What If There Were No Significance Tests?

This book challenges the current statistical inference practices by showcasing other options, features, and approaches to make accurate statistical inferences. The book suggests four areas as essential for making inferences - sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. It discusses various methods that may supplement significance testing procedures, Bayesian approaches and methods, and the use of confidence intervals versus significance tests. Ideal for anyone doing research in the social sciences or graduate courses in statistics or quantitative analysis.