Who's been framed? Framing effects are reduced in financial gambles made for others

Background: Decisions made on behalf of other people are sometimes more rational than those made for oneself. In this study we used a monetary gambling task to ask if the framing effect in decision-making is reduced in surrogate decision-making. Methods: Participants made a series of choices between a predetermined sure option and a risky gambling option of winning a proportion of an initial stake. Trials were presented as either a gain or a loss relative to that initial stake. In half of the trials participants made choices to earn money for themselves and in the other half they earned money for another participant. Framing effects were measured as risk seeking in loss frames and risk aversion in gain frames. Results: Significant framing effects were observed both in trials in which participants earned money for themselves and those in which they earned money for another person; however, these framing effects were significantly reduced when making decisions for another person. It appears that the reduced emotional involvement when the decision-maker is not affected by the outcome of the decision thus lessens the framing effect without eradicating it altogether. Conclusions: This suggests that the deviation from rational choices in decision-making can be significantly reduced when the emotional impact on the decision maker is lessened. These results are discussed in relation to Somatic Distortion Theory

Adaptation of the Emotional Contagion Scale (ECS) and gender differences within the Greek cultural context

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Risk preference and choice stochasticity during decisions for other people

In several contexts, such as finance and politics, people make choices that are relevant for others but irrelevant for oneself. Focusing on decision-making under risk, we compared monetary choices made for one’s own interest with choices made on behalf of an anonymous individual. Consistent with the previous literature, other-interest choices were characterized by an increased gambling propensity. We also investigated choice stochasticity, which captures how much decisions vary in similar conditions. An aspect related to choice stochasticity is how much decisions are tuned to the option values, and we found that this was higher during self-interest than during other-interest choices. This effect was observed only in individuals who reported a motivation to distribute rewards unequally, suggesting that it may (at least partially) depend on a motivation to make accurate decisions for others. Our results indicate that, during decision-making under risk, choices for other people are characterized by a decreased tuning to the values of the options, in addition to enhanced risk seeking

What You Find Depends on How You Measure It: Reactivity of Response Scales Measuring Predecisional Information Distortion in Medical Diagnosis

“Predecisional information distortion” occurs when decision makers evaluate new information in a way that is biased towards their leading option. The phenomenon is well established, as is the method typically used to measure it, termed “stepwise evolution of preference” (SEP). An inadequacy of this method has recently come to the fore: it measures distortion as the total advantage afforded a leading option over its competitor, and therefore it cannot differentiate between distortion to strengthen a leading option (“proleader” distortion) and distortion to weaken a trailing option (“antitrailer” distortion). To address this, recent research introduced new response scales to SEP. We explore whether and how these new response scales might influence the very proleader and antitrailer processes that they were designed to capture (“reactivity”). We used the SEP method with concurrent verbal reporting: fifty family physicians verbalized their thoughts as they evaluated patient symptoms and signs (“cues”) in relation to two competing diagnostic hypotheses. Twenty-five physicians evaluated each cue using the response scale traditional to SEP (a single response scale, returning a single measure of distortion); the other twenty-five did so using the response scales introduced in recent studies (two separate response scales, returning two separate measures of distortion: proleader and antitrailer). We measured proleader and antitrailer processes in verbalizations, and compared verbalizations in the single-scale and separate-scales groups. Response scales did not appear to affect proleader processes: the two groups of physicians were equally likely to bolster their leading diagnosis verbally. Response scales did, however, appear to affect antitrailer processes: the two groups denigrated their trailing diagnosis verbally to differing degrees. Our findings suggest that the response scales used to measure information distortion might influence its constituent processes, limiting their generalizability across and beyond experimental studies

Financial wellbeing of Asian Americans

The Asian American population in the United States has been increasing. Research on the economic wellbeing of this minority group is far from being adequate. It is generally found that Asian Americans are more highly educated and have more wealth. Although the homeownership rate of this population is lower than the national average rate, the gap is gradually narrowing. Asian Americans are found to have more confidence in their financial future and have better management in their financial lives. In addition, Asian-owned businesses have been an important part of the U.S. economy and, as such, the self-employment status of Asian Americans has stimulated great interest for research. Large differences in financial behaviors exist among different groups in Asian Americans. This chapter serves the purpose to summarize past research on Asian American consumer finances and provide directions for future research.Includes bibliographical references

Using social and behavioural science to support COVID-19 pandemic response

The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help align human behavior with the recommendations of epidemiologists and public health experts. Here we discuss evidence from a selection of research topics relevant to pandemics, including work on navigating threats, social and cultural influences on behaviour, science communication, moral decision-making, leadership, and stress and coping. In each section, we note the nature and quality of prior research, including uncertainty and unsettled issues. We identify several insights for effective response to the COVID-19 pandemic, and also highlight important gaps researchers should move quickly to fill in the coming weeks and months

A Reporting Framework for Describing and a Typology for Categorizing and Analyzing the Designs of Health Care Pay for Performance Schemes

Table S1. Search strategy output for Cochrane database. This table details the search strategy employed to identify relevant studies and reviews used in the manuscript. This includes the database searched, years covered, and number of citations. Table S2. Summary of identified reviews. This table outlines the relevant reviews and P4P evaluation studies identified from our search strategy, which informed our reporting framework and typology. Table S3. Search strategy output for economic theories to inform the P4P typology. This table details the search strategy employed to identify relevant economic theories that were used to construct the P4P typology. This includes the database searched, years covered, and number of citations. Table S4. Application of the typology on selected identified P4P schemes. This table outlines the results of applying the P4P typology to categorized identified P4P schemes. Table S5. P4P studies used in testing the inter-rater reliability of the P4P typology. This table list out the P4P studies that were selected for the raters to apply the P4P typology. Table S6. Rater population. This table describes the rater population i.e. qualifications, research experience, and experience with P4P in healthcare. Table S7. Sources of disagreement between raters. This table highlights the items on the P4P typology that were sources of disagreement between he raters. Table S8. An example of source of disagreement between raters (risk). This table details text extracts from the sample P4P study and describes the reason for disagreement between raters testing the P4P typology. (DOCX 127 kb