Ebook: What if there were no significance tests?

This series was developed to encourage the use of rigorous methodology in the study of meaningful scientific issues, and to describe the applications in easy to understand language. The viewpoints span a range of perspectives, though the overriding theme is that significance testing may still be useful if supplemented with some or all of: Bayesian logic, caution, confidence intervals, effect sizes and power, other goodness of approximation measures, replication and meta-analysis, sound reasoning, and theory appraisal and corroboration. Rather than give definitive prescriptions, the chapters are largely suggestive of central issues, concerns, and application guidelines.  Read more...