Title page for ETD etd-07182011-091205


Type of Document Dissertation
Author Miller, Jean Anne
Author's Email Address jemille6@vt.edu
URN etd-07182011-091205
Title Naturalism & Objectivity: Methods and Meta-methods
Degree PhD
Department Science and Technology Studies
Advisory Committee
Advisor Name Title
Mayo, Deborah G. Committee Chair
Burian, Richard M. Committee Member
Fuhrman, Ellsworth R. Committee Member
Spanos, Aris Committee Member
Keywords
  • epistemology
  • error statistics
  • Giere
  • Hurlbert
  • micro-sociology of science
  • minimal a priorism
  • meta-methods
  • methods
  • Mayo
  • Kitcher
  • Latour
  • Longino
  • Collins
  • BACI (Before-After-Control-Intervention) experimen
  • relativism
  • reflexivity
  • replication
  • social epistemologies
  • relativism
  • pseudo-replication
  • philosophy of statistics
  • misspecification testing
  • naturalism
  • new experimentalism
  • normative naturalism
  • objectivity
  • philosophy of experiment
  • philosophy of science
Date of Defense 2008-08-20
Availability unrestricted
Abstract
The 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.
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