Is It Time to Move Beyond Null Hypothesis Significance Testing?

Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and, more broadly, in the biomedical and social sciences. A Journal of Marketing study advocates for rethinking this approach entirely. Read an in-depth recap of this research here: https://www.ama.org/2023/12/12/time-to-abandon-null-hypothesis-significance-testing-moving-beyond-the-default-approach-to-statistical-analysis-and-reporting/ Read the full Journal of Marketing article here: https://doi.org/10.1177/00222429231216910 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. Narrator: Adalgisa Butkewitsch Acknowledgments: Sushma Kambagowni Topics: p-values, statistics, statistical significance, research The JM Buzz Podcast is a production of the American Marketing Association's Journal of Marketing and is produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠University FM

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The JM Buzz discusses cutting-edge marketing research. In each episode, we outline a forthcoming article in Journal of Marketing, the premier scholarly journal in the marketing field. Enjoy! The JM Buzz is a production of the Journal of Marketing and is produced by University FM.