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This chapter reviews a broad emerging literature on research transparency and reproducibility. This recent literature finds that problems with publication bias, specification searching, and an inability to reproduce empirical findings create clear deviations from the scientific pillars of openness and transparency of research. These failings can also result in incorrect inferences.
New methods and tools have emerged over the past decade to address pervasive problems of publication bias, p-hacking, and lack of reproducibility. This chapter reviews some of these advances, considering the strengths and shortcomings of each. Meta-analysis, study registration, pre-analysis plans, improved disclosure policies, and open data are all considered.
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