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Preregistration books focus on the practice of specifying research questions, hypotheses, outcomes, and analysis plans before examining data to reduce bias and improve transparency and reproducibility. This category includes practical guides with templates, step-by-step instructions, power analysis advice, and platform walk-throughs (such as OSF, ClinicalTrials.gov, AsPredicted, and Registered Reports), as well as critical overviews of the history, policy landscape, and debates surrounding preregistration. Readers will find case studies from psychology, biomedicine, economics, and other fields, along with adaptations for observational and qualitative research and guidance on integrating preregistration into lab and institutional workflows. Aimed at researchers, students, reviewers, and funders, these books equip readers to plan, register, and report studies with greater rigor and credibility.

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