Use data to challenge mental-health stigma

Seeman, Neil

doi:10.1038/528309a

Cited by 46 publications

(5 citation statements)

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“…Unlike panel surveys, no incentives are provided and no personally identifiable information is exchanged. RIWI technology has been described as nonprobability, online intercept sampling [ 9 ], and has been previously employed to assess various topics such as health care quality [ 10 – 12 ], mental illness stigma [ 13 – 15 ], and anti-vaccine sentiment [ 16 ].…”

Section: Methodsmentioning

confidence: 99%

Masks, money, and mandates: A national survey on efforts to increase COVID-19 vaccination intentions in the United States

Sargent¹,

Laurie²,

Moncada³

et al. 2022

PLoS ONE

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Various efforts to increase COVID-19 vaccination rates have been employed in the United States. We sought to rapidly investigate public reactions to these efforts to increase vaccination, including self-reported responses to widespread reduced masking behavior, monetary incentive programs to get vaccinated, and work vaccination requirements. Using a unique method for data collection (Random Domain Intercept Technology), we captured a large (N = 14,152), broad-based sample of the United States Web-using population (data collected from June 30 –July 26, 2021). About 3/4 of respondents reported being vaccinated. The likelihood of vaccination and vaccination intention differed across various demographic indicators (e.g., gender, age, income, political leaning). We observed mixed reactions to efforts aimed at increasing vaccination rates among unvaccinated respondents. While some reported that specific efforts would increase their likelihood of getting vaccinated (between 16% and 32%), others reported that efforts would decrease their likelihood of getting vaccinated (between 17% and 42%). Reactions differed by general vaccination intention, as well as other demographic indicators (e.g., race, education). Our results highlight the need to fully understand reactions to policy changes, programs, and mandates before they are communicated to the public and employed. Moreover, the results emphasize the importance of understanding how reactions differ across groups, as this information can assist in targeting intervention efforts and minimizing potentially differential negative impact.

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Section: Methodsmentioning

confidence: 99%

Masks, money, and mandates: A national survey on efforts to increase COVID-19 vaccination intentions in the United States

Sargent¹,

Laurie²,

Moncada³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

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“…RIWI applied a Random Domain Intercept Technology (RIWI, 2020) to minimize sampling bias and aim at a representative sample of the population of corporate practitioners in the Myanmar context. This research technique is a well-established big data approach that has been applied in a variety of different contexts, ranging from surveys on mental health stigma (Seeman, 2015) to opinion-mining of citizen-driven accountability (Lee, 2014).…”

Section: Survey Methodologymentioning

confidence: 99%

Business, peacebuilding, violent conflict and sustainable development in Myanmar: presenting evidence from a new survey dataset

Miklian

Barkemeyer

2021

JABS

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Purpose This paper aims to present a new survey data set of 9,065 private sector respondents and other stakeholder groups, in Myanmar. The primary aim of this paper is to offer new insight avenues on local business–conflict–development interactions, and offer the full survey data set itself as an open-source research tool for scholars and practitioners. Design/methodology/approach The survey was conducted over smartphone in 2018. It asked questions that aimed to better understand the relationships between business, ethnic conflict, investment, corporate social responsibility and the United Nations sustainable development goals in Myanmar and in Rakhine State in particular. Findings The data set captures a series of significant differences in corporate leadership perspectives on the role of business in society, across sectors (e.g. banking, agriculture, retail, manufacturing, extractives) and variations across firm country of ownership (e.g. national firms, Global North firms, Indian firms, Chinese firms). Research limitations/implications The authors conclude with a brief discussion of possible research findings from the survey, offering suggestions for possible forward analysis. The authors offer here the raw survey data as an attachment for full global open-source use and application. Practical implications This data set offers a unique window into stakeholder perceptions and understandings of working through conflict, and the role of business in development in a fragile conflict-affected state (Myanmar). The authors also conduct two example analyses of the data set using ANOVA and Kruskal–Wallis tests to illustrate possible uses and findings of the data set. Social implications The authors briefly discuss social implications as well, particularly regarding the role of business in peacebuilding and development. Originality/value This data set offers a unique window into stakeholder perceptions and understandings of working through conflict, and the role of business in development in a fragile conflict-affected state (Myanmar). The authors also conduct two example analyses of the data set using ANOVA and Kruskal–Wallis tests to illustrate possible uses and findings of the data set.

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“…RIWI applied a Random Domain Intercept Technology [83] in order to minimize sampling bias and aim at a representative sample of the population of corporate practitioners in the Myanmar context. This research technique is a well-established big data approach that has been applied in a variety of different contexts, ranging from surveys on mental health stigma [84] to opinion-mining of citizen-driven accountability [85]. Specifically, "RIWI's proprietary Random Domain Intercept Technology (RDIT) allows for the rapid capture of large samples of broad, truly randomized opinion data, or to expose randomized populations to targeted communications on an ongoing basis in all countries.…”

Section: Methodsmentioning

confidence: 99%

Responsible Business in Fragile Contexts: Comparing Perceptions from Domestic and Foreign Firms in Myanmar

Barkemeyer

Miklian

2019

Sustainability

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After decades of isolation, Myanmar opened up its economy to international trade in 2012. This opening led to a rapid influx of international investment, exposure to the international corporate social responsibility (CSR) community and presumed pressures to conform to related norms and practices. We report on a large-scale survey of firms operating in Myanmar, comparing perceptions of corporate practitioners of CSR and the United Nations Sustainable Development Goals. Our findings show that awareness levels of CSR among domestic Myanmar firms match those of their international peers, but the application of and selection criteria for CSR implementation by domestic firms in Myanmar differs from typical CSR activities observed in other parts of the world, in particular by Global North firms. More surprisingly, Myanmar firms have a higher awareness of the Sustainable Development Goals (SDGs) than their multinational counterparts. Our findings have implications for CSR advocacy in Myanmar as well as for the dissemination of corporate responsibility and sustainability into the developing world more generally.

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Use data to challenge mental-health stigma

Abstract: Use data to challenge mental-health stigma Web surveys of attitudes towards mental illness reveal the size of the problem-and offer a way to find fixes, says Neil Seeman.

Cited by 46 publications

References 0 publications

Masks, money, and mandates: A national survey on efforts to increase COVID-19 vaccination intentions in the United States

Masks, money, and mandates: A national survey on efforts to increase COVID-19 vaccination intentions in the United States

Business, peacebuilding, violent conflict and sustainable development in Myanmar: presenting evidence from a new survey dataset

Responsible Business in Fragile Contexts: Comparing Perceptions from Domestic and Foreign Firms in Myanmar

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