decision-making skills in research conduct, and judgments of ethically questionable vignettes. Key findings include the increased likelihood of unethical action by students in online programs, a negative relationship between age and unethical actions, and a negative relationship between agreeableness and reports (...) that a peer would take an unethical action. Graduate training was unrelated to judgments of ethicality. (shrink)

This study aims to explore the factors contributing to the perceived preparedness of graduate students for responsible conduct of research (RCR). A convergent mixed design was used, and both interview and quantitative data were collected, analyzed, and integrated to understand the role of individual and institutional factors in the perceived RCR preparedness of graduate students. Both interview and quantitative data converge on the role of mentor instruction and institutional policies in developing RCR preparedness. The findings also suggested that greater exposure (...) of students to ethical norms and practices is critical in nurturing RCR. (shrink)

Little is known about the mechanisms by which psychology graduate programs transmit responsible conduct of research (RCR) values. A national sample of 968 current students and recent graduates of mission-diverse doctoral psychology programs completed a Web-based survey on their research ethics challenges, perceptions of RCR mentoring and department climate, whether they were prepared to conduct research responsibly, and whether they believed psychology as a discipline promotes scientific integrity. Research experience, mentor RCR instruction and modeling, and department RCR policies predicted student (...) RCR preparedness. Mentor RCR instruction, department RCR policies, and faculty modeling of RCR behaviors predicted confidence in the RCR integrity of the discipline. Implications for training are discussed. (shrink)

Successfully navigating the norms of a society is a complex task that involves recognizing diverse kinds of rules as well as the relative weight attached to them. In the United States, different kinds of rules—federal statutes and regulations, scientific norms, and professional ideals—guide the work of researchers. Penalties for violating these different kinds of rules and norms can range from the displeasure of peers to criminal sanctions. We proposed that it would be more difficult for researchers working in the U.S. (...) who were born in other nations to distinguish the seriousness of violating rules across diverse domains. We administered a new measure, the evaluating rules in science task, to National Institutes of Health-funded investigators. The ERST assessed perceptions of the seriousness of violating research regulations, norms, and ideals, and allowed us to calculate the degree to which researchers distinguished between the seriousness of each rule category. The ERST also assessed researchers’ predictions of the seriousness that research integrity officers would assign to the rules. We compared researchers’ predictions to the seriousness ratings of 112 RIOs working at U.S. research-intensive universities. U.S.-born researchers were significantly better at distinguishing between the seriousness of violating federal research regulations and violating ideals of science, and they were more accurate in their predictions of the views of RIOs. Acculturation to the U.S. moderated the effects of nationality on accuracy. We discuss the implications of these findings in terms of future research and education. (shrink)

Research integrity is core to the mission of higher education. In undergraduate student samples, self-reported rates of data fabrication have been troublingly high. Despite this, no research has investigated undergraduate data fabrication in a more systematic manner. We applied duplication screening techniques to 18 data sets submitted by psychology honors students for assessment. Although we did not identify any completely duplicated cases, there were numerous partial duplicates. Rather than indicating fabrication, however, these partial duplicates are likely a consequence of poor (...) measure selection, insufficient data screening, and/or participant characteristics. Implications for the teaching and supervision of honors students are discussed. (shrink)