Effects of Training and Environment on Graduate Students’ Self-Rated Knowledge and Judgments of Responsible Research Behavior

Training programs, departmental/disciplinary norms, and individual factors (e.g., personality traits) have been hypothesized to influence (un)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.     

Why people fail to bike the talk: Car dependence as a barrier to cycling

Antecedent conditions of cycling have been extensively studied, yet barriers that prevent individuals from choosing bicycle transportation are less known. The present study, conducted on a sample of individuals who were both cyclists and drivers (N = 280), investigated whether dependence on car transportation significantly reduces cycling frequency. It also assessed the predictive validity of a larger set of cycling determinants that included moral, objective environmental, demographic and car-related variables. Responses were analyzed using a structural equation modeling approach. Results show that moral considerations do little to predict cycling frequency and that car-related factors such as perceived behavioral control to reduce car use (β = 0.28) and car use habits (β = -0.27) have the strongest predictive power. Objective environmental factors such as temperature (β = -0.13) and altitude (β = -0.15) or demographic factors such as gender (β = 0.19) were also significant predictors of cycling frequency. The present study highlights a new perspective of understanding cycling behavior and pleads for the inclusion of car-related factors in its future conceptualizations and interventions to encourage it.     

On Standardizing Within-Person Effects: Potential Problems of Global Standardization

Person-mean centering has been recommended for disaggregating between-person and within-person effects when modeling time-varying predictors. Multilevel modeling textbooks recommended global standardization for standardizing fixed effects. An aim of this study is to evaluate whether and when person-mean centering followed by global standardization can accurately estimate fixed-effects within-person relations (the estimand of interest in this study) in multilevel modeling. We analytically derived that global standardization generally yields inconsistent (asymptotically biased) estimates for the estimand when between-person differences in within-person standard deviations exist and the average within-person relation is nonzero. Alternatively, a person-mean-SD standardization (P-S) approach yields consistent estimates. Our simulation results further revealed (1) how misleading the results from global standardization were under various circumstances and (2) the P-S approach had accurate estimates and satisfactory coverage rates of fixed-effects within-person relations when the number of occasions is 30 or more (in many conditions, performance was satisfactory with 10 or 20 occasions). A daily diary data example, focused on emotional complexity, was used to empirically illustrate the approaches. Researchers should choose standardization approaches based on theoretical considerations and should clearly describe the purpose and procedure of standardization in research articles.