DiscoverThe JM BuzzIs It Time to Move Beyond Null Hypothesis Significance Testing?
Is It Time to Move Beyond Null Hypothesis Significance Testing?

Is It Time to Move Beyond Null Hypothesis Significance Testing?

Update: 2024-09-05
Share

Description

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

Comments 
In Channel
loading
00:00
00:00
x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

Is It Time to Move Beyond Null Hypothesis Significance Testing?

Is It Time to Move Beyond Null Hypothesis Significance Testing?

Journal of Marketing