 FOLLOW-UP OF FISHER F TEST WITH SIGNIFICANTLY LOW VALUES IN SMALL SAMPLESAlina Barbu ()
Journal of Doctoral Research in Economics, 2011, vol. 3, issue 2, 41-48 Abstract: Fisher’s F-test, a common statistical choice for testing differences between groups, has been found to return unusually small, significant values. This paper presents a follow-up of two examples from medical surveys which registered significantly low F-values when testing for differences between evaluations (marks) given by physicians in different specialties. A new wave of the two surveys has been conducted, but did not register low F-ratios. The datasets of the two waves are compared for specific traits which may have caused the low F-ratios in the original wave. Results confirmed some of the previous findings (e.g. normality should always be tested because non-normal data may “hide” behind normal F-ratios), but showed similar conditions of sample size, non-normality of data and influence of a second variable (locality). The main conclusion of the follow-up is that neither of these causes, alone or acting together, guarantees that significantly low F-ratios will occur. This makes generalisation, or preventing low F-ratios, a difficult, if not impossible task. Keywords: Fisher’s F-test; significantly low F-ratio; medical marketing research; non-normality (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:aes:jdreco:v:3:y:2011:i:2:p:41-48 Access Statistics for this article More articles in Journal of Doctoral Research in Economics from The Bucharest University of Economic Studies Contact information at EDIRC. |
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