Mapping the Structure of Human Values through Conceptual Representations

The present research provides the first direct examination of human values through concept categorization tasks that entail judging the meaning of values. Seven studies containing data from nine samples (N = 1086) in two countries (the UK and Brazil) asked participants to compare the meaning of different values found within influential quasi-circumplex model of values. Different methods were used across experiments, including direct similarity judgment tasks, pile sorting, and spatial arrangement. The results of these diverse conceptual assessments corresponded to spatial configurations that are broadly convergent with Schwartz's model, both between and within participants

The Perception of Family, City, and Country Values Is Often Biased

People often make inferences about the values of other people in their families, cities, and countries, but there are reasons to expect systematic biases in these inferences. Across four studies ( N = 1,763), we examined people’s perceptions of the values of their families, fellow citizens of the cities in which they live, and compatriots across three nations (Brazil, Germany, the United Kingdom). Our results show that people systematically misperceive comparison groups’ values. People underestimate the importance that their compatriots ascribe to more important values and overestimate the importance of less important values. This occurs in comparison with their own values, the actual values of the people living in the same city and the actual values of their compatriots. The effect sizes were medium to large. Furthermore, the results occurred independently of participants’ culture, time spent in the culture, and the underlying value model used. These results consistently show that people’s speculations about values in their community and society are biased in a self- and family favoring direction. In addition, we found that the structure of values (e.g., as proposed by Schwartz) holds for perceived family, fellow citizens of the cities in which they live, and compatriots’ values. Overall, our findings suggest that the values of other people are more selfless than is often believed

A short version of the big five inventory (Bfi-20): Evidence on construct validity

Several measures were developed in the past decades to measure personality, focusing on the Big Five Factor Model (BFFM; Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism). Despite the relevance of their findings in different countries, a shared limitation of such measures is their length, demanding time from researchers and participants, which might cause boredom or fatigue, biasing the final results. This research aimed to provide a shorter version for the 44-Item Big Five Inventory (BFI), through two studies (NTotal = 8,119). The structure was assessed using a range of techniques (e.g., PAF analysis, Procrustes rotation). The best 20 items (4 per factor) were chosen to compose the final version of the BFI-20, which presented suitable psychometric evidences across the samples. Thus, due the growing need for shorter measures without losing their psychometric quality, our findings indicate the adequacy of the 20-item BFI and its potential applicability in research context

Need for Affect and Attitudes Toward Drugs: The Mediating Role of Values

Human values and affective traits were found to predict attitudes toward the use of different types of drugs (e.g., alcohol, marijuana, and other illegal drugs). In this study (N = 196, Mage = 23.09), we aimed to gain a more comprehensive understanding of those predictors of attitudes toward drug use in a mediated structural equation model, providing a better overview of a possible motivational path that drives to such a risky behavior. Specifically, we predicted and found that the relations between need for affect and attitudes toward drug use were mediated by excitement values. Also, results showed that excitement values and need for affect positively predicted attitudes toward the use of drugs, whereas normative values predicted it negatively. The pattern of results remained the same when we investigated attitudes toward alcohol, marijuana, or illegal drugs separately. Overall, the findings indicate that emotions operate via excitement and normative values to influence risk behavior

Decisional and emotional forgiveness scales: Psychometric validity and correlates with personality and vengeance.

Forgiveness is an internal process to overcome negative aspects (e.g., anger, bitterness, resentment) towards an offender, being associated to a range of variables (e.g., well-being, quality of loving relationships, resilience). Forgiveness can happen through two different types: (1) decisional, which is a behavioural modification to reduce direct hostility; and (2) emotional, which is a transformation of negative emotions into positive. The current research aimed to gather psychometric evidences for the Decisional Forgiveness Scale (DFS) and the Emotional Forgiveness Scale (EFS), using a Brazilian sample. Two studies were conducted. In Study 1 (n = 181), the bifactorial structures were replicated, also providing satisfactory reliability levels. Through Item Response Theory, results indicated good discrimination, difficulty levels, and considerable information to all the items from both measures. In Study 2 (n = 220), confirmatory factor analyses confirmed their structure, presenting good model fit. The measures were also invariant regarding participants’ gender. Finally, the measures presented significant results when correlated to personality and vengeance. In sum, the instruments demonstrated satisfactory psychometric properties, evidencing the possibility of their use in the respective context.The authors acknowledge financial support from the CAPES Foundation (Brazil, http://www.capes.gov.br/) for the Ph.D. scholarship to the second author. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

The psychological science accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

A global experiment on motivating social distancing during the COVID-19 pandemic

Finding communication strategies that effectively motivate social distancing continues to be a global public health priority during the COVID-19 pandemic. This cross-country, preregistered experiment (n = 25,718 from 89 countries) tested hypotheses concerning generalizable positive and negative outcomes of social distancing messages that promoted personal agency and reflective choices (i.e., an autonomy-supportive message) or were restrictive and shaming (i.e., a controlling message) compared with no message at all. Results partially supported experimental hypotheses in that the controlling message increased controlled motivation (a poorly internalized form of motivation relying on shame, guilt, and fear of social consequences) relative to no message. On the other hand, the autonomy-supportive message lowered feelings of defiance compared with the controlling message, but the controlling message did not differ from receiving no message at all. Unexpectedly, messages did not influence autonomous motivation (a highly internalized form of motivation relying on one’s core values) or behavioral intentions. Results supported hypothesized associations between people’s existing autonomous and controlled motivations and self-reported behavioral intentions to engage in social distancing. Controlled motivation was associated with more defiance and less long-term behavioral intention to engage in social distancing, whereas autonomous motivation was associated with less defiance and more short- and long-term intentions to social distance. Overall, this work highlights the potential harm of using shaming and pressuring language in public health communication, with implications for the current and future global health challenges

The Psychological Science Accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

The Psychological Science Accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data