Using the EZ-diffusion model to score a Single-Category Implicit Association Test of physical activity

ObjectiveThe Single-Category Implicit Association Test (SC-IAT) has been used as a method for assessing automatic evaluations of physical activity, but measurement artifact or consciously-held attitudes could be confounding the outcome scores of these measures. The objective of these two studies was to address these measurement concerns by testing the validity of a novel SC-IAT scoring technique.DesignStudy 1 was a cross-sectional study, and study 2 was a prospective study.MethodIn study 1, undergraduate students (N = 104) completed SC-IATs for physical activity, flowers, and sedentary behavior. In study 2, undergraduate students (N = 91) completed a SC-IAT for physical activity, self-reported affective and instrumental attitudes toward physical activity, physical activity intentions, and wore an accelerometer for two weeks. The EZ-diffusion model was used to decompose the SC-IAT into three process component scores including the information processing efficiency score.ResultsIn study 1, a series of structural equation model comparisons revealed that the information processing score did not share variability across distinct SC-IATs, suggesting it does not represent systematic measurement artifact. In study 2, the information processing efficiency score was shown to be unrelated to self-reported affective and instrumental attitudes toward physical activity, and positively related to physical activity behavior, above and beyond the traditional D-score of the SC-IAT.ConclusionsThe information processing efficiency score is a valid measure of automatic evaluations of physical activity.     

Innovation,research integrity,and change: A conflict of interest management framework for program developers

Psychology and the social sciences have an important role to play in developing innovative solutions to pressing global mental health and social problems. Programs developed by psychologists and other social scientists have immense potential to alleviate suffering and to promote healthy human development across the lifespan. In order to realise this potential program developers must manage the research and development challenges involved in testing an intervention, evaluating, and then preparing it for wider dissemination and scaling. Particular challenges and conflicts can occur in managing the joint roles of being a program developer and a researcher evaluating an intervention or innovation. This article examines the management of various forms of conflicts of interest that have the potential to produce bias and decrease the confidence of policy makers, funders, practitioners, fellow researchers, and the public in the value of psychological interventions. We argue that best practice guidelines are needed to assist developers negotiate the predictable, sometime unavoidable but challenging conflicts of interest that arise in the research process.     

Being nice by choice: The effect of counterfactual reasoning on children's social evaluations

The ability to engage in counterfactual thinking (reason about what else could have happened) is critical to learning, agency, and social evaluation. However, not much is known about how individual differences in counterfactual reasoning may play a role in children's social evaluations. In the current study, we investigate how prompting children to engage in counterfactual thinking about positive moral actions impacts children's social evaluations. Eighty-seven 4-8-year-olds were introduced to a character who engaged in a positive moral action (shared a sticker with a friend) and asked about what else the character could have done with the sticker (counterfactual simulation). Children were asked to generate either a high number of counterfactuals (five alternative actions) or a low number of counterfactuals (one alternative action). Children were then asked a series of social evaluation questions contrasting that character with one who did not have a choice and had no alternatives (was told to give away the sticker to his friend). Results show that children who generated selfish counterfactuals were more likely to positively evaluate the character with choice than children who did not generate selfish counterfactuals, suggesting that generating counterfactuals most distant from the chosen action (prosociality) leads children to view prosocial actions more positively. We also found age-related changes: as children got older, regardless of the type of counterfactuals generated, they were more likely to evaluate the character with choice more positively. These results highlight the importance of counterfactual reasoning in the development of moral evaluations.

Research Highlights

• Older children were more likely to endorse agents who choose to share over those who do not have a choice.
• Children who were prompted to generate more counterfactuals were more likely to allocate resources to characters with choice.
• Children who generated selfish counterfactuals more positively evaluated agents with choice.
• Comparable to theories suggesting children punish willful transgressors more than accidental transgressors, we propose children also consider free will when making positive moral evaluations.