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dc.contributor.authorMiller, Jean Anneen_US
dc.date.accessioned2014-03-14T20:14:07Z
dc.date.available2014-03-14T20:14:07Z
dc.date.issued2008-08-20en_US
dc.identifier.otheretd-07182011-091205en_US
dc.identifier.urihttp://hdl.handle.net/10919/28329
dc.description.abstractThe error statistical account provides a basic account of evidence and inference. Formally, the approach is a re-interpretation of standard frequentist (Fisherian, Neyman-Pearson) statistics. Informally, it gives an account of inductive inference based on arguing from error, an analog of frequentist statistics, which keeps the concept of error probabilities central to the evaluation of inferences and evidence. Error statistical work at present tends to remain distinct from other approaches of naturalism and social epistemology in philosophy of science and, more generally, Science and Technology Studies (STS). My goal is to employ the error statistical program in order to address a number of problems to approaches in philosophy of science, which fall under two broad headings: (1) naturalistic philosophy of science and (2) social epistemology. The naturalistic approaches that I am interested in looking at seek to provide us with an account of scientific and meta-scientific methodologies that will avoid extreme skepticism, relativism and subjectivity and claim to teach us something about scientific inferences and evidence produced by experiments (broadly construed). I argue that these accounts fail to identify a satisfactory program for achieving those goals and; moreover, to the extent that they succeed it is by latching on to the more general principles and arguments from error statistics. In sum, I will apply the basic ideas from error statistics and use them to examine (and improve upon) an area to which they have not yet been applied, namely in assessing and pushing forward these interdisciplinary pursuits involving naturalistic philosophies of science that appeal to cognitive science, psychology, the scientific record and a variety of social epistemologies.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartMiller_JA_D_2008.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectepistemologyen_US
dc.subjecterror statisticsen_US
dc.subjectGiereen_US
dc.subjectHurlberten_US
dc.subjectmicro-sociology of scienceen_US
dc.subjectminimal a priorismen_US
dc.subjectmeta-methodsen_US
dc.subjectmethodsen_US
dc.subjectMayoen_US
dc.subjectKitcheren_US
dc.subjectLatouren_US
dc.subjectLonginoen_US
dc.subjectCollinsen_US
dc.subjectBACI (Before-After-Control-Intervention) experimenen_US
dc.subjectrelativismen_US
dc.subjectreflexivityen_US
dc.subjectreplicationen_US
dc.subjectsocial epistemologiesen_US
dc.subjectrelativismen_US
dc.subjectpseudo-replicationen_US
dc.subjectphilosophy of statisticsen_US
dc.subjectmisspecification testingen_US
dc.subjectnaturalismen_US
dc.subjectnew experimentalismen_US
dc.subjectnormative naturalismen_US
dc.subjectobjectivityen_US
dc.subjectphilosophy of experimenten_US
dc.subjectphilosophy of scienceen_US
dc.titleNaturalism & Objectivity: Methods and Meta-methodsen_US
dc.typeDissertationen_US
dc.contributor.departmentScience and Technology Studiesen_US
dc.description.degreePh. D.en_US
thesis.degree.namePh. D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineScience and Technology Studiesen_US
dc.contributor.committeechairMayo, Deborah G.en_US
dc.contributor.committeememberBurian, Richard M.en_US
dc.contributor.committeememberFuhrman, Ellsworth R.en_US
dc.contributor.committeememberSpanos, Arisen_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07182011-091205/en_US
dc.date.sdate2011-07-18en_US
dc.date.rdate2011-08-19
dc.date.adate2011-08-19en_US


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