The impact of GSAs, school size, and geographic location on school climate in South Texas

While gay-straight alliances (GSAs) play a role in improving the well-being and sense of safety for LGBTQ students, additional factors such as school size, geographical location, and the community climate at large may have more controlling implications for school diversity and acceptance. This survey research type, quantitative study, investigates the retrospective responses of subjects from two Hispanic-Serving Institutions to examine the impact of GSAs, school size, and geographic location on school climates in rural South Texas high schools. Results suggest that the effect of GSAs on school diversity and acceptance may be diminished in a conservative, rural setting. Other factors (school size, geographic location, and community climate at large) may play a greater role in establishing school diversity and acceptance. Further research is warranted to uncover the mechanisms that drive school diversity and acceptance in conservative, rural geographical locations like South Texas

Crowdsourcing hypothesis tests: Making transparent how design choices shape research results

To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer fiveoriginal research questions related to moral judgments, negotiations, and implicit cognition. Participants from two separate large samples (total N > 15,000) were then randomly assigned to complete one version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same hypothesis: materials from different teams renderedstatistically significant effects in opposite directions for four out of five hypotheses, with the narrowest range in estimates being d = -0.37 to +0.26. Meta-analysis and a Bayesian perspective on the results revealed overall support for two hypotheses, and a lack of support for three hypotheses. Overall, practically none of the variability in effect sizes was attributable to the skill of the research team in designing materials, while considerable variability was attributable to the hypothesis being tested. In a forecasting survey, predictions of other scientists were significantly correlated with study results, both across and within hypotheses. Crowdsourced testing of research hypotheses helps reveal the true consistency of empirical support for a scientific claim.</div

Religious Americans Have Less Positive Attitudes Toward Science, But This Does Not Extend To Other Cultures

It is commonly claimed that science and religion are logically and psychologically at odds with one another. However, previous studies have mainly examined American samples: therefore, generalisations about antagonism between religion and science may be unwarranted. We examined the correlation between religiosity and attitudes towards science across 11 studies, including representative data from 60 countries (N = 66,438), nine convenience samples from the U.S. (N = 2,160), and a cross-national panel sample from five understudied countries (N = 1,048). Results show that, within the U.S., religiosity is consistently associated with lower interest in science topics and activities, and less positive explicit and implicit attitudes towards science. However, this relationship is inconsistent around the world, with positive, negative, and null correlations being observed in various countries. Our findings are inconsistent with the idea that science and religion are necessarily at odds, undermining common theories of scientific advancement undermining religion

Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention

Across two studies with more than 1,700 U.S. adults recruited online, we present evidence that people share false claims about COVID-19 partly because they simply fail to think sufficiently about whether or not the content is accurate when deciding what to share. In Study 1, participants were far worse at discerning between true and false content when deciding what they would share on social media relative to when they were asked directly about accuracy. Furthermore, greater cognitive reflection and science knowledge were associated with stronger discernment. In Study 2, we found that a simple accuracy reminder at the beginning of the study (i.e., judging the accuracy of a non-COVID-19-related headline) nearly tripled the level of truth discernment in participants’ subsequent sharing intentions. Our results, which mirror those found previously for political fake news, suggest that nudging people to think about accuracy is a simple way to improve choices about what to share on social media

COS Ambassadors

A collection of materials and resources for COS ambassadors

Crowdsourcing hypothesis tests: making transparent how design choices shape research results

To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer five original research questions related to moral judgments, negotiations, and implicit cognition. Participants from two separate large samples (total N > 15,000) were then randomly assigned to complete one version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same hypothesis: materials from different teams rendered statistically significant effects in opposite directions for four out of five hypotheses, with the narrowest range in estimates being d = -0.37 to +0.26. Meta-analysis and a Bayesian perspective on the results revealed overall support for two hypotheses, and a lack of support for three hypotheses. Overall, practically none of the variability in effect sizes was attributable to the skill of the research team in designing materials, while considerable variability was attributable to the hypothesis being tested. In a forecasting survey, predictions of other scientists were significantly correlated with study results, both across and within hypotheses. Crowdsourced testing of research hypotheses helps reveal the true consistency of empirical support for a scientific claim