11 research outputs found

    A PowerPack of SuperScientists: An innovative concept by African scientists to address gender bias and inequity in science [version 2; peer review: 1 approved, 1 approved with reservations]

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    Underrepresentation of women in scientific leadership is a global problem. To understand and counter narratives that limit gender equity in African science, we conducted a public engagement campaign. Scientists representing six sub-Saharan African countries and multiple career stages used superhero imagery to create a diverse and unified team advocating for gender equity in science. In contrast to many traditional scientific environments and global campaigns, this “PowerPack of SuperScientists” was led by early-career Black female scientists whose perspectives are often under-represented in discussions about gender equity in science. The superhero imagery served as a powerful and fun antidote to imposter syndrome and helped to subvert traditional power structures based on age, race and sex. In an interactive social media campaign, the PowerPack developed insights into three themes: a) cultural stereotypes that limit women’s scientific careers, b) the perception of a “conflict” between family and career responsibilities for women scientists, and c) solutions that can be adopted by key stakeholders to promote gender equity in African science. The PowerPack proposed solutions that could be undertaken by women working individually or collectively and interventions that require allyship from men, commitment from scientific institutions, and wider societal change. Further work is required to fully engage African scientists from even more diverse and disadvantaged backgrounds and institutions in these solutions and to enhance commitment by different stakeholders to achieving gender equity in science. Our experience suggests that creative tools should be used to subvert power dynamics and bring fresh perspectives and urgency to this topic.</ns4:p

    The Psychological Science Accelerator: Advancing Psychology Through a Distributed Collaborative Network

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    Source at https://doi.org/10.1177/2515245918797607.Concerns about the veracity of psychological research have been growing. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of large-scale collaboration in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. These projects can focus on novel research questions or replicate prior research in large, diverse samples. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time limited), efficient (in that structures and principles are reused for different projects), decentralized, diverse (in both subjects and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside the network). The PSA and other approaches to crowdsourced psychological science will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability

    A many-analysts approach to the relation between religiosity and well-being

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    The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β=0.120). For the second research question, this was the case for 65% of the teams (median reported β=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

    A Many-analysts Approach to the Relation Between Religiosity and Well-being

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    The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β = 0.120). For the second research question, this was the case for 65% of the teams (median reported β = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

    The Political Economy of Privatization: Empirical Evidence from Transition Economies

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    La présente étude donne une preuve systématique de l'aptitude de l'économie politique à expliquer les solutions nationales du droit de la propriété, indépendamment des pays et des secteurs. Un modèle politico-économique de la privatisation est développé et testé en se servant des progrès avec les privatisations petites et grandes&sol;importantes dans les 14 pays de transition du centre et est européen dans un laps de temps allant de 1994à 2000. Il est prouvé que les progrès divergents dans les grandes privatisations sont dus largement à des limitations structurelles et financières des décideurs politiques ainsi qu'à des constellations diverses de groupes d'intérêt nationaux. La petite privatisation par contre n'est pas affectée de manière décisive par les limitations politiques et les groupes d'intérêt. Ce résultat renforce l'hypothèse que l'aptitude de différentes théories à expliquer les changements de structures du droit de propriété dépend de manière décisive de la nature spécifique des structures initiales. Copyright WWZ and Helbing & Lichtenhahn Verlag AG 2004.

    A many-analysts approach to the relation between religiosity and well-being

    No full text

    A many-analysts approach to the relation between religiosity and well-being

    Get PDF
    The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported beta = 0.120). For the second research question, this was the case for 65% of the teams (median reported beta = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates
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