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ERIC Number: EJ1443466
Record Type: Journal
Publication Date: 2024
Pages: 26
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1531-7714
Clearer Analysis, Interpretation, and Communication in Organizational Research: A Bayesian Guide
Karyssa A. Courey; Frederick L. Oswald; Steven A. Culpepper
Practical Assessment, Research & Evaluation, v29 Article 1 2024
Historically, organizational researchers have fully embraced frequentist statistics and null hypothesis significance testing (NHST). Bayesian statistics is an underused alternative paradigm offering numerous benefits for organizational researchers and practitioners: e.g., accumulating direct evidence for the null hypothesis (vs. 'fail to reject the null'), capturing uncertainty across a distribution of population parameters (vs. a 95% confidence interval on a single point estimate) -- and through these benefits, communicating statistical findings more clearly. Although organizational methodologists in the past have promoted Bayesian methods, only now is easy-to-use JASP statistical software available for more widespread implementation. Moreover, the software is free to download and use, is menu-driven, and is supported by an active multidisciplinary user community. Using JASP, our tutorial compares and contrasts frequentist and Bayesian approaches for two analyses: a multiple linear regression analysis and a linear mixed regression analysis.
University of Massachusetts Amherst Libraries. 154 Hicks Way, Amherst, MA 01003. e-mail: pare@umass.edu; Web site: https://openpublishing.library.umass.edu/pare/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A