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Showing posts from December, 2023

The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else is Known

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The "New Statistics" emphasizes effect sizes, confidence intervals, meta-analysis, and the use of Open Science practices. We present 3 specific ways in which a New Statistics approach can help improve scientific practice: by reducing over-confidence in small samples, by reducing confirmation bias, and by fostering more cautious judgments of consistency. We illustrate these points through consideration of the literature on oxytocin and human trust, a research area that typifies some of the endemic problems that arise with poor statistical practice.  

Building Blocks for Better Science: Case Studies in Low-Cost and Open Tools for Science

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Tools (as well as the research they enable) are not just developed by and for the professional scientific research community, but by a wide range of commercial, academic, nonprofit, and community enterprises operating at a range of scales. Here, we outline 16 tools for science that are causing us to rethink the boundaries of scientific research. Looking across these tools and their individual impact on science and society, we begin to ask questions about their collective impact. How do low-cost tools impact science? Do these tools accelerate scientific progress or expand access, and to what extent? Finally, is the impact, and potential impact, of these tools incremental, or potentially revolutionary?