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dc.contributor.authorWitte, E.H.
dc.date.accessioned2008-11-17
dc.date.accessioned2015-12-01T10:30:36Z-
dc.date.available2008-11-17
dc.date.available2015-12-01T10:30:36Z-
dc.date.issued1994
dc.identifier.otherurn:nbn:de:bsz:291-psydok-22777-
dc.identifier.urihttp://hdl.handle.net/20.500.11780/491-
dc.description.abstractDue to the many misconceptions surrounding the common significance tests, a catalogue of demands to be satisfied by statistical induction is developed. The result of such criteria is a four step hybrid theory of statistical inference (FOSTIS), which is organized hierarchicalry: starting with a planning phase (Neyman-Pearson), going on with a loglikelihood-test (Bayes, Fisher, wald), coming to a maximum likelihood-test (Edwards), and ending with an effect qualification. strengths and weaknesses of this approach are discussed. Generally, there is something to be learned: the more meaningful statistical induction should be the more precise theoretical deduction must be.en
dc.language.isoen
dc.relation.ispartofseriesHamburger Forschungsberichte zur Sozialpsychologie;9
dc.rightspubl-ohne-podde
dc.rights.urihttp://psydok.sulb.uni-saarland.de/doku/lic_ohne_pod.phpde
dc.subject.classificationStatistikde
dc.subject.classificationSignifikanztestde
dc.subject.classificationWahrscheinlichkeitde
ubs.subject.ddc150
dc.subject.otherEffektstärkede
dc.subject.otherfour step hybrid theory of statistical inferenceen
dc.subject.othersignificance testsen
dc.titleA statistical inference strategy (FOSTIS): A non-confounded hybrid theoryen
dc.typeReport (Bericht)
dc.date.updated2014-02-27
ubs.publikation.typreport
ubs.institutUniversität Hamburg: Fachbereich Psychologie
ubs.fakultaetPsychologie: Hochschulen Deutschland
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