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Editorial: Introducing “short notes on methods”

Editorial: Introducing “short notes on methods” Editorial Editorial: Introducing “short notes on methods” Do you know when it is appropriate to use Cronbach’s α and when to use McDonald’s ω instead? And when is it relevant to disclose information about dependence/independence of observations in case study research? Why should you not arbitrarily fix alpha (Type I error) and beta (Type II error) when conducting statistical power analysis tests? How can you make sure your interview coding shows clear connections to your results? Over the time I have served as Editor-in-Chief of the International Journal of Organization Theory and Behavior (IJOTB), I kept asking questions such as the ones above to authors more often than I thought I would have had to. In general, I realized that there is much uncertainty surrounding methods and methodology [1]. This is not limited solely to evident procedural or calculation errors, but it extends to data presentation and reporting, to the disclosure of information and sometimes to a general misinterpretation of how and when a particular method should be used (or not). Some of these uncertainties resolve over editorial and peer- review processes, while others are so pervasive to prevent publication. I tend to believe that the articles submitted to http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Organization Theory and Behavior Emerald Publishing

Editorial: Introducing “short notes on methods”

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References (7)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1093-4537
DOI
10.1108/ijotb-12-2022-240
Publisher site
See Article on Publisher Site

Abstract

Editorial Editorial: Introducing “short notes on methods” Do you know when it is appropriate to use Cronbach’s α and when to use McDonald’s ω instead? And when is it relevant to disclose information about dependence/independence of observations in case study research? Why should you not arbitrarily fix alpha (Type I error) and beta (Type II error) when conducting statistical power analysis tests? How can you make sure your interview coding shows clear connections to your results? Over the time I have served as Editor-in-Chief of the International Journal of Organization Theory and Behavior (IJOTB), I kept asking questions such as the ones above to authors more often than I thought I would have had to. In general, I realized that there is much uncertainty surrounding methods and methodology [1]. This is not limited solely to evident procedural or calculation errors, but it extends to data presentation and reporting, to the disclosure of information and sometimes to a general misinterpretation of how and when a particular method should be used (or not). Some of these uncertainties resolve over editorial and peer- review processes, while others are so pervasive to prevent publication. I tend to believe that the articles submitted to

Journal

International Journal of Organization Theory and Behavior – Emerald Publishing

Published: Nov 10, 2022

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