Generalizability of heterogeneous treatment effect estimates across samples

Health harms that discourage alcohol consumption: A randomized experiment of warning messages

BACKGROUND

Health warnings about alcohol consumption could inform consumers and discourage alcohol consumption, but little is known about what topics these warnings should address. We sought to identify promising topics for alcohol warnings.

METHODS

In January 2024, we recruited a convenience sample of 2,522 US adults ages ≥ 21 years. In an online within-subjects experiment, participants viewed messages about 6 topics (5 warning topics selected from a pool of 16 topics [e.g., liver disease, liver cancer] and 1 control topic [i.e., recycling or reselling products]) shown in random order. For each topic, participants viewed and rated 2 statements about that topic on perceived message effectiveness (primary outcome) and reactance (secondary outcome).

RESULTS

The 16 warning topics elicited higher perceived message effectiveness than the control topic (ps < 0.001). Among the warning topics, liver disease, most cancer types, dementia or mental decline, and hypertension elicited the highest perceived message effectiveness, while breast cancer, sleep, and drinking guidelines elicited the lowest. Fourteen of the 16 warning topics (all except for fetal harms and impaired driving) elicited more reactance than the control topic (ps < 0.001). Warning topics that elicited high perceived message effectiveness generally elicited high reactance, except for messages about liver disease and liver cancer, which elicited high perceived message effectiveness but only moderate reactance.

DISCUSSION

Warning messages about a variety of topics hold promise for discouraging alcohol consumption. Messages about liver disease, most cancer types, dementia or mental decline, and hypertension are perceived as especially effective; however, none of these topics are included in the current US alcohol warning.

Countermarketing Versus Health Education Messages About Sugar-Sweetened Beverages: An Online Randomized Controlled Trial of US Adults

Objectives. To test whether countermarketing messages for sugary drinks lead to lower intentions to consume sugary drinks and less perceived weight stigma than health education messages. Methods. In August 2023, we conducted an online randomized controlled trial with US adults (n = 2169). We assessed the effect of countermarketing messages, health education messages, and neutral control messages on intentions to consume sugary drinks and perceived weight stigma. Results. Both countermarketing messages (Cohen d = -0.20) and health education messages (d = -0.35) led to lower intentions to consume sugary drinks than control messages (Ps < .001). However, both types of messages elicited more perceived weight stigma than control messages (ds = 0.87 and 1.29, respectively; Ps < .001). Countermarketing messages were less effective than health education messages at lowering intentions to consume sugary drinks (d for countermarketing vs health education = 0.14) but also elicited less perceived weight stigma than health education messages (d = -0.39; Ps < .01). Conclusions. Countermarketing messages show promise for reducing sugary drink consumption while eliciting less weight stigma than health education messages, though they may need to be refined further to minimize weight stigma and maximize effectiveness. Clinical Trial Number. ClinicalTrials.gov NCT05953194. (Am J Public Health. 2024;114(12):1354-1364. https://doi.org/10.2105/AJPH.2024.307853).

Comparing Health Survey Data Cost and Quality Between Amazon's Mechanical Turk and Ipsos' KnowledgePanel: Observational Study

BACKGROUND

Researchers have many options for web-based survey data collection, ranging from access to curated probability-based panels, where individuals are selectively invited to join based on their membership in a representative population, to convenience panels, which are open for anyone to join. The mix of respondents available also varies greatly regarding representation of a population of interest and in motivation to provide thoughtful and accurate responses. Despite the additional dataset-building labor required of the researcher, convenience panels are much less expensive than probability-based panels. However, it is important to understand what may be given up regarding data quality for those cost savings.

OBJECTIVE

This study examined the relative costs and data quality of fielding equivalent surveys on Amazon's Mechanical Turk (MTurk), a convenience panel, and KnowledgePanel, a nationally representative probability-based panel.

METHODS

We administered the same survey measures to MTurk (in 2021) and KnowledgePanel (in 2022) members. We applied several recommended quality assurance steps to enhance the data quality achieved using MTurk. Ipsos, the owner of KnowledgePanel, followed their usual (industry standard) protocols. The survey was designed to support psychometric analyses and included >60 items from the Patient-Reported Outcomes Measurement Information System (PROMIS), demographics, and a list of health conditions. We used 2 fake conditions ("syndomitis" and "chekalism") to identify those more likely to be honest respondents. We examined the quality of each platform's data using several recommended metrics (eg, consistency, reliability, representativeness, missing data, and correlations) including and excluding those respondents who had endorsed a fake condition and examined the impact of weighting on representativeness.

RESULTS

We found that prescreening in the MTurk sample (removing those who endorsed a fake health condition) improved data quality but KnowledgePanel data quality generally remained superior. While MTurk's unweighted point estimates for demographics exhibited the usual mismatch with national averages (younger, better educated, and lower income), weighted MTurk data matched national estimates. KnowledgePanel's point estimates better matched national benchmarks even before poststratification weighting. Correlations between PROMIS measures and age and income were similar in MTurk and KnowledgePanel; the mean absolute value of the difference between each platform's 137 correlations was 0.06, and 92% were <0.15. However, correlations between PROMIS measures and educational level were dramatically different; the mean absolute value of the difference across these 17 correlation pairs was 0.15, the largest difference was 0.29, and the direction of more than half of these relationships in the MTurk sample was the opposite from that expected from theory. Therefore, caution is needed if using MTurk for studies where educational level is a key variable.

CONCLUSIONS

The data quality of our MTurk sample was often inferior to that of the KnowledgePanel sample but possibly not so much as to negate the benefits of its cost savings for some uses.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12891-020-03696-2.

Signaling (in)tolerance: Social evaluation and metaethical relativism and objectivism

Prior work has established that laypeople do not consistently treat moral questions as being objectively true or as merely true relative to different perspectives. Rather, these metaethical judgments vary dramatically across moral issues and in response to different social influences. We offer a potential explanation by examining how objectivists and relativists are evaluated in different contexts. We provide evidence for a novel account of metaethical judgments as signaling tolerance or intolerance of disagreement. The social implications of signaling tolerance or intolerance in different contexts may motivate different metaethical judgments. Study 1 finds that relativists are perceived as more tolerant, empathic, having superior moral character, and as more desirable as social partners than objectivists. Study 2 replicates these findings with a within-participants design and also shows that objectivists are perceived as more morally serious than relativists. Study 3 examines evaluations of objectivists and relativists regarding concrete moral issues, finding these results vary across situations of moral agreement and disagreement. Study 4 finds that participants' metaethical stances likewise vary when responding in the way they think would make a person who agrees or disagrees with them evaluate them more positively. However, in Study 5, we find no effect on metaethical judgment of telling participants they will be evaluated by a person who agrees or disagrees with them, which suggests either a failure to induce reputational concerns or a more limited influence of reputational considerations on metaethical judgments, despite strong effects on social evaluation.

People consistently view elections and civil liberties as key components of democracy

How do people around the world define democracy? Answering this question is critical as countries face democratic backsliding and authoritarian governments promote alternative notions of democracy. Indeed, some scholars argue that people from different backgrounds understand democracy differently. By contrast, we discovered very consistent views about what constitutes a "democratic" country from conjoint survey experiments conducted in Egypt, India, Italy, Japan, Thailand, and the United States. Across countries (N = 6150) and diverse subgroups within countries, people similarly emphasized free and fair elections and civil liberties as being the key determinants of democracy. Countries that produce desirable social and economic outcomes are also considered more democratic, but these and other factors exert a smaller and less consistent effect than elections and civil liberties.

Megastudy testing 25 treatments to reduce antidemocratic attitudes and partisan animosity

Scholars warn that partisan divisions in the mass public threaten the health of American democracy. We conducted a megastudy (n = 32,059 participants) testing 25 treatments designed by academics and practitioners to reduce Americans' partisan animosity and antidemocratic attitudes. We find that many treatments reduced partisan animosity, most strongly by highlighting relatable sympathetic individuals with different political beliefs or by emphasizing common identities shared by rival partisans. We also identify several treatments that reduced support for undemocratic practices-most strongly by correcting misperceptions of rival partisans' views or highlighting the threat of democratic collapse-which shows that antidemocratic attitudes are not intractable. Taken together, the study's findings identify promising general strategies for reducing partisan division and improving democratic attitudes, shedding theoretical light on challenges facing American democracy.

Aspects of Quality of Life: Single vs. Mated People

Not having an intimate partner constitutes a common state in contemporary post-industrial societies. The current research aimed to address the question of whether single people score higher than mated people in various dimensions of quality of life. For this purpose, we employed quantitative research methods, measuring different aspects of quality of life that we treated as the dependent variables, with relationship status as the independent variable. In a sample of 1929 participants from Greece and Turkey, we found that relationship status was not significantly associated with physical health, relationships with friends and family, self-development, independence, recreation, or participation in social and communal activities. On the other hand, it was significantly associated with material goods, disposable income, social support, sexual satisfaction, and having children, with mated people scoring higher than single people. Despite using different methodologies for data collection, similar results were obtained in the two cultural contexts.

Cognitive support for political partisans' understanding of policy data

Political partisanship might lead educated adults-even the highly numerate-to reason selectively about numbers that are relevant to and support their ideology ("motivated numeracy"). In this pre-registered study, we sought to examine the replicability of motivated numeracy, and investigate whether cognitive support (number lines) that improves the reasoning of children might also improve the reasoning of political partisans. To test this, we asked 1000 adults about their political ideology and asked them to interpret fictional data, in a table or number-line format, about ideology relevant (i.e., the effect of gun control on crime) or irrelevant (i.e., the effect of skin cream on rash) issues. We failed to replicate motivated numeracy when political identity was used but observed motivated numeracy when prior attitude was used. Moreover, data presented on number lines elicited 75 percent greater accuracy than data presented in tables, regardless of whether the information was ideology-relevant, or whether data supported, was neutral to, or contradicted participants' political outlooks. Findings imply that political partisans require cognitive support to be more objective about policy data.

"Warning: ultra-processed": an online experiment examining the impact of ultra-processed warning labels on consumers' product perceptions and behavioral intentions

BACKGROUND

Nutrient content and degree of processing are complementary but distinct concepts, and a growing body of evidence shows that ultra-processed foods (UPFs) can have detrimental health effects independently from nutrient content. 10 + countries currently mandate front-of-package labels (FOPL) to inform consumers when products are high in added sugars, saturated fat, and/or sodium. Public health advocates have been calling for the addition of ultra-processed warning labels to these FOPLs, but the extent to which consumers would understand and be influenced by such labels remains unknown. We examined whether the addition of ultra-processed warning labels to existing nutrient warning labels could influence consumers' product perceptions and purchase intentions.

METHODS

In 2023, a sample of adults in Brazil (n = 1,004) answered an open-ended question about the meaning of the term "ultra-processed," followed by an online experiment where they saw four ultra-processed products carrying warning labels. Participants were randomly assigned to view either only nutrient warning labels or nutrient plus ultra-processed warning labels. Participants then answered questions about their intentions to purchase the products, product perceptions, and perceived label effectiveness.

RESULTS

Most participants (69%) exhibited a moderate understanding of the term "ultra-processed" prior to the experiment. The addition of an ultra-processed warning label led to a higher share of participants who correctly identified the products as UPFs compared to nutrient warning labels alone (Cohen's d = 0.16, p = 0.02). However, the addition of the ultra-processed warning label did not significantly influence purchase intentions, product healthfulness perceptions, or perceived label effectiveness compared to nutrient warning labels alone (all p > 0.05). In exploratory analyses, demographic characteristics and prior understanding of the concept of UPF did not moderate the effect of ultra-processed warning labels.

CONCLUSIONS

Ultra-processed warning labels may help consumers better identify UPFs, although they do not seem to influence behavioral intentions and product perceptions beyond the influence already exerted by nutrient warning labels. Future research should examine how ultra-processed warning labels would work for products that do and do not require nutrient warnings, as well as examine the benefits of labeling approaches that signal the health effects of UPFs.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT05842460. Prospectively registered March 15th, 2023.

The International Climate Psychology Collaboration: Climate change-related data collected from 63 countries

Climate change is currently one of humanity's greatest threats. To help scholars understand the psychology of climate change, we conducted an online quasi-experimental survey on 59,508 participants from 63 countries (collected between July 2022 and July 2023). In a between-subjects design, we tested 11 interventions designed to promote climate change mitigation across four outcomes: climate change belief, support for climate policies, willingness to share information on social media, and performance on an effortful pro-environmental behavioural task. Participants also reported their demographic information (e.g., age, gender) and several other independent variables (e.g., political orientation, perceptions about the scientific consensus). In the no-intervention control group, we also measured important additional variables, such as environmentalist identity and trust in climate science. We report the collaboration procedure, study design, raw and cleaned data, all survey materials, relevant analysis scripts, and data visualisations. This dataset can be used to further the understanding of psychological, demographic, and national-level factors related to individual-level climate action and how these differ across countries.

Utilization of geospatial distribution in the measurement of study cohort representativeness

OBJECTIVE

The ability to apply results from a study to a broader population remains a primary objective in translational science. Distinct from intrinsic elements of scientific rigor, the extrinsic concept of generalization requires there be alignment between a study cohort and population in which results are expected to be applied. Widespread efforts have been made to quantify representativeness of study cohorts. These techniques, however, often consider the study and target cohorts as monolithic collections that can be directly compared. Overlooking known impacts to health from socio-demographic and environmental factors tied to individual's geographical location, and potentially obfuscating misalignment in underrepresented population subgroups. This manuscript introduces several measures to account for geographic information in the assessment of cohort representation.

METHODS

Metrics were defined across two themes: First, measures of recruitment, to assess if a study cohort is drawn at an expected rate and in an expected geographical pattern with respect to individuals in a reference cohort. Second, measures of individual characteristics, to assess if the individuals in the study cohort accurately reflect the sociodemographic, clinical, and geographic diversity observed across a reference cohort while accounting for the geospatial proximity of individuals.

RESULTS

As an empirical demonstration, methods are applied to an active clinical study examining asthma in Black/African American patients at a US Midwestern pediatric hospital. Results illustrate how areas of over- and under-recruitment can be identified and contextualized in light of study recruitment patterns at an individual-level, highlighting the ability to identify a subset of features for which the study cohort closely resembled the broader population. In addition they provide an opportunity to dive deeper into misalignments, to identify study cohort members that are in some way distinct from the communities for which they are expected to represent.

CONCLUSION

Together, these metrics provide a comprehensive spatial assessment of a study cohort with respect to a broader target population. Such an approach offers researchers a toolset by which to target expected generalization of results derived from a given study.

Determinants of exclusive direct breastfeeding using constructs from the breastfeeding relationship scale

OBJECTIVES

This study examined the relationship among constructs of the Breastfeeding Relationship Scale and exclusive direct breastfeeding (EDBF) while controlling for covariates in US breastfeeding dyads in the first 3 months.

BACKGROUND

The Breastfeeding Relationship Scale was developed to measure mother-infant mutual responsiveness during breastfeeding in response to perceived insufficient milk, but there is no clear understanding about the relationships between the Breastfeeding Relationship Scale's constructs and EDBF.

METHODS

A cross-sectional design was used. The convenience sample of 589 directly breastfeeding mothers in the US whose infants were between 1 and 12 weeks of age were included for analysis using a structural equation model. Covariates for EDBF included mother's age, education, marital status, parity, prior breastfeeding experience, infant's age, weight, and sex.

RESULTS

Mother-Infant Breastfeeding Interaction and Breastfeeding Synchronicity were related (β = 0.33, p < .001), as were Breastfeeding Synchronicity and Perceived Adequate Milk Supply (β = 0.35, p < .001) and Mother-Infant Breastfeeding Interaction and Perceived Adequate Milk Supply (β = 0.08, p = .05). The relationship between Mother-Infant Breastfeeding Interaction and Breastfeeding Synchronicity with EDBF was fully mediated by Perceived Adequate Milk Supply, where the odds of EDBF was higher for mothers with higher scores on Perceived Adequate Milk Supply (OR = 1.61, p < .001) and prior breastfeeding experience (OR = 2.31, p = .006).

CONCLUSIONS

Perceived Adequate Milk Supply and prior breastfeeding experience are major determinants of EDBF in the first 3 months. Breastfeeding Synchronicity can bolster Mother-Infant Breastfeeding Interaction and promote Perceived Adequate Milk. More attention should be paid to breastfeeding relationship to be the result of EDBF.

Mate Choice Plurality, Choice Overload, and Singlehood: Are More Options Always Better?

A lack of options can make it challenging for individuals to find a desirable intimate partner. Conversely, an abundance of choices might lead to mate choice overload, making it difficult to determine the most suitable match. Additionally, having numerous alternatives after entering a relationship could undermine its stability by decreasing satisfaction with the current partner. The present research aimed to examine the effects of mate choice plurality on singlehood status and the willingness to stay in a relationship within the Greek cultural context. Specifically, we employed closed-ended questionnaires, which included instruments developed using AI, with a sample of 804 Greek-speaking participants. We found that participants who perceived they had a wider range of potential romantic partners reported a lower likelihood of being single. Furthermore, more perceived mate choices were associated with fewer years spent as single. However, mate choice plurality was also linked to higher choice overload, which, in turn, increased the likelihood of being single rather than in an intimate relationship. Moreover, more perceived mate choices were associated with more regrets about being in the current relationship. These regrets were linked to lower relationship satisfaction and ultimately contributed to a decreased willingness to stay in the relationship. Notably, this indirect effect was significant only for male participants.

Risky-Choice Framing Effects Result Partly From Mismatched Option Descriptions in Gains and Losses

Textbook psychology holds that people usually prefer a certain option over a risky one when options are framed as gains but prefer the opposite when options are framed as losses. However, this pattern can be amplified, eliminated, or reversed depending on whether option descriptions include only positive information (e.g., "200 people will be saved"), only negative information (e.g., "400 people will not be saved"), or both. Previous studies suggest that framing effects arise only when option descriptions are mismatched across frames. Using online and student samples (Ns = 906 and 521), we investigated 81 framing-effect variants created from matched and mismatched pairs of 18 option descriptions (nine in each frame). Description valence or gist explained substantial variation in risk preferences (prospect theory does not predict such variation), but a considerable framing effect remained in our balanced design. Risky-choice framing effects appear to be partly-but not completely-the result of mismatched comparisons.

Diversity of Research Participant Gender, Race, and Ethnicity in Communication Sciences and Disorders: A Systematic Review and Quantitative Synthesis of American Speech-Language-Hearing Association Publications in 2020

Purpose

One manifestation of systemic inequities in communication sciences and disorders (CSD) is the chronic underreporting and underrepresentation of sex, gender, race, and ethnicity in research. The present study characterized recent demographic reporting practices and representation of participants across CSD research.

Methods

We systematically reviewed and extracted key reporting and participant data from empirical studies conducted in the United States (US) with human participants published in the year 2020 in journals by the American Speech-Language-Hearing Association (ASHA; k = 407 articles comprising a total n = 80,058 research participants, search completed November 2021). Sex, gender, race, and ethnicity were operationalized per National Institutes of Health guidelines (National Institutes of Health, 2015a, 2015b).

Results

Sex or gender was reported in 85.5% of included studies; race was reported in 33.7%; and ethnicity was reported in 13.8%. Sex and gender were clearly differentiated in 3.4% of relevant studies. Where reported, median proportions for race and ethnicity were significantly different from the US population, with underrepresentation noted for all non-White racial groups and Hispanic participants. Moreover, 64.7% of studies that reported sex or gender and 67.2% of studies that reported race or ethnicity did not consider these respective variables in analyses or discussion.

Conclusion

At present, research published in ASHA journals frequently fails to report key demographic data summarizing the characteristics of participants. Moreover, apparent gaps in representation of minoritized racial and ethnic groups threaten the external validity of CSD research and broader health care equity endeavors in the US. Although our study is limited to a single year and publisher, our results point to several steps for readers that may bring greater accountability, consistency, and diversity to the discipline.

The impact of "pinkwashed" alcohol advertisements on attitudes and beliefs: A randomized experiment with US adults

OBJECTIVE

To examine the impact of alcohol advertisements related to breast cancer awareness or charities (i.e., pinkwashed ads) on attitudes and beliefs.

METHODS

In 2023, an online experiment randomized 602 US adults to view three pinkwashed ads for beer, wine, and liquor, or three standard ads for the same products.

RESULTS

Breast cancer risk perceptions (average differential effect [ADE] = 0.03; p = 0.58)) and intentions to purchase the advertised product (ADE = -0.01, p = 0.95) did not differ by ad type. When informed about the link between alcohol and breast cancer, participants who viewed pinkwashed ads reported the ads were more misleading (ADE = 0.51, p < 0.001) and had stronger support for requiring alcohol breast cancer warnings (ADE = 0.23, p < 0.001). The pinkwashed ads for beer (but not for wine or liquor) led to greater: perceived product healthfulness (ADE = 0.16, p = 0.03), perceived social responsibility of the company (ADE = 0.18, p = 0.02), and favorable brand attitudes (ADE = 0.14, p = 0.03).

CONCLUSIONS

Informing the public about pinkwashing increases perceptions of misleadingness and support for alcohol policies.

POLICY IMPLICATIONS

Exposing the industry practice of pinkwashing could be a promising theme for campaigns to reduce alcohol consumption and increase support for alcohol policies.

How Promising Are "Ultraprocessed" Front-of-Package Labels? A Formative Study with US Adults

High levels of food processing can have detrimental health effects independent of nutrient content. Experts and advocates have proposed adding information about food processing status to front-of-package labeling schemes, which currently exclusively focus on nutrient content. How consumers would perceive "ultraprocessed" labels has not yet been examined. To address this gap, we conducted a within-subjects online experiment with a convenience sample of 600 US adults. Participants viewed a product under three labeling conditions (control, "ultraprocessed" label, and "ultraprocessed" plus "high in sugar" label) in random order for a single product. The "ultraprocessed" label led participants to report thinking more about the risks of eating the product and discouraging them from wanting to buy the product more than the control, despite not grabbing more attention than the control. The "ultraprocessed" plus "high in sugar" labels grabbed more attention, led participants to think more about the risks of eating the product, and discouraged them from wanting to buy the product more than the "ultraprocessed" label alone. "Ultraprocessed" labels may constitute promising messages that could work in tandem with nutrient labels, and further research should examine how they would influence consumers' actual intentions and behaviors.

An Examination of Bidirectional Associations Between Alcohol Use and Internalizing Symptoms Among Adolescents During the COVID-19 Pandemic

PURPOSE

This study explores the bidirectional association between internalizing symptoms and alcohol use over three years of the COVID-19 pandemic to examine whether alcohol consumption is associated with higher internalizing symptoms in the next year and vice versa.

METHODS

We used linked data from a sample of 2,136 secondary school students who participated in three consecutive waves (2019-2020 [T1], 2020-2021 [T2], and 2021-2022 [T3]) of the Cannabis use, Obesity, Mental health, Physical activity, Alcohol use, Smoking, and Sedentary behaviour study during the pandemic. A random-intercept cross-lagged panel model was used to characterize reciprocal linear relations between internalizing symptoms and alcohol use.

RESULTS

The findings suggest that students who reported higher levels of alcohol use at T1 experienced increased levels of depression and anxiety in the subsequent year (T2). However, this association was not observed from T2 to T3. Throughout the three-year period, depression and anxiety were not associated with later alcohol use. In males, alcohol use at T1 was a predictor of higher internalizing symptoms at T2 but not from T2 to T3.

DISCUSSION

These results suggest time-sensitive impacts and notable gender differences in the relationship between internalizing symptoms and alcohol use over the pandemic. Given the complexity of impacts, ongoing evaluation of the impact of the pandemic on youth health behaviours is necessary to elucidate these unfolding relationships, especially as the pandemic continues to affect various psychosocial risk factors.

Relations between discrimination, rejection sensitivity, negative affect, and decrements in problem-solving ability following social rejection: An experimental investigation

INTRODUCTION

While negative affect and problem-solving deficits have been consistently linked to suicidal thoughts and behaviors, the latter are often conceptualized and studied as time- and/or context-invariant. Though requiring additional empirical support, theory suggests that discrimination may strengthen the relation between rejection sensitivity and increases in negative affect as well as declines in problem-solving abilities following rejection. The aim of the current study was to test this claim using a social rejection paradigm (i.e., Cyberball) with young adults experiencing past-month suicidal ideation.

METHODS

The sample consisted of 50 participants. Lifetime discrimination and rejection sensitivity were assessed prior to Cyberball. Negative affect and problem-solving abilities were assessed pre- and post-Cyberball. SPSS and the PROCESS macro were used to test relations among variables of interest.

RESULTS

Rejection sensitivity predicted greater problem-solving decrements, but not negative affect, following rejection among individuals who had experienced higher (vs. lower) levels of lifetime discrimination.

CONCLUSION

Addressing rejection sensitivity and sources of discrimination within the context of treatment may reduce the impact of social rejection on problem-solving abilities among young adults at risk for suicide.

Collective action against corruption in Western and non-Western countries: cross-cultural implications of the Axiological-Identitary Collective Action Model

People sometimes protest government corruption, yet our current understanding of why they do so is culturally constrained. Can we separate pancultural factors influencing people's willingness to protest government corruption from factors culturally specific to each socioecological context? Surprisingly little cross-cultural data exist on this important question. To fill this gap, we performed a cross-cultural test of the Axiological-Identitary Collective Action Model (AICAM) regarding the intention to protest against corruption. As a collective action framework, AICAM integrates three classical antecedents of collective action (injustice, efficacy, identity) with axiological variables (ideology and morality). A total sample of 2,316 participants from six countries (Nigeria, Russia, India, Spain, United States, Germany) in a multilevel analysis of AICAM predictions showed that the positive relationship of the intention to protest corruption with moral obligation, system-based anger, and national identification can be considered pancultural. In contrast, the relationships between system justification and perceived efficacy are culturally specific. System justification negatively predicted the intention to participate only in countries with high levels of wealth, while perceived efficacy positively predicted it only in countries perceived as less corrupt. These findings highlight the importance of accounting features of socioecology and separating pancultural from culture-specific effects in understanding collective action.

Exposing omitted moderators: Explaining why effect sizes differ in the social sciences

Policymakers increasingly rely on behavioral science in response to global challenges, such as climate change or global health crises. But applications of behavioral science face an important problem: Interventions often exert substantially different effects across contexts and individuals. We examine this heterogeneity for different paradigms that underlie many behavioral interventions. We study the paradigms in a series of five preregistered studies across one in-person and 10 online panels, with over 11,000 respondents in total. We find substantial heterogeneity across settings and paradigms, apply techniques for modeling the heterogeneity, and introduce a framework that measures typically omitted moderators. The framework's factors (Fluid Intelligence, Attentiveness, Crystallized Intelligence, and Experience) affect the effectiveness of many text-based interventions, producing different observed effect sizes and explaining variations across samples. Moderators are associated with effect sizes through two paths, with the intensity of the manipulation and with the effect of the manipulation directly. Our results motivate observing these moderators and provide a theoretical and empirical framework for understanding and predicting varying effect sizes in the social sciences.

Addressing climate change with behavioral science: A global intervention tournament in 63 countries

Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions' effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior-several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people's initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.

Polygamous Interest in a Mononormative Nation: The Roles of Sex and Sociosexuality in Polygamous Interest in a Heterosexual Sample from the UK

Polygamy is a form of "one-sided" consensually non-monogamous relationship where one person has multiple committed partners, each of whom is only involved with that one person. It was likely a reoccurring feature of ancestral mating that posed adaptive problems for our ancestors. Yet polygamy, and multi-partnering more generally, is understudied in Western cultures, raising questions about the existence of polygamous interest and whether this is calibrated adaptively to personal conditions. In two studies, we examined polygamous interest in two heterosexual online samples from the UK. In Study 1 (N = 393), modest interest was found for polygamous relationships overall. Men were six times more open to polygyny than women, but there was little sex difference in openness to polyandry. Further analysis revealed that all forms of multi-partnering were undesirable relative to singlehood and monogamy; however, consensual multi-partner relationships were less undesirable than non-consensual ones. Sex differences were largest for polygyny and arrangements where men had agreed access to a casual partner alongside a committed one, yet these were two of the most acceptable forms of multi-partnering when men and women's responses were combined. Sociosexuality positively predicted interest in most forms of multi-partnering. Study 2 (N = 735) focused on polygyny and added status-linked traits as predictors. The results of Study 1 were broadly replicated, though the status-linked traits did not predict polygynous interest specifically. Instead, sociosexuality and male intrasexual competitiveness uniquely predicted general interest in multi-partner relationships. Overall, interest in polygamy appears to emerge despite social discouragement and sex differences in interest track the relative costs and benefits associated with it. However, there is no strong evidence that polygamous interest is uniquely calibrated to personal conditions when compared to other forms of multi-partnering.

A framework for quantifying individual and collective common sense

The notion of common sense is invoked so frequently in contexts as diverse as everyday conversation, political debates, and evaluations of artificial intelligence that its meaning might be surmised to be unproblematic. Surprisingly, however, neither the intrinsic properties of common sense knowledge (what makes a claim commonsensical) nor the degree to which it is shared by people (its "commonness") have been characterized empirically. In this paper, we introduce an analytical framework for quantifying both these elements of common sense. First, we define the commonsensicality of individual claims and people in terms of the latter's propensity to agree on the former and their awareness of one another's agreement. Second, we formalize the commonness of common sense as a clique detection problem on a bipartite belief graph of people and claims, defining [Formula: see text] common sense as the fraction [Formula: see text] of claims shared by a fraction [Formula: see text] of people. Evaluating our framework on a dataset of [Formula: see text] raters evaluating [Formula: see text] diverse claims, we find that commonsensicality aligns most closely with plainly worded, fact-like statements about everyday physical reality. Psychometric attributes such as social perceptiveness influence individual common sense, but surprisingly demographic factors such as age or gender do not. Finally, we find that collective common sense is rare: At most, a small fraction [Formula: see text] of people agree on more than a small fraction [Formula: see text] of claims. Together, these results undercut universalistic beliefs about common sense and raise questions about its variability that are relevant both to human and artificial intelligence.

Deep transverse friction massage in the management of adhesive capsulitis: A systematic review

Objectives

To review published clinical trials which assessed the effects of deep transverse friction massage on pain and range of motion in patients with adhesive capsulitis.

Methods

A systematic review was conducted according to PRISMA guidelines. Literature search was performed in MEDLINE, AMED, EMBASE, HMIC, CINAHL, PEDRO, and SPORTDiscus. Two independent reviewers performed screening of the articles retrieved from different databases. Clinical trials published in English language from the earliest record to March 2022 that reported effects of deep transverse friction massage/Cyriax's friction massage on pain and/or range of motion in patients with diagnosis of adhesive capsulitis were included. The Critical Appraisal Skills Programme was used for quality assessment of the included studies.

Results

A total of six studies reporting on 226 adhesive capsulitis patients were included in the systematic review. All the six studies were randomized controlled clinical trials. On the Critical Appraisal Skills Programme tool, four of the six studies had a score of 8/11, while the other two studies received a score of 7/11 and 6/11. Out of these six trials, four reported that pain was significantly (P<0.05) improved in the deep transverse friction massage group as compared to the control group. Regarding range of motion outcome, five studies showed that range of motion was significantly (P<0.05) improved in the deep transverse friction massage group while only one study showed non-significant results.

Conclusion

It can be concluded that deep transverse friction massage significantly relieves pain and improves the range of motion in individuals with adhesive capsulitis.

Transportability of causal inference under random dynamic treatment regimes for kidney-pancreas transplantation

A difficult decision for patients in need of kidney-pancreas transplant is whether to seek a living kidney donor or wait to receive both organs from one deceased donor. The framework of dynamic treatment regimes (DTRs) can inform this choice, but a patient-relevant strategy such as "wait for deceased-donor transplant" is ill-defined because there are multiple versions of treatment (i.e., wait times, organ qualities). Existing DTR methods average over the distribution of treatment versions in the data, estimating survival under a "representative intervention." This is undesirable if transporting inferences to a target population such as patients today, who experience shorter wait times thanks to evolutions in allocation policy. We, therefore, propose the concept of a generalized representative intervention (GRI): a random DTR that assigns treatment version by drawing from the distribution among strategy compliers in the target population (e.g., patients today). We describe an inverse-probability-weighted product-limit estimator of survival under a GRI that performs well in simulations and can be implemented in standard statistical software. For continuous treatments (e.g., organ quality), weights are reformulated to depend on probabilities only, not densities. We apply our method to a national database of kidney-pancreas transplant candidates from 2001-2020 to illustrate that variability in transplant rate across years and centers results in qualitative differences in the optimal strategy for patient survival.

Natural Claims on Sugary Fruit Drinks: A Randomized Experiment With U.S. Parents

INTRODUCTION

Natural claims on food are largely unregulated in the U.S. This study examined the effects of natural claims on a fruit-flavored drink with added sugar (i.e., fruit drink).

METHODS

In 2019, U.S. parents of children aged 2-12 years (N=1,078) recruited from an online survey panel were randomized to one of three arms: natural claim on a fruit drink, 100% all-natural claim, or a no-claim control. Parents reported their intentions and perceptions regarding fruit drinks using 1-5 response scales. Analysis occurred in 2022-2023.

RESULTS

Both natural claims led parents to have higher intentions to purchase a fruit drink for their child than the control (average differential effect=0.20-0.24, both p<0.05). The natural claim (but not the 100% all-natural claim) also led parents to think that the fruit drink was healthier for their children (average differential effect=0.22, p=0.024). Claims made parents less likely to think that the drink contained added sugar (average differential effect= -0.08 to -0.12, both p<0.05) and led to lower estimated amounts of added sugar in teaspoons (average differential effect= -1.77 to -2.09, both p<0.05). Mediation analyses revealed that the claims led to higher intentions to purchase the fruit drink by increasing perceived healthfulness of the fruit drink and by leading parents to believe that there was no added sugar in the fruit drink.

CONCLUSIONS

Natural claims could increase interest in and perceived healthfulness of fruit drinks. Misperceptions about the nutritional content caused by claims appear to be driving greater purchase intentions. These findings suggest a need for stronger regulation around natural claims to prevent consumer misunderstanding.

Calling attention to opponents of climate action in climate and health messaging

Previous research suggests that providing information about the health effects of climate change and the health benefits of climate action can increase public engagement with the issue. We sought to extend those findings with an experiment to test the motivational value of calling attention to opponents of climate action. In February, 2022, we conducted a survey experiment with adults from the USA, quota-sampled to represent the USA population (n=2201). Participants were randomly assigned to a no-message control condition, or one of four message conditions identified as authored by concerned health professionals. These messages warned recipients about the negative effects of climate change on health, and either made no mention of an opponent to climate action, or were messages augmented by identifying one of three opponents: (1) fossil fuel chief executive officers and their lobbyists, (2) politicians, or (3) a combination of the two. Portrayal of opponents to climate action increased attitudinal engagement, support for mitigation policies, and intentions to advocate for climate solutions, compared with message conditions not identifying an opponent-with the combined opponent portrayal tending to result in the largest effects; these effects were evident with audiences across political lines, especially political conservatives. Climate and health messages-with or without portrayal of an opponent-also increased trust in the messengers relative to the no-message control. These findings suggest that identifying opponents to climate action can be advantageous to building support for such action, reducing political issue polarisation, and fostering greater trust in health professionals as climate messengers.

A pill as a quick solution: association between painkiller intake, empathy, and prosocial behavior

Previous research has demonstrated a link between the administration of analgesic drugs and the reduction of empathy levels in humans. This apparent blunting effect of pain medication has been explained through shared neural mechanisms for the first-hand and the empathic experience of pain (simulation theory). Considering that analgesics are among the most consumed drugs in the world and the ability to empathize with others is fundamental to human social interactions, the aim of the present study was to investigate whether the typical day-to-day analgesic consumption rate in Austria and Germany is associated with a reduction in empathy and prosocial behavior. We therefore collected self-reports of analgesic consumption behavior as well as empathy for pain and prosocial behavior measures in an online survey (n = 940). Analyses revealed no significant association between the analgesic intake frequency and measures of empathy or prosocial behavior. However, liberal intake of analgesics (i.e. mind-set of "a pill is a quick solution") was linked to lower empathic concern and helping behavior, which may hint towards a negative effect in people who take pain medication for non-pain related issues or episodes of low pain. Nevertheless, further research is needed to investigate the effects of analgesic drugs in high frequency users.

Supporting conservationists' mental health through better working conditions

Biodiversity conservation work can be challenging but rewarding, and both aspects have potential consequences for conservationists' mental health. Yet, little is known about patterns of mental health among conservationists and its associated workplace protective and risk factors. A better understanding might help improve working conditions, supporting conservationists' job satisfaction, productivity, and engagement, while reducing costs from staff turnover, absenteeism, and presenteeism. We surveyed 2311 conservation professionals working in 122 countries through an internet survey shared via mailing lists, social media, and other channels. We asked them about experiences of psychological distress, working conditions, and personal characteristics. Over half were from and worked in Europe and North America, and most had a university-level education, were in desk-based academic and practitioner roles, and responded in English. Heavy workload, job demands, and organizational instability were linked to higher distress, but job stability and satisfaction with one's contributions to conservation were associated with lower distress. Respondents with low dispositional and conservation-specific optimism, poor physical health, and limited social support, women, and early-career professionals were most at risk of distress in our sample. Our results flag important risk factors that employers could consider, although further research is needed among groups underrepresented in our sample. Drawing on evidence-based occupational health interventions, we suggest measures that could promote better working conditions and thus may improve conservationists' mental health and abilities to protect nature.

When tainted money should fund public goods: fundraising professional and public moral preferences

Philanthropy is essential to public goods such as education and research, arts and culture, and the provision of services to those in need. Providers of public goods commonly struggle with the dilemma of whether to accept donations from morally tainted donors. Ethicists also disagree on how to manage tainted donations. Forgoing such donations reduces opportunities for societal well-being and advancement; however, accepting them can damage institutional and individual reputations. Half of professional fundraisers have faced tainted donors, but only around a third of their institutions had relevant policies (n = 52). Here, we draw on two large samples of US laypeople (ns = 2,019; 2,566) and a unique sample of experts (professional fundraisers, n = 694) to provide empirical insights into various aspects of tainted donations that affect moral acceptability: the nature of the moral taint (criminal or morally ambiguous behavior), donation size, anonymity, and institution type. We find interesting patterns of convergence (rejecting criminal donations), divergence (professionals' aversion to large tainted donations), and indifference (marginal role of anonymity) across the samples. Laypeople also applied slightly higher standards to universities and museums than to charities. Our results provide evidence of how complex moral trade-offs are resolved differentially, and can thus motivate and inform policy development for institutions dealing with controversial donors.

HETEROGENEITY ANALYSIS VIA INTEGRATING MULTI-SOURCES HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO CANCER STUDIES

This study has been motivated by cancer research, in which heterogeneity analysis plays an important role and can be roughly classified as unsupervised or supervised. In supervised heterogeneity analysis, the finite mixture of regression (FMR) technique is used extensively, under which the covariates affect the response differently in subgroups. High-dimensional molecular and, very recently, histopathological imaging features have been analyzed separately and shown to be effective for heterogeneity analysis. For simpler analysis, they have been shown to contain overlapping, but also independent information. In this article, our goal is to conduct the first and more effective FMR-based cancer heterogeneity analysis by integrating high-dimensional molecular and histopathological imaging features. A penalization approach is developed to regularize estimation, select relevant variables, and, equally importantly, promote the identification of independent information. Consistency properties are rigorously established. An effective computational algorithm is developed. A simulation and an analysis of The Cancer Genome Atlas (TCGA) lung cancer data demonstrate the practical effectiveness of the proposed approach. Overall, this study provides a practical and useful new way of conducting supervised cancer heterogeneity analysis.

The political component of COVID-19 vaccine choice: Results from a conjoint experiment

OBJECTIVES

Prior research highlights the role of efficacy, vaccine safety, and availability in vaccine hesitancy. Research is needed to better understand the political driving forces behind COVID-19 vaccine uptake. We examine the effects of the origin of a vaccine, and approval status within the EU on vaccine choice. We also test if these effects differ by party affiliation among Hungarians.

STUDY DESIGN

We use a conjoint experimental design to assess multiple causal relationships. Respondents choose between two hypothetical vaccine profiles randomly generated from 10 attributes. The data were gathered from an online panel in September 2022. We applied a quota for vaccination status and party preference. Three hundred twenty-four respondents evaluated 3888 randomly generated vaccine profiles.

METHODS

We analyse the data using an OLS estimator with standard errors clustered by respondents. To further nuance our results, we test for task, profile, and treatment heterogeneity effects.

RESULTS

By origin, respondents prefer German (MM 0.55; 95% CI 0.52-0.58) and Hungarian (0.55; 0.52-0.59) vaccines over US (0.49; 0.45-0.52) and Chinese vaccines (0.44; 0.41-0.47). By approval status, vaccines approved by the EU (0.55, 0.52-0.57) or pending authorization (0.5, 0.48-0.53) are preferred over unauthorised ones (0.45, 0.43-0.47). Both effects are conditional on party affiliation. Government voters especially prefer Hungarian vaccines (0.6; 0.55-0.65) over others.

CONCLUSIONS

The complexity of vaccination decisions calls for the usage of information shortcuts. Our findings demonstrate a strong political component that motivates vaccine choice. We demonstrate that politics and ideology have broken into fields of individual-level decisions such as health.

Barriers and facilitators to the recruitment of disabled people to clinical trials: a scoping review

INTRODUCTION

Underrepresentation of disabled groups in clinical trials results in an inadequate evidence base for their clinical care, which drives health inequalities. This study aims to review and map the potential barriers and facilitators to the recruitment of disabled people in clinical trials to identify knowledge gaps and areas for further extensive research. The review addresses the question: 'What are the barriers and facilitators to recruitment of disabled people to clinical trials?'.

METHODS

The Joanna Briggs Institute (JBI) Scoping review guidelines were followed to complete the current scoping review. MEDLINE and EMBASE databases were searched via Ovid. The literature search was guided by a combination of four key concepts from the research question: (1) disabled populations, (2) patient recruitment, (3) barriers and facilitators, and (4) clinical trials. Papers discussing barriers and facilitators of all types were included. Papers that did not have at least one disabled group as their population were excluded. Data on study characteristics and identified barriers and facilitators were extracted. Identified barriers and facilitators were then synthesised according to common themes.

RESULTS

The review included 56 eligible papers. The evidence on barriers and facilitators was largely sourced from Short Communications from Researcher Perspectives (N = 22) and Primary Quantitative Research (N = 17). Carer perspectives were rarely represented in articles. The most common disability types for the population of interest in the literature were neurological and psychiatric disabilities. A total of five emergent themes were determined across the barriers and facilitators. These were as follows: risk vs benefit assessment, design and management of recruitment protocol, balancing internal and external validity considerations, consent and ethics, and systemic factors.

CONCLUSIONS

Both barriers and facilitators were often highly specific to disability type and context. Assumptions should be minimised, and study design should prioritise principles of co-design and be informed by a data-driven assessment of needs for the study population. Person-centred approaches to consent that empower disabled people to exercise their right to choose should be adopted in inclusive practice. Implementing these recommendations stands to improve inclusive practices in clinical trial research, serving to produce a well-rounded and comprehensive evidence base.

Would I lie to you? Party affiliation is more important than Brexit in processing political misinformation

In recent years, the UK has become divided along two key dimensions: party affiliation and Brexit position. We explored how division along these two dimensions interacts with the correction of political misinformation. Participants saw accurate and inaccurate statements (either balanced or mostly inaccurate) from two politicians from opposing parties but the same Brexit position (Experiment 1), or the same party but opposing Brexit positions (Experiment 2). Replicating previous work, fact-checking statements led participants to update their beliefs, increasing belief after fact affirmations and decreasing belief for corrected misinformation, even for politically aligned material. After receiving fact-checks participants had reduced voting intentions and more negative feelings towards party-aligned politicians (likely due to low baseline support for opposing party politicians). For Brexit alignment, the opposite was found: participants reduced their voting intentions and feelings for opposing (but not aligned) politicians following the fact-checks. These changes occurred regardless of the proportion of inaccurate statements, potentially indicating participants expect politicians to be accurate more than half the time. Finally, although we found division based on both party and Brexit alignment, effects were much stronger for party alignment, highlighting that even though new divisions have emerged in UK politics, the old divides remain dominant.

Discriminatory attitudes against unvaccinated people during the pandemic

During the COVID-19 pandemic, sizeable groups of unvaccinated people persist even in countries with high vaccine access¹. As a consequence, vaccination became a controversial subject of debate and even protest². Here we assess whether people express discriminatory attitudes in the form of negative affectivity, stereotypes and exclusionary attitudes in family and political settings across groups defined by COVID-19 vaccination status. We quantify discriminatory attitudes between vaccinated and unvaccinated citizens in 21 countries, covering a diverse set of cultures across the world. Across three conjoined experimental studies (n = 15,233), we demonstrate that vaccinated people express discriminatory attitudes towards unvaccinated individuals at a level as high as discriminatory attitudes that are commonly aimed at immigrant and minority populations^3-5. By contrast, there is an absence of evidence that unvaccinated individuals display discriminatory attitudes towards vaccinated people, except for the presence of negative affectivity in Germany and the USA. We find evidence in support of discriminatory attitudes against unvaccinated individuals in all countries except for Hungary and Romania, and find that discriminatory attitudes are more strongly expressed in cultures with stronger cooperative norms. Previous research on the psychology of cooperation has shown that individuals react negatively against perceived 'free-riders'^6,7, including in the domain of vaccinations^8,9. Consistent with this, we find that contributors to the public good of epidemic control (that is, vaccinated individuals) react with discriminatory attitudes towards perceived free-riders (that is, unvaccinated individuals). National leaders and vaccinated members of the public appealed to moral obligations to increase COVID-19 vaccine uptake^10,11, but our findings suggest that discriminatory attitudes-including support for the removal of fundamental rights-simultaneously emerged.

The past, present, and future of experimental methods in the social sciences

In the midst of the current causal revolution, experimental methods are increasingly embraced across the social sciences. We first document the growth in the use of the experimental method and then overview the current state of the field along with suggestions for future research. Our review covers the core features of experiments that facilitate causal inference, and we offer numerous examples of different experimental designs and the types of research questions they are well-suited to test. We then harmonize popular but differing perspectives on validity in regard to experiments focused on theoretical considerations. Next, we detail a new framework of purposive sampling for social science experiments, suggesting researchers could benefit from moving beyond only two stock choices of representativeness or convenience. We then discuss issues of analysis unique to experimental data before ending with a critical discussion of null findings, open-science practices, social desirability, and other open debates in the experimental methods literature.

Building mass support for global pandemic recovery efforts in the United States

Containing the COVID-19 pandemic will confer global benefits that greatly exceed the costs but effective solutions require the redistribution of vaccines, technology, and other scarce resources from high-income to low-income countries. The United States has played a central role in coordinating responses to previous global health challenges, and its policy choices in the current pandemic will have a far-reaching impact on the rest of the world. Yet little is known about domestic support for international recovery efforts. We use a series of conjoint and persuasive messaging experiments, fielded on two national surveys of the US adult population (N = 5,965), to study mass support for international redistribution. We find clear evidence that the general population strongly supports allocating vaccines to own-country recipients before others. But despite this "vaccine nationalism," Americans are also willing to support the US government playing a major role in global pandemic recovery efforts, provided policymakers forge international agreements that ensure moderate domestic costs, burden-sharing with other countries, and priority for certain types of resources, such as domestically manufactured vaccines and patent buyouts. Finally, we test five different persuasive messaging strategies and find that emphasizing the relatively low costs and large economic benefits of global vaccination is the most promising means of increasing domestic support for international redistribution. Overall, our results demonstrate that policymakers can secure broad public support for costly international cooperation by crafting responses aligned with the economic interests of the United States.

Parametric and Nonparametric Analysis of the Internal Structure of the Psychosocial Work Processes Questionnaire (PROPSIT) as Applied to Workers

The study of the dimensionality or internal structure of a measure has a definitional purpose with notable theoretical and practical implications; this aspect can be analyzed via both parametric and nonparametric approaches. The latter are probably used less often to validate constructs in the context of psychosocial work factors. The aim of the present manuscript was to employ both nonparametric (DETECT and AISP-Mokken) and parametric (semiconfirmatory factor analysis) procedures to analyze the internal structure of the Psychosocial Work Processes Questionnaire (PROPSIT) in the context of two samples of Peruvian workers located in the city of Lima, Perú, with one sample drawn from various work centers (n = 201) and the other comprising elementary education teachers (n = 158). The nonparametric results indicated that the content of the PROPSIT is sufficiently multidimensional to be able to describe a variety of psychosocial factors, while the parametric results require modification of the measurement model to obtain greater factorial congruence. In general, the analyses show a similar structure to those discussed by previous preliminary studies that have reported similar item-level performances. Some findings and considerations for future research are discussed.

When blame avoidance backfires: Responses to performance framing and outgroup scapegoating during the COVID-19 pandemic

Public officials use blame avoidance strategies when communicating performance information. While such strategies typically involve shifting blame to political opponents or other governments, we examine how they might direct blame to ethnic groups. We focus on the COVID-19 pandemic, where the Trump administration sought to shift blame by scapegoating (using the term "Chinese virus") and mitigate blame by positively framing performance information on COVID-19 testing. Using a novel experimental design that leverages machine learning techniques, we find scapegoating outgroups backfired, leading to greater blame of political leadership for the poor administrative response, especially among conservatives. Backlash was strongest for negatively framed performance data, demonstrating that performance framing shapes blame avoidance outcomes. We discuss how divisive blame avoidance strategies may alienate even supporters.

How Should ECMO Be Used Under Conditions of Severe Scarcity? A Population Study of Public Perception

OBJECTIVE

To assess societal preferences regarding allocation of extracorporeal membrane oxygenation (ECMO) as a rescue option for select patients with coronavirus disease 2019 (COVID-19).

DESIGN

Cross-sectional survey of a nationally representative sample.

SETTING

Amazon Mechanical Turk platform.

PARTICIPANTS

In total, responses from 1,041 members of Amazon Mechanical Turk crowd-sourcing platform were included. Participants were 37.9 ± 12.6 years old, generally white (65%), and college-educated (66.1%). Many reported working in a healthcare setting (22.5%) and having a friend or family member who was admitted to the hospital (43.8%) or died from COVID-19 (29.9%).

MEASUREMENTS AND MAIN RESULTS

Although most reported an unwillingness to stay on ECMO for >one week without signs of recovery, participants were highly supportive of ECMO utilization as a life-preserving technique on a policy level. The majority (96.7%) advocated for continued use of ECMO to treat COVID patients during periods of resource scarcity but would prioritize those with highest likelihood of recovery (50%) followed by those who were sickest regardless of survival chances (31.7%). Patients >40 years old were more likely to prefer distributing ECMO on a first-come first-served basis (21.5% v 13.3%, p < 0.05).

CONCLUSION

Even though participants expressed hesitation regarding ECMO in personal circumstances, they were uniformly in support of using ECMO to treat COVID patients at a policy level for others who might need it, even in the setting of severe scarcity.

Populational Perceptions Regarding Decision to Visit the Emergency Room with Chest Pain During COVID-19

INTRODUCTION

A significant decrease in emergency presentations of acute cardiac conditions has been observed during the COVID-19 pandemic. We aimed to understand perceptions that influence people's decisions whether to present to the emergency department (ED) with symptoms related to acute cardiovascular events to inform necessary medical communication.

METHODS

We recruited users of Amazon Mechanical Turk (Seattle, WA) to participate in a survey to elucidate perceptions of COVID-19 risk associated with a visit to the ED. A conjoint analysis was designed based on commonly reported factors associated with people's decisions to present to the ED during the pandemic to calculate preference utilities.

RESULTS

After exclusions, 1003 participants completed the survey between 12/5/2020 and 12/6/2020. Participants ranked the perceived risk of contracting COVID-19 at the ED as one of the highest, only second to that at bars and restaurants. Only 68% (685/1003) were willing to present to the ED immediately with severe chest pain. Fear of further transmitting the virus to loved ones was the most frequently cited reason for not presenting. Conjoint analysis demonstrated severe chest pain to be the dominant factor in the decision to present to the ED.

CONCLUSIONS

The risk of contracting COVID-19 while presenting to the ED for a life-threatening cardiovascular symptom is overestimated and is strongly affected by social factors.

Correcting inaccurate metaperceptions reduces Americans' support for partisan violence

Scholars, policy makers, and the general public have expressed growing concern about the possibility of large-scale political violence in the United States. Prior research substantiates these worries, as studies reveal that many American partisans support the use of violence against rival partisans. Here, we propose that support for partisan violence is based in part on greatly exaggerated perceptions of rival partisans’ support for violence. We also predict that correcting these inaccurate “metaperceptions” can reduce partisans’ own support for partisan violence. We test these hypotheses in a series of preregistered, nationally representative, correlational, longitudinal, and experimental studies (total n = 4,741) collected both before and after the 2020 US presidential election and the 2021 US Capitol attack. In Studies 1 and 2, we found that both Democrats’ and Republicans’ perceptions of their rival partisans’ support for violence and willingness to engage in violence were very inaccurate, with estimates ranging from 245 to 442% higher than actual levels. Further, we found that a brief, informational correction of these misperceptions reduced support for violence by 34% (Study 3) and willingness to engage in violence by 44% (Study 4). In the latter study, a follow-up survey revealed that the correction continued to significantly reduce support for violence approximately 1 mo later. Together, these results suggest that support for partisan violence in the United States stems in part from systematic overestimations of rival partisans’ support for violence and that correcting these misperceptions can durably reduce support for partisan violence in the mass public.

Dominant jerks: People infer dominance from the utterance of challenging and offensive statements