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What are the differences between common statistical tests?

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dc.contributor.author Higgins, M.F.
dc.contributor.author Macken, Alan P.
dc.contributor.author Cullen, Walter
dc.contributor.author Saunders, Jean
dc.contributor.author Dunne, Colum P.
dc.contributor.author O'Gorman, Clodagh S.
dc.date.accessioned 2013-04-05T11:01:58Z
dc.date.available 2013-04-05T11:01:58Z
dc.date.issued 2013
dc.identifier.uri http://hdl.handle.net/10344/3012
dc.description peer-reviewed en_US
dc.description.abstract Statistics are essential components of quantitative (and qualitative) research that we all should know. We have sat through numerous lectures on the subject, and we know that we need to understand it and really should by now, even if only to not appear un-knowledgeable at journal club meetings. Still many people skip the section on statistical analysis when reading papers. Sometimes it feels that only those who have performed full time research really understand statistics - and not even then if they were lucky enough to have a statistician on their team. As part of our series of research tutorials we would now like to remove some of the mystery surrounding the art of statistics. Let’s start with the raw data…. en_US
dc.language.iso eng en_US
dc.publisher Irish Medical Organization en_US
dc.relation.ispartofseries Irish Medical Journal;supplement, 106(2), pp. 10-11
dc.subject statistics en_US
dc.subject quantitative/qualitative research en_US
dc.title What are the differences between common statistical tests? en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1416061


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