Foundations of Better Statistical Questions in Empirical Research

Many empirical studies fail not because of the data, but because the underlying statistical questions lack clarity or depth. Without a well-defined question, even the most advanced analysis can lead to ambiguous or uninformative conclusions. This course guides you through the process of refining your research inquiries to ensure your studies provide valuable insights, whether your initial predictions are supported or not. You will learn to move beyond standard routines and think critically about what makes a research question worth asking in a modern scientific context. What you'll learn: - Understand the core principles of framing informative statistical questions - Design studies that remain valuable even when predictions are incorrect - Apply modern research practices like preregistration to enhance study rigor - Evaluate common research norms and identify areas for methodological improvement - Practice techniques for estimating meaningful effect sizes and justifying sample choices - Master the art of creating falsifiable hypotheses that lead to clearer conclusions The course begins with foundational definitions and key terminology before moving into practical strategies for study design and critical reflection on current research standards. You will progress through written explanations and conceptual exercises designed to sharpen your analytical thinking. This course is designed for beginners in empirical research, including students and early-career researchers, with no prior advanced statistical knowledge required. Start building a stronger foundation for your empirical research today.