Campus Units

Management

Document Type

Conference Proceeding

Publication Version

Accepted Manuscript

Publication Date

7-29-2020

Journal or Book Title

The Academy of Management Proceedings

Volume

2020

Issue

1

DOI

10.5465/AMBPP.2020.14228symposium

Abstract

This symposium will introduce and discuss how scholars can improve upon statistical significance tests, which continue to constrain the production of knowledge in management science. The extensive use of these tests in quantitative research has led to the accumulation of ""statistically significant"" results that are both too small to be practically relevant and so small that they are unlikely to replicate. A field that aspires to provide useful advice to managers needs to focus on practically important and robust effects. The proposed symposium introduces and discusses alternative approaches to overcome the limitations of statistical significance tests - such as, effect size measures, confidence intervals, graphs, meta-analyses, baseline modeling and the implications of these approaches for the accumulation of scientific knowledge. A final ""Question and Answer"" session will offer additional opportunities for further discussions, advice and recommendations.

Comments

This accepted proceedings is published as Schwab, A., Starbucks, W.H., Why and How to Replace Statistical Significance Tests with Better Methods to Evaluate Hypotheses. Academy of Management Proceedings, 2020(1); doi: 10.5465/AMBPP.2020.14228symposium. Posted with permission.

Copyright Owner

Academy of Management

Language

en

File Format

application/pdf

Available for download on Thursday, July 29, 2021

Published Version

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