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<p><em>Abstract</em>: Recent events have challenged psychological scientists to profoundly reconsider our research practices in the service of a shared goal: to maximize the evidentiary value of our science. Given that there are multiple possible means to achieve this goal, how do we choose between them? Proposing a one-size-fits-all set of best practices for the entire field risks inadvertently marginalizing certain subfields or researchers who face different sets of constraints and complexities in their particular research context. An alternative strategy is to start local, focusing first on what practices we could implement in our own lab that would best enable us to maximize the informational value of our research. The start-local approach affords two clear benefits. First, our own research gets better and it gets better right away—we don’t have to wait for field-wide change or agreement on new shared standards to reap the benefits of improving our science. Second, we begin to accrue much-needed information about what works—and what doesn’t work—in each particular research context, which we can then share with others to inform the thoughtful development of field-wide standards that are appropriately nuanced. After discussing these themes, I describe how I have implemented this approach in my own lab to construct a set of research practices and supporting infrastructure that facilitate the goal of “getting it right” (rather than just “getting it published”). Throughout the talk, I highlight the importance of finding a balance between the abstract ideals of a perfect science and the practical realities of limited resources and messy data. <a href="http://ledgerwood.faculty.ucdavis.edu" rel="nofollow">http://ledgerwood.faculty.ucdavis.edu</a></p>
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