Pub Date : 2023-09-14DOI: 10.1038/s41562-023-01677-8
Simone Lackner, Frederico Francisco, Cristina Mendonça, André Mata, Joana Gonçalves-Sá
Overconfidence is a prevalent problem and it is particularly consequential in its relation with scientific knowledge: being unaware of one’s own ignorance can affect behaviours and threaten public policies and health. However, it is not clear how confidence varies with knowledge. Here, we examine four large surveys, spanning 30 years in Europe and the United States and propose a new confidence metric. This metric does not rely on self-reporting or peer comparison, operationalizing (over)confidence as the tendency to give incorrect answers rather than ‘don’t know’ responses to questions on scientific facts. We find a nonlinear relationship between knowledge and confidence, with overconfidence (the confidence gap) peaking at intermediate levels of actual scientific knowledge. These high-confidence/intermediate-knowledge groups also display the least positive attitudes towards science. These results differ from current models and, by identifying specific audiences, can help inform science communication strategies. Lackner et al. show that individuals with an intermediate level of science knowledge tend to have overconfidence in their own knowledge and negative attitudes to science.
{"title":"Intermediate levels of scientific knowledge are associated with overconfidence and negative attitudes towards science","authors":"Simone Lackner, Frederico Francisco, Cristina Mendonça, André Mata, Joana Gonçalves-Sá","doi":"10.1038/s41562-023-01677-8","DOIUrl":"10.1038/s41562-023-01677-8","url":null,"abstract":"Overconfidence is a prevalent problem and it is particularly consequential in its relation with scientific knowledge: being unaware of one’s own ignorance can affect behaviours and threaten public policies and health. However, it is not clear how confidence varies with knowledge. Here, we examine four large surveys, spanning 30 years in Europe and the United States and propose a new confidence metric. This metric does not rely on self-reporting or peer comparison, operationalizing (over)confidence as the tendency to give incorrect answers rather than ‘don’t know’ responses to questions on scientific facts. We find a nonlinear relationship between knowledge and confidence, with overconfidence (the confidence gap) peaking at intermediate levels of actual scientific knowledge. These high-confidence/intermediate-knowledge groups also display the least positive attitudes towards science. These results differ from current models and, by identifying specific audiences, can help inform science communication strategies. Lackner et al. show that individuals with an intermediate level of science knowledge tend to have overconfidence in their own knowledge and negative attitudes to science.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 9","pages":"1490-1501"},"PeriodicalIF":29.9,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10297173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.1038/s41562-023-01678-7
We proposed a confidence metric and analysed data from five large surveys that spanned 30 years in Europe and the USA. We found that both overconfidence and negative attitudes towards science peak at intermediate knowledge levels.
{"title":"With some knowledge comes great confidence (and negative attitudes toward science)","authors":"","doi":"10.1038/s41562-023-01678-7","DOIUrl":"10.1038/s41562-023-01678-7","url":null,"abstract":"We proposed a confidence metric and analysed data from five large surveys that spanned 30 years in Europe and the USA. We found that both overconfidence and negative attitudes towards science peak at intermediate knowledge levels.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 9","pages":"1424-1425"},"PeriodicalIF":29.9,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10297172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-07DOI: 10.1038/s41562-023-01688-5
Diego Ellis-Soto, Melissa Chapman, Dexter H. Locke
Historic segregation and inequality are critical to understanding modern environmental conditions. Race-based zoning policies, such as redlining in the United States during the 1930s, are associated with racial inequity and adverse multigenerational socioeconomic levels in income and education, and disparate environmental characteristics including tree canopy cover across urban neighbourhoods. Here we quantify the association between redlining and bird biodiversity sampling density and completeness—two critical metrics of biodiversity knowledge—across 195 cities in the United States. We show that historically redlined neighbourhoods remain the most undersampled urban areas for bird biodiversity today, potentially impacting conservation priorities and propagating urban environmental inequities. The disparity in sampling across redlined neighbourhood grades increased by 35.6% over the past 20 years. We identify specific urban areas in need of increased bird biodiversity sampling and discuss possible strategies for reducing uncertainty and increasing equity of sampling of biodiversity in urban areas. Our findings highlight how human behaviour and past social, economic and political conditions not just segregate our built environment but may also leave a lasting mark on the digital information we have about urban biodiversity. In this study of bird biodiversity data from across 195 US cities, Ellis-Soto et al. show that historical redlining is associated with increasing inequality in sampling. Historically redlined neighbourhoods remain the most undersampled areas.
{"title":"Historical redlining is associated with increasing geographical disparities in bird biodiversity sampling in the United States","authors":"Diego Ellis-Soto, Melissa Chapman, Dexter H. Locke","doi":"10.1038/s41562-023-01688-5","DOIUrl":"10.1038/s41562-023-01688-5","url":null,"abstract":"Historic segregation and inequality are critical to understanding modern environmental conditions. Race-based zoning policies, such as redlining in the United States during the 1930s, are associated with racial inequity and adverse multigenerational socioeconomic levels in income and education, and disparate environmental characteristics including tree canopy cover across urban neighbourhoods. Here we quantify the association between redlining and bird biodiversity sampling density and completeness—two critical metrics of biodiversity knowledge—across 195 cities in the United States. We show that historically redlined neighbourhoods remain the most undersampled urban areas for bird biodiversity today, potentially impacting conservation priorities and propagating urban environmental inequities. The disparity in sampling across redlined neighbourhood grades increased by 35.6% over the past 20 years. We identify specific urban areas in need of increased bird biodiversity sampling and discuss possible strategies for reducing uncertainty and increasing equity of sampling of biodiversity in urban areas. Our findings highlight how human behaviour and past social, economic and political conditions not just segregate our built environment but may also leave a lasting mark on the digital information we have about urban biodiversity. In this study of bird biodiversity data from across 195 US cities, Ellis-Soto et al. show that historical redlining is associated with increasing inequality in sampling. Historically redlined neighbourhoods remain the most undersampled areas.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 11","pages":"1869-1877"},"PeriodicalIF":29.9,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10553310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-07DOI: 10.1038/s41562-023-01693-8
Frederic R. Hopp, Ori Amir, Jacob T. Fisher, Scott Grafton, Walter Sinnott-Armstrong, René Weber
Moral foundations theory (MFT) holds that moral judgements are driven by modular and ideologically variable moral foundations but where and how these foundations are represented in the brain and shaped by political beliefs remains an open question. Using a moral vignette judgement task (n = 64), we probed the neural (dis)unity of moral foundations. Univariate analyses revealed that moral judgement of moral foundations, versus conventional norms, reliably recruits core areas implicated in theory of mind. Yet, multivariate pattern analysis demonstrated that each moral foundation elicits dissociable neural representations distributed throughout the cortex. As predicted by MFT, individuals’ liberal or conservative orientation modulated neural responses to moral foundations. Our results confirm that each moral foundation recruits domain-general mechanisms of social cognition but also has a dissociable neural signature malleable by sociomoral experience. We discuss these findings in view of unified versus dissociable accounts of morality and their neurological support for MFT. Hopp et al. probe the neural (dis)unity of moral foundations theory and report that each moral foundation recruits domain-general mechanisms of social cognition but also has a dissociable neural signature malleable by sociomoral experience.
{"title":"Moral foundations elicit shared and dissociable cortical activation modulated by political ideology","authors":"Frederic R. Hopp, Ori Amir, Jacob T. Fisher, Scott Grafton, Walter Sinnott-Armstrong, René Weber","doi":"10.1038/s41562-023-01693-8","DOIUrl":"10.1038/s41562-023-01693-8","url":null,"abstract":"Moral foundations theory (MFT) holds that moral judgements are driven by modular and ideologically variable moral foundations but where and how these foundations are represented in the brain and shaped by political beliefs remains an open question. Using a moral vignette judgement task (n = 64), we probed the neural (dis)unity of moral foundations. Univariate analyses revealed that moral judgement of moral foundations, versus conventional norms, reliably recruits core areas implicated in theory of mind. Yet, multivariate pattern analysis demonstrated that each moral foundation elicits dissociable neural representations distributed throughout the cortex. As predicted by MFT, individuals’ liberal or conservative orientation modulated neural responses to moral foundations. Our results confirm that each moral foundation recruits domain-general mechanisms of social cognition but also has a dissociable neural signature malleable by sociomoral experience. We discuss these findings in view of unified versus dissociable accounts of morality and their neurological support for MFT. Hopp et al. probe the neural (dis)unity of moral foundations theory and report that each moral foundation recruits domain-general mechanisms of social cognition but also has a dissociable neural signature malleable by sociomoral experience.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 12","pages":"2182-2198"},"PeriodicalIF":29.9,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10535219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-07DOI: 10.1038/s41562-023-01686-7
Kevin R. McKee, Andrea Tacchetti, Michiel A. Bakker, Jan Balaguer, Lucy Campbell-Gillingham, Richard Everett, Matthew Botvinick
Effective approaches to encouraging group cooperation are still an open challenge. Here we apply recent advances in deep learning to structure networks of human participants playing a group cooperation game. We leverage deep reinforcement learning and simulation methods to train a ‘social planner’ capable of making recommendations to create or break connections between group members. The strategy that it develops succeeds at encouraging pro-sociality in networks of human participants (N = 208 participants in 13 groups) playing for real monetary stakes. Under the social planner, groups finished the game with an average cooperation rate of 77.7%, compared with 42.8% in static networks (N = 176 in 11 groups). In contrast to prior strategies that separate defectors from cooperators (tested here with N = 384 in 24 groups), the social planner learns to take a conciliatory approach to defectors, encouraging them to act pro-socially by moving them to small highly cooperative neighbourhoods. McKee et al. show that deep reinforcement learning can be used to learn a new and effective strategy for encouraging mutually beneficial cooperation in a network game.
{"title":"Scaffolding cooperation in human groups with deep reinforcement learning","authors":"Kevin R. McKee, Andrea Tacchetti, Michiel A. Bakker, Jan Balaguer, Lucy Campbell-Gillingham, Richard Everett, Matthew Botvinick","doi":"10.1038/s41562-023-01686-7","DOIUrl":"10.1038/s41562-023-01686-7","url":null,"abstract":"Effective approaches to encouraging group cooperation are still an open challenge. Here we apply recent advances in deep learning to structure networks of human participants playing a group cooperation game. We leverage deep reinforcement learning and simulation methods to train a ‘social planner’ capable of making recommendations to create or break connections between group members. The strategy that it develops succeeds at encouraging pro-sociality in networks of human participants (N = 208 participants in 13 groups) playing for real monetary stakes. Under the social planner, groups finished the game with an average cooperation rate of 77.7%, compared with 42.8% in static networks (N = 176 in 11 groups). In contrast to prior strategies that separate defectors from cooperators (tested here with N = 384 in 24 groups), the social planner learns to take a conciliatory approach to defectors, encouraging them to act pro-socially by moving them to small highly cooperative neighbourhoods. McKee et al. show that deep reinforcement learning can be used to learn a new and effective strategy for encouraging mutually beneficial cooperation in a network game.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 10","pages":"1787-1796"},"PeriodicalIF":29.9,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593606/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10553309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-07DOI: 10.1038/s41562-023-01689-4
Venla Niva, Alexander Horton, Vili Virkki, Matias Heino, Maria Kosonen, Marko Kallio, Pekka Kinnunen, Guy J. Abel, Raya Muttarak, Maija Taka, Olli Varis, Matti Kummu
Despite being a topical issue in public debate and on the political agenda for many countries, a global-scale, high-resolution quantification of migration and its major drivers for the recent decades remained missing. We created a global dataset of annual net migration between 2000 and 2019 (~10 km grid, covering the areas of 216 countries or sovereign states), based on reported and downscaled subnational birth (2,555 administrative units) and death (2,067 administrative units) rates. We show that, globally, around 50% of the world’s urban population lived in areas where migration accelerated urban population growth, while a third of the global population lived in provinces where rural areas experienced positive net migration. Finally, we show that, globally, socioeconomic factors are more strongly associated with migration patterns than climatic factors. While our method is dependent on census data, incurring notable uncertainties in regions where census data coverage or quality is low, we were able to capture migration patterns not only between but also within countries, as well as by socioeconomic and geophysical zonings. Our results highlight the importance of subnational analysis of migration—a necessity for policy design, international cooperation and shared responsibility for managing internal and international migration. Producing a high-resolution global net migration dataset for 2000–2019, Niva et al. analyse how migration affects urban and rural population growth and show that socioeconomic factors are more strongly associated with migration than climatic ones.
{"title":"World’s human migration patterns in 2000–2019 unveiled by high-resolution data","authors":"Venla Niva, Alexander Horton, Vili Virkki, Matias Heino, Maria Kosonen, Marko Kallio, Pekka Kinnunen, Guy J. Abel, Raya Muttarak, Maija Taka, Olli Varis, Matti Kummu","doi":"10.1038/s41562-023-01689-4","DOIUrl":"10.1038/s41562-023-01689-4","url":null,"abstract":"Despite being a topical issue in public debate and on the political agenda for many countries, a global-scale, high-resolution quantification of migration and its major drivers for the recent decades remained missing. We created a global dataset of annual net migration between 2000 and 2019 (~10 km grid, covering the areas of 216 countries or sovereign states), based on reported and downscaled subnational birth (2,555 administrative units) and death (2,067 administrative units) rates. We show that, globally, around 50% of the world’s urban population lived in areas where migration accelerated urban population growth, while a third of the global population lived in provinces where rural areas experienced positive net migration. Finally, we show that, globally, socioeconomic factors are more strongly associated with migration patterns than climatic factors. While our method is dependent on census data, incurring notable uncertainties in regions where census data coverage or quality is low, we were able to capture migration patterns not only between but also within countries, as well as by socioeconomic and geophysical zonings. Our results highlight the importance of subnational analysis of migration—a necessity for policy design, international cooperation and shared responsibility for managing internal and international migration. Producing a high-resolution global net migration dataset for 2000–2019, Niva et al. analyse how migration affects urban and rural population growth and show that socioeconomic factors are more strongly associated with migration than climatic ones.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 11","pages":"2023-2037"},"PeriodicalIF":29.9,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10535220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-07DOI: 10.1038/s41562-023-01699-2
We trained an artificial intelligence (AI) system to recommend different interactions and connections between humans playing a group game together. Through trial and error, the AI system learned to take an encouraging approach to uncooperative individuals, keeping them engaged with the group and boosting cooperation levels for everyone.
{"title":"AI learns to encourage group cooperation by making new connections","authors":"","doi":"10.1038/s41562-023-01699-2","DOIUrl":"10.1038/s41562-023-01699-2","url":null,"abstract":"We trained an artificial intelligence (AI) system to recommend different interactions and connections between humans playing a group game together. Through trial and error, the AI system learned to take an encouraging approach to uncooperative individuals, keeping them engaged with the group and boosting cooperation levels for everyone.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 10","pages":"1618-1619"},"PeriodicalIF":29.9,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10553308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-04DOI: 10.1038/s41562-023-01695-6
Michael Wolfowicz, Gian Maria Campedelli, Amber Seaward, Paul Gill
While countries differ in how they handle terrorism, criminal justice systems in Europe and elsewhere treat terrorism similar to other crime, with police, prosecutors, judges, courts and penal systems carrying out similar functions of investigations, apprehension, charging, convicting and overseeing punishments, respectively. We address a dearth of research on potential deterrent effects against terrorism by analysing data on terrorism offending, arrests, charges, convictions and sentencing over 16 years in 28 European Union member states. Applying both count and dynamic panel data models across multiple specifications, we find that increased probability of apprehension and punishment demonstrate an inverse relationship with terrorism offending, while the rate of charged individuals is associated with a small increase in terrorism. The results for sentence length are less clear but also indicate potential backlash effects. These findings unveil overlaps between crime and terrorism in terms of deterrent effects and have implications for both the research agenda and policy discussion. In a study of 28 European Union member states, Wolfowicz et al. found that increased levels of terrorism-related arrests and convictions are associated with decreases in terrorism. However, evidence concerning the role of more severe punishment was mixed.
{"title":"Arrests and convictions but not sentence length deter terrorism in 28 European Union member states","authors":"Michael Wolfowicz, Gian Maria Campedelli, Amber Seaward, Paul Gill","doi":"10.1038/s41562-023-01695-6","DOIUrl":"10.1038/s41562-023-01695-6","url":null,"abstract":"While countries differ in how they handle terrorism, criminal justice systems in Europe and elsewhere treat terrorism similar to other crime, with police, prosecutors, judges, courts and penal systems carrying out similar functions of investigations, apprehension, charging, convicting and overseeing punishments, respectively. We address a dearth of research on potential deterrent effects against terrorism by analysing data on terrorism offending, arrests, charges, convictions and sentencing over 16 years in 28 European Union member states. Applying both count and dynamic panel data models across multiple specifications, we find that increased probability of apprehension and punishment demonstrate an inverse relationship with terrorism offending, while the rate of charged individuals is associated with a small increase in terrorism. The results for sentence length are less clear but also indicate potential backlash effects. These findings unveil overlaps between crime and terrorism in terms of deterrent effects and have implications for both the research agenda and policy discussion. In a study of 28 European Union member states, Wolfowicz et al. found that increased levels of terrorism-related arrests and convictions are associated with decreases in terrorism. However, evidence concerning the role of more severe punishment was mixed.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 11","pages":"1878-1889"},"PeriodicalIF":29.9,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10526697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1038/s41562-023-01645-2
Zero-COVID-19 strategies used hard lockdown to save human lives. Our study used modern policy evaluation tools and high-quality longitudinal, nationally representative data and found that the lives saved during Melbourne’s hard 111-day lockdown came at a high cost to parents of young dependent children, and in particular mothers, as the lockdown continued.
{"title":"Examining the impact of Melbourne’s 2020 111-day lockdown on parents and other vulnerable groups","authors":"","doi":"10.1038/s41562-023-01645-2","DOIUrl":"10.1038/s41562-023-01645-2","url":null,"abstract":"Zero-COVID-19 strategies used hard lockdown to save human lives. Our study used modern policy evaluation tools and high-quality longitudinal, nationally representative data and found that the lives saved during Melbourne’s hard 111-day lockdown came at a high cost to parents of young dependent children, and in particular mothers, as the lockdown continued.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 10","pages":"1614-1615"},"PeriodicalIF":29.9,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10194174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-31DOI: 10.1038/s41562-023-01673-y
Yayouk E. Willems, Laurel Raffington
People tend to form partnerships with others who are similar to themselves. A new meta-analysis examines correlations between human mating partners, and finds correlations across nearly every trait studied. Education, social attitudes and substance use showed the highest correlations. Effect sizes differed between studies, suggesting potential cultural contingency.
{"title":"Trait correlations in human couples","authors":"Yayouk E. Willems, Laurel Raffington","doi":"10.1038/s41562-023-01673-y","DOIUrl":"10.1038/s41562-023-01673-y","url":null,"abstract":"People tend to form partnerships with others who are similar to themselves. A new meta-analysis examines correlations between human mating partners, and finds correlations across nearly every trait studied. Education, social attitudes and substance use showed the highest correlations. Effect sizes differed between studies, suggesting potential cultural contingency.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 9","pages":"1420-1421"},"PeriodicalIF":29.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10483791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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