Rethinking Statistical Practices in Research

Is it time for marketers and researchers to abandon null hypothesis significance testing? A new Journal of Marketing study says yes.

Join host Christopher Bechler (University of Notre Dame) for a fascinating discussion about a new Journal of Marketing study that advocates for a major transition in statistical analysis and reporting. He talks with study authors Blake McShane, Eric Bradlow, John Lynch, and Robert Meyer, as well as Fred Feinberg, about breaking away from the stubborn focus on a p-value's position relative to .05.

Reference: Blakeley B. McShane, Eric T. Bradlow, John G. Lynch, Jr., and Robert J. Meyer, “‘Statistical Significance’ and Statistical Reporting: Moving Beyond Binary,” Journal of Marketing.

Fred Feinberg's commentary is available here.

Read a quick recap of this research: https://www.ama.org/2023/12/12/time-to-abandon-null-hypothesis-significance-testing-moving-beyond-the-default-approach-to-statistical-analysis-and-reporting/

Topics: research, statistical significance, p-values, replication, science

The JM Buzz Podcast is a production of the American Marketing Association's Journal of Marketing and is produced by ⁠⁠University FM