94 datasets found
  1. Elements of social pressure for young Spaniards 2023, by gender

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Elements of social pressure for young Spaniards 2023, by gender [Dataset]. https://www.statista.com/statistics/1307024/factors-social-pressure-young-people-spain/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2022 - May 2023
    Area covered
    Spain
    Description

    In 2023, young women and men in Spain reported feeling a great deal of pressure to succeed at work or in their studies and not to disappoint others. The pressure to succeed was the most common, with 55.4% of women feeling this pressure. Overall, young female Spaniards felt more pressure than their male counterparts, with the exception of one element: being successful in flirting.

  2. m

    Data from: Navigating Peer Pressure, Digital Age, and New Populism

    • data.mendeley.com
    Updated Jun 7, 2024
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    Ranjit Singha (2024). Navigating Peer Pressure, Digital Age, and New Populism [Dataset]. http://doi.org/10.17632/sktj83xyhp.1
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    Dataset updated
    Jun 7, 2024
    Authors
    Ranjit Singha
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This essay examines the relationship between peer pressure, the digital age, and new populism, focusing on the challenges faced by youthful individuals. Social media amplify peer pressure and reckless behavior. Youth are attracted to the new populism by its promises of change and defiance. Providing adolescents with the ability to think critically is essential for navigating information – inclusion-promoting environments to combat polarization. Youth participation in politics generates positive change. Collaboration enables youth to confront obstacles, fostering an informed and equitable society.

  3. Empirical Data of the Public Policy Research (PPR) Funding Scheme Project...

    • data.gov.hk
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    data.gov.hk, Empirical Data of the Public Policy Research (PPR) Funding Scheme Project (Project No: 2016.A7.011.16C) “Energy Behavior Patterns in Hong Kong: The Role of Bounded Rationality and Peer Pressure in Air Conditioner Use” [Dataset]. https://data.gov.hk/en-data/dataset/hk-cepu-prfs-funding-scheme-project-no-2016-a7-011-16c
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    Dataset provided by
    data.gov.hk
    Area covered
    Hong Kong
    Description

    Principal Investigator: Prof FUNG Chi Hung, Jimmy Institution/Think Tank: The Hong Kong University of Science and Technology Five years after completion of the research projects granted under the PPR Funding Scheme, quantitative empirical data generated from the research would be released to the public. Only research raw data (e.g. surveys) of completed projects that are provided in file format of comma-separated values (CSV) will be uploaded under the Open Data Plan. Raw data provided in formats other than CSV will only be uploaded onto the scheme’s webpage. PPR Funding Scheme’s webpage: https://www.cepu.gov.hk/en/PRFS/research_report.html Users of the data sets archived are required to acknowledge the research team and the Government. [Remarks: Parts of the data sets archived may contain Chinese/English version only.]

  4. d

    Smoking, Drinking and Drug Use Among Young People in England - 2010

    • digital.nhs.uk
    pdf
    Updated Jul 28, 2011
    + more versions
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    (2011). Smoking, Drinking and Drug Use Among Young People in England - 2010 [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/smoking-drinking-and-drug-use-among-young-people-in-england
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    pdf(189.4 kB), pdf(278.3 kB), pdf(4.3 MB), pdf(218.7 kB)Available download formats
    Dataset updated
    Jul 28, 2011
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 2010 - Dec 31, 2010
    Area covered
    England
    Description

    This report contains results from an annual survey of secondary school pupils in England in years 7 to 11 (mostly aged 11 to 15). 7,296 pupils in 246 schools completed questionnaires in the autumn term of 2010. The National Centre for Social Research (NatCen) and the National Foundation for Educational Research (NFER) carried out the survey on behalf of The NHS Information Centre for health and social care. The Home Office and The Department for Education also have an interest in the statistics. This is the most recent survey in a series that began in 1982. Each survey since 1998 has included a core set of questions on smoking, drinking and drug use and, since 2000 the remainder of the questions have focused in alternate years on smoking and drinking or on drug use. The emphasis of the 2010 survey is on smoking and drinking whilst still containing some information on drug use. The survey report presents information on the percentage of pupils who have ever smoked, tried alcohol or taken drugs. The report also explores the attitudes and beliefs of school children towards smoking and drinking and from where and from whom children obtain cigarettes and alcohol. Relationships between smoking, drinking and drug use are explored along with the links between smoking, drinking and drug use and other factors such as age, gender, ethnicity and previous truancy or exclusion.

  5. U.S. teens: feelings on what they see on social media 2022

    • statista.com
    Updated Nov 14, 2023
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    Statista (2023). U.S. teens: feelings on what they see on social media 2022 [Dataset]. https://www.statista.com/statistics/1422691/us-teens-social-media-content-feelings/
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    Dataset updated
    Nov 14, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 14, 2022 - May 4, 2022
    Area covered
    United States
    Description

    A survey conducted in 2022 found that 45 percent of teen girls in the United States felt overwhelmed by the drama they witnessed on social media. About one-third of teen girls said they felt pressure to post content that would get a lot of comments or likes. In general, teen girls in the United States reported having more negative feelings about using social media than boys.

  6. Data from: CBS News/New York Times Teenage Problems Poll, May 1994

    • icpsr.umich.edu
    ascii, spss
    Updated Jun 21, 2000
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    Inter-university Consortium for Political and Social Research [distributor] (2000). CBS News/New York Times Teenage Problems Poll, May 1994 [Dataset]. http://doi.org/10.3886/ICPSR06597.v2
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    ascii, spssAvailable download formats
    Dataset updated
    Jun 21, 2000
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6597/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6597/terms

    Time period covered
    May 1994
    Description

    This special topic poll queried American teenagers on the problems they face. Specific topics included drugs, crime, guns, teen pregnancy, alcohol, AIDS, and racism. Respondents were asked about problems with school, peer pressure, their opinions on the future of American teenagers, and whether they personally knew anyone who had been shot in the past five years. Other questions asked teens whether their parents were divorced, separated, or together, how likely it was that they themselves would be divorced in the future, and whether they would consider becoming a single parent. Background information on respondents includes household composition, political orientation, education, age, sex, race, and religious preference.

  7. d

    Data from: Agent-Based Model to Manage Household Water Use Through...

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 30, 2023
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    Ryan James; David E Rosenberg (2023). Agent-Based Model to Manage Household Water Use Through Social-Environmental Strategies of Encouragement and Peer Pressure [Dataset]. https://search.dataone.org/view/sha256%3A190bf28674e15b68e8c22ab0fc1372e6bb6c0f4a1457ff43e6208050cf236e94
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    Dataset updated
    Dec 30, 2023
    Dataset provided by
    Hydroshare
    Authors
    Ryan James; David E Rosenberg
    Area covered
    Description

    Municipal water managers use demand-side strategies to reduce water demand needs in order to meet the available supply. Demand-side strategies can include increasing the cost of use to drive conservation, offering rebates on upgrading inefficient appliance’s to more effective and lower use versions, and public outreach programs that educate the population on the benefits of water conservation. However, each of these strategies look at appliance retrofits, not behavioral changes. Managers could increase the effectiveness of existing strategies with more information on how, why, and when users decide to reduce their own water use. This project introduces an agent-based model (a type of computational method that uses autonomous beings for the purpose of assessing their emergent effects on the whole system) to addresses how to quantify phycological factors of the household decision making process when it comes to adopting new water conservation techniques. This was accomplished by introducing three new survey derived behavioral attributes (attitudes, peer support, opportunities) and building social-environmental management strategies (encouragement, peer pressure) that capitalize on the strengths of those behaviors. Project input data was specific to Logan, Utah and comes from several sources (iUTAH 2014 survey, the Utah Mapping Portal, local weather monitoring stations, and studies of indoor water use). Results were as follows. Validation between model water use and municipal billing data worked well for indoor use with the matching of appliances to the household occupancy size as the high-frequency data set used was a good representation of indoor water use. Outdoor use validation was complicated due to the difficulty of limiting the wide variation in plant and soil composition, landscape watering methods including secondary water use, and over- and under- watering between household users. Quantified psychological factors on water use showed that the encouragement strategy reduced water use because it could be tailored to target different levels of water users, the peer pressure strategy reduced more because it could self-regulate outliers providing the networks were small and diverse, and combining both strategies saved the most because when working in tandem they increased the number of exchanges occurring which helped overcome limitations of the strategy implemented alone. Mangers can focus policy on these users by implementing a target use based on household size and observable landscape size and by recommending opportunities to conserve water through monthly bills. Managers should provide a framework for households to share their water use stories and information on new water wise techniques households have yet to adopt.

  8. o

    Data from: Digital Peer Influence Theory

    • osf.io
    Updated Oct 31, 2024
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    Yoesoep Rachmad (2024). Digital Peer Influence Theory [Dataset]. http://doi.org/10.17605/OSF.IO/NBPKJ
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    Center For Open Science
    Authors
    Yoesoep Rachmad
    Description

    Rachmad, Yoesoep Edhie. 2023. Digital Peer Influence Theory. Tehran Azadi Ketab Nashriyat, Mahsoos Nashriyat 2023. https://doi.org/10.17605/osf.io/nbpkj

    The Digital Peer Influence Theory, formulated by Yoesoep Edhie Rachmad and detailed in his 2023 publication "Tehran Azadi Ketab Nashriyat, Mahsoos Nashriyat," explores the mechanisms and effects of peer influence within digital environments, particularly focusing on how individuals' behaviors, preferences, and decisions are shaped by their online social circles. Rachmad's research, initiated in 2016, investigates the profound impact of digital interactions on consumer choices, highlighting how modern connectivity transforms traditional peer influence dynamics. This theory emerges from an understanding that, in the digital age, peer influence extends far beyond physical interactions. Social media platforms, online forums, and digital communities have expanded the scope and scale of peer influence, enabling individuals to be impacted by not only close friends and family but also by broader networks that can span the globe. The Digital Peer Influence Theory posits that digital peer influence operates through several key channels, including social media interactions, user-generated content, online reviews, and shared online experiences. These channels facilitate a complex web of influence that significantly affects individuals' attitudes and behaviors. Rachmad argues that digital peer influence is not just about direct recommendations or overt pressures; it also encompasses the subtle cues and signals that individuals absorb from their online networks, such as likes, shares, and comments. Rachmad concludes that the digital peer influence is powerful because it combines the wide reach of traditional media with the personal relevance of close social interactions. This influence is potent in shaping consumer behaviors, political opinions, and even personal identities. He suggests that understanding this can help businesses and organizations to more effectively harness the power of social networks for marketing, customer engagement, and behavior change initiatives. He recommends that entities seeking to leverage digital peer influence develop strategies that genuinely engage communities, foster authentic interactions, and provide value that encourages sharing and discussion. Additionally, Rachmad emphasizes the importance of monitoring and analyzing social media trends and interactions to gain insights into consumer preferences and behaviors, allowing for more targeted and effective engagement strategies. Overall, the Digital Peer Influence Theory provides a nuanced perspective on how digital environments amplify peer influence and shape modern social dynamics. It offers critical insights for anyone looking to understand or influence trends, behaviors, and decisions within digital communities.   Table of Contents Rachmad, Yoesoep Edhie. 2023. "Digital Peer Influence Theory." Tehran Azadi Ketab Nashriyat, Mahsoos Nashriyat. [DOI: https://doi.org/10.17605/osf.io/nbpkj]

    Chapter 1: Introduction to Digital Peer Influence Exploring the Evolution of Peer Influence in the Digital Age............3 The Impact of Connectivity on Social Dynamics............................21 Why Digital Peer Influence Matters...........................................39 Chapter 2: Channels of Digital Peer Influence Social Media as a Platform for Peer Influence................................57 The Role of User-Generated Content and Online Reviews.............75 Shared Online Experiences and Their Influence.............................93 Chapter 3: Mechanisms of Influence in Digital Spaces Direct vs. Indirect Peer Influence Online....................................111 Subtle Cues: Likes, Shares, Comments, and Their Impact...........129 The Spread of Trends and Viral Content......................................147 Chapter 4: Digital Peer Influence on Consumer Behavior How Peer Influence Shapes Buying Decisions............................165 Case Studies in Influential Online Reviews..................................183 Social Proof and Its Role in Modern Marketing............................201 Chapter 5: Digital Peer Influence Beyond Consumerism Influence on Political Opinions and Social Movements................219 The Shaping of Personal Identities Through Digital Interactions...237 The Power of Online Communities in Health and Wellness...........255 Chapter 6: Harnessing Digital Peer Influence in Marketing Strategies for Leveraging Peer Influence in Campaigns...............273 Engaging Communities for Organic Reach................................291 Building Authentic Interactions to Foster Sharing.........................309 Chapter 7: Measuring and Analyzing Digital Peer Influence Tools for Tracking Online Trends and Engagement.....................327 Social Media Analytics: Understanding Peer Networks................345 Interpreting Data to Drive Effective Strategies..............................363 Chapter 8: Challenges and Limitations of Digital Peer Influence Addressing Misinformation and Digital Echo Chambers...............381 Navigating Privacy Concerns in Peer Influence Strategies............399 The Risks of Manipulating Peer Influence...................................417 Chapter 9: Case Studies in Effective Digital Peer Influence Successful Examples from Various Industries...............................435 Learning from Campaigns That Went Viral...................................453 When Peer Influence Backfires: Lessons from Failed Efforts..........471 Chapter 10: The Future of Digital Peer Influence Emerging Trends in Digital Connectivity.....................................489 The Role of Artificial Intelligence in Peer Influence........................507 Predictions for the Evolution of Peer Influence Online....................525

    Appendices Appendix A: Glossary of Key Terms in Digital Peer Influence............543 Appendix B: Framework for Developing Peer Influence Strategies....561 Appendix C: Sample Social Media Analytics Report Template..........579 References Selected Bibliography on Digital Influence and Social Media...........597 Index Comprehensive Index of Terms and Topics Covered.......................617

    AUTHOR PROFILE
    In 2016, the author earned the title of Doctor of Humanity, hold a Ph.D. in Information Technology and a DBA in General Management. Since 2016, the author has been teaching at international universities in Malaysia, Singapore, Thailand, and the USA. In 1999, the author founded the Education Training Centre (ETC), an organization dedicated to providing educational services and social support for the underprivileged. This organization offers shelter homes for children in need of a safe place to live and drop-in schools for those who need to continue their education. The ETC is also involved in research aimed at advancing science, which led to the author earning the title of Professor and joining the WPF. Additionally, the author is actively involved in global social development programs through the United Nations. They are a member of the UN Global Compact (id-137635), the UN Global Market (id-709131), and the UN ECOSOC (id-677556). The author has served as a reviewer for several international journals and book chapters, and has written numerous books and articles on a wide range of topics including Philosophy, Economics, Management, Arts and Culture, Anthropology, Law, Psychology, Education, Sociology, Health, Technology, Tourism, and Communication.

  9. D

    Data from: Peer-Influence on risk-taking in male adolescents with mild to...

    • dataverse.nl
    • narcis.nl
    Updated Jun 10, 2020
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    Anika Bexkens; Anika Bexkens (2020). Peer-Influence on risk-taking in male adolescents with mild to borderline intellectual disabilities and/or behavior disorders [Dataset]. http://doi.org/10.34894/T7YKZ7
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    doc(54144), application/x-spss-sav(41112), pdf(988329), doc(580), zip(701515), zip(9713833)Available download formats
    Dataset updated
    Jun 10, 2020
    Dataset provided by
    DataverseNL
    Authors
    Anika Bexkens; Anika Bexkens
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Bexkens A., Huizenga H.M., Neville D.A., d'Escury-Koenigs A.L.C., Bredman J.C., Wagemaker E. & Van der Molen M.W. (2019). Journal of Abnormal Child Psychology.

  10. Impact of other people's gaze on women's makeup habits in France 2020

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Impact of other people's gaze on women's makeup habits in France 2020 [Dataset]. https://www.statista.com/statistics/1140149/influence-peoples-gaze-french-women-makeup/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 9, 2020 - Jun 12, 2020
    Area covered
    France
    Description

    In 2020, a majority of French women agreed that social pressure played a role on their decision to wear makeup regularly. However, the influence of peers was not evaluated equally among all of them. ** percent of women wearing makeup regularly declared that they were doing it more for themselves than for others. Conversely, * percent of women deemed the influence of other people more significant than their own will to put makeup on.

  11. H

    Replication Data for: Can Social Pressure Foster Responsiveness? An Open...

    • dataverse.harvard.edu
    Updated May 30, 2020
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    Bryant Moy (2020). Replication Data for: Can Social Pressure Foster Responsiveness? An Open Records Field Experiment with Mayoral Offices [Dataset]. http://doi.org/10.7910/DVN/EHVA7Y
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 30, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Bryant Moy
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This paper examines the extent to which social pressures can foster greater responsiveness among public officials. I conduct a non-deceptive field experiment on 1400 city executives across all 50 states and measure their level of responsiveness to open records requests. I use two messages to prime social pressure. The first treatment centers on the norm and duty to be responsive to the public's request for transparency. The second treatment is grounded in the peer effects literature, which suggests that individuals change their behavior in the face of potential social sanctioning and accountability. I find no evidence that mayors are affected by priming the officials' duty to the public. The mayors who received the peer effects prime were 6-8 percentage points less likely to respond, which suggests a `backfire effect.' This paper contributes to the growing responsiveness literature on the local level and the potential detrimental impact of priming peer effects.

  12. f

    Data from: Relationship between social skills, stress, age, sex, school type...

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
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    Sheila Francisca Machado; Sérgio Henrique de Souza Alves; Patrícia Fagundes Caetano (2023). Relationship between social skills, stress, age, sex, school type and school grade in adolescents [Dataset]. http://doi.org/10.6084/m9.figshare.14307491.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Sheila Francisca Machado; Sérgio Henrique de Souza Alves; Patrícia Fagundes Caetano
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract During adolescence many changes occur in adolescent life. They have to develop social skills, behaviors that composes the repertoire of an individual to respond the social demands adequately. They face some situations that can cause stress, which is the reaction of the body to restore its balance after going through stressor situation. The present study aimed to investigate the correlation of social skills and stress variables: sex, age, type of school attended and grade. For this was used Psychological tests ESA (Stress Scale for Adolescents) and IHSA-Del-Prette(Inventory of Social Skills for Adolescents). The obtained results permit to conclude that there is a correlation between stress and the variables gender, age and type of school attended, as well as between the emission of social skills and the type of school attended. The hypothesis that the female students had more social skills than the students was not confirmed, nor it was confirmed that men have more difficulties in issuing the answers than women.

  13. d

    Replication Data for: \"Neighborly Social Pressure and Collective Action:...

    • search.dataone.org
    Updated Sep 24, 2024
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    Jöst, Prisca (2024). Replication Data for: \"Neighborly Social Pressure and Collective Action: Evidence from A Field Experiment in Tunisia\" [Dataset]. http://doi.org/10.7910/DVN/ISPMXE
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Jöst, Prisca
    Area covered
    Tunisia
    Description

    Research on political participation almost unanimously assumes that social pressure by neighbors induces collective behavior. Yet most experimental studies focus on individually based forms of political and civic behavior, such as voting and recycling, in Western industrialized societies. The paper tests the effect of neighborly social pressure on collective action in Tunisia. In a field experiment, I manipulate whether neighbors or community outsiders invite citizens to contribute to a public good (i.e., trash collection). I run the experiment in three neighborhoods of varying socioeconomic composition in Tunis (n=1199). I do not find evidence to suggest that neighborly social pressure encourages participation in neighborhood cleanups, with low participation rates both for the neighbor and outsider contact conditions. While the effect of social pressure does not significantly vary across communities, overall participation rates do. Residents of the poor neighborhood are most likely to respond in a socially desirable way when asked about their intentions but least likely to participate. The paper also discusses some limitations of the study and outlines avenues for future research.

  14. f

    Descriptive statistics (N = 7,978).

    • figshare.com
    xls
    Updated Jun 3, 2023
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    Aliaksandr Amialchuk; Ales Kotalik (2023). Descriptive statistics (N = 7,978). [Dataset]. http://doi.org/10.1371/journal.pone.0160664.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Aliaksandr Amialchuk; Ales Kotalik
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive statistics (N = 7,978).

  15. f

    The moderating effect of peer pressure.

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 19, 2025
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    Bing Ma; Xiaoqi Dong; Peng Shao; Zhen Chen (2025). The moderating effect of peer pressure. [Dataset]. http://doi.org/10.1371/journal.pone.0321525.t006
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    xlsAvailable download formats
    Dataset updated
    May 19, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Bing Ma; Xiaoqi Dong; Peng Shao; Zhen Chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    To achieve the ‘carbon peaking and carbon neutrality’ objectives, there has been a growing interest in corporate environmental, social, and governance (ESG) performance from governmental and supervisory bodies. This heightened focus has posed critical theoretical and practical questions on how firms can enhance their ESG performance to facilitate their transition to a green economy. From a stakeholder perspective, this study examines data from 724 listed Chinese companies spanning 2015–2021. It aims to elucidate the relationship between benefit drivers (such as media attention, financing constraints, and government subsidies) and corporate ESG performance, along with investigating the mediating role of green technology innovation and the moderating influence of peer pressure in this context. The findings suggest that both media attention and government subsidies positively correlate with ESG performance, while financing constraints exhibit a negative correlation. Moreover, green technology innovation serves as a mediator between benefit drivers and corporate ESG performance. Furthermore, peer pressure can serve as a positive moderator in the relationship between media attention and green technology innovation, as well as in the negative relationship between financing constraints and green technology innovation. Conversely, it can negatively moderate the positive relationship between government subsidies and green technology innovation. Heterogeneity analysis reveals that in enterprises with superior resource acquisition capabilities, benefit drivers exert a more pronounced influence on corporate ESG performance. Similarly, in state-owned enterprises, benefit drivers also have a heightened impact on corporate ESG performance.

  16. d

    Replication Data for: A Race to the Top? The Aid Transparency Index and the...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Honig, Daniel; Weaver, Catherine (2023). Replication Data for: A Race to the Top? The Aid Transparency Index and the Social Power of Global Performance Indicators [Dataset]. http://doi.org/10.7910/DVN/3GQTYA
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Honig, Daniel; Weaver, Catherine
    Description

    Recent studies on global performance indicators (GPIs) reveal the distinct power that nonstate actors can accrue and exercise in world politics. How and when does this happen? Using a mixed-methods approach, we examine the impact of the Aid Transparency Index (ATI), an annual rating and rankings index produced by the small UK-based NGO Publish What You Fund. The ATI seeks to shape development aid donors’ behavior with respect to their transparency—the quality and kind of information they publicly disclose. To investigate the ATI’s effect, we construct an original panel data set of donor transparency performance before and after ATI inclusion (2006–2013) to test whether (and which) donors alter their behavior in response to inclusion in the ATI. To further probe the causal mechanisms that explain variations in donor behavior we use qualitative research, including over 150 key informant interviews conducted between 2010 and 2017. Our analysis uncovers the conditions under which the ATI influences powerful aid donors. Our mixed-methods evidence reveals how this happens. Consistent with Kelley’s and Simmons’s central argument that GPIs exercise influence via social pressure, we find that the ATI shapes donor behavior primarily via direct effects on elites: the diffusion of professional norms, organizational learning, and peer pressure.

  17. Pressures on Canadian parents to feed their kids healthy food 2019

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Pressures on Canadian parents to feed their kids healthy food 2019 [Dataset]. https://www.statista.com/statistics/1039178/kid-s-healthy-eating-sources-of-pressure-canada/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 27, 2019 - Jul 3, 2019
    Area covered
    Canada
    Description

    Social media is a key influencer when it comes to making healthy food choices for children among Canadian parents. During a survey carried out in June and July of 2019, some ** percent of respondents stated that social media was a source of pressure to make such choices, whilst ** percent stated that information in the news influenced their choices.

  18. D

    Data from: Sit is not lit: Examining the impact of message framing,...

    • researchdata.ntu.edu.sg
    pdf, tsv
    Updated Apr 24, 2025
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    DR-NTU (Data) (2025). Sit is not lit: Examining the impact of message framing, modality, and peer influence on attitudes and intentions to reduce sedentary behavior [Dataset]. http://doi.org/10.21979/N9/98GITF
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    tsv(240542), pdf(10420913), pdf(13937144)Available download formats
    Dataset updated
    Apr 24, 2025
    Dataset provided by
    DR-NTU (Data)
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Dataset funded by
    The National Youth Council
    Ministry of Education (MOE)
    Description

    This is for "Sit is not lit: Examining the impact of message framing, modality, and peer influence on attitudes and intentions to reduce sedentary behavior" paper

  19. d

    Replication Data for: Information Transmission in Groups: Peer Influence in...

    • search.dataone.org
    Updated Mar 6, 2024
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    Ahn, Tom; Cunha, Jesse; Veith, Patrick (2024). Replication Data for: Information Transmission in Groups: Peer Influence in High-stakes, Irreversible Financial Decisions [Dataset]. http://doi.org/10.7910/DVN/TBUGVA
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    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Ahn, Tom; Cunha, Jesse; Veith, Patrick
    Description

    readme file, data dictionary, and Stata .do files. Visit https://dataone.org/datasets/sha256%3A87ecfb16dc44609c138fada565a7a26222715bbc94eca3ca34b5a8f1212ddc9a for complete metadata about this dataset.

  20. Influence of social media on purchasing behavior in the U.S. 2024, by age

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Influence of social media on purchasing behavior in the U.S. 2024, by age [Dataset]. https://www.statista.com/statistics/1535716/social-media-influences-buyers-in-the-united-states/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, YouTube was the most influential social media for survey respondents from 18 to 44 years. TikTok influenced **** of the consumers in the youngest threshold. The social media with the greatest influence on survey respondents from the age of 45 to 54 was Facebook. For buyers 55 years old and above YouTube had the most impact.

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Statista (2025). Elements of social pressure for young Spaniards 2023, by gender [Dataset]. https://www.statista.com/statistics/1307024/factors-social-pressure-young-people-spain/
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Elements of social pressure for young Spaniards 2023, by gender

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Dataset updated
Jan 22, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jun 2022 - May 2023
Area covered
Spain
Description

In 2023, young women and men in Spain reported feeling a great deal of pressure to succeed at work or in their studies and not to disappoint others. The pressure to succeed was the most common, with 55.4% of women feeling this pressure. Overall, young female Spaniards felt more pressure than their male counterparts, with the exception of one element: being successful in flirting.

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