Sequential global statistical tests: A novel method for evaluating primary, secondary, and exploratory variables in a hierarchy with an accumulated evidence approach

Key Points

• The novel method for evaluating primary variables reveals a hierarchy that integrates secondary and exploratory variables with accumulated evidence.
• A key metric of this approach enhances the reliability of statistical tests in complex studies across various sectors.
• Analysis introduces a sequential framework that allows for the assessment of multiple variable types efficiently over time.
• Implications support improved decision-making in research design, highlighting the need for robust statistical frameworks.