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Rethinking Statistical Practices in Research
This chapter critiques the overreliance on p-values in statistical analysis, arguing for a more nuanced approach to interpreting research data. It highlights the challenges posed by dichotomizing results and the implications for replication and effect size estimation in behavioral research. The discussion emphasizes the necessity of transparent data sharing and adaptive statistical practices to improve research outcomes and mitigate publication biases.