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Alternative to Null Hypothesis Significance Testing (NHST): Understanding the Bayesian Approach
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Won-Woo | - |
dc.contributor.author | Kim, Hyerim | - |
dc.contributor.author | Kim, Heekyung | - |
dc.contributor.author | Shin, Gahee | - |
dc.contributor.author | Um, Cyril | - |
dc.date.accessioned | 2019-12-27T03:03:55Z | - |
dc.date.available | 2019-12-27T03:03:55Z | - |
dc.date.issued | 2016-12 | - |
dc.identifier.citation | 경영논집, Vol.50, pp. 77-106 | - |
dc.identifier.issn | 2384-2849 | - |
dc.identifier.other | 07-000059 | - |
dc.identifier.uri | https://hdl.handle.net/10371/162954 | - |
dc.description.abstract | Null Hypothesis Significance Testing is the most widely used method of analysis in social science. However, there are inherent limitations of NHST. We discuss the problems of using NHST and suggest alternative ways to solve the problems, focusing on Bayesian statistics. To supplement the limitation of NHST it has been argued that providing information regarding the effect size and confidence interval are useful. Furthermore, Bayesian statistics, which is an independent stream of study, has gained attention. We introduce the basic concept of Bayesian statistics and the application of the method in organizational research. | - |
dc.description.sponsorship | This study was supported by the Institude of Management Research at Seoul National University. | - |
dc.language.iso | ko | - |
dc.publisher | 서울대학교 경영대학 경영연구소 | - |
dc.title | Alternative to Null Hypothesis Significance Testing (NHST): Understanding the Bayesian Approach | - |
dc.type | SNU Journal | - |
dc.contributor.AlternativeAuthor | 박원우 | - |
dc.contributor.AlternativeAuthor | 김혜림 | - |
dc.contributor.AlternativeAuthor | 김희경 | - |
dc.contributor.AlternativeAuthor | 신가희 | - |
dc.citation.journaltitle | 경영논집 | - |
dc.citation.endpage | 106 | - |
dc.citation.pages | 77-106 | - |
dc.citation.startpage | 77 | - |
dc.citation.volume | 50 | - |
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