Method of Multiple Hypotheses

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A01=Charles S. Reichardt
Alternate Interior Angles
Alternative Hypotheses
Author_Charles S. Reichardt
Auxiliary Assumptions
Belief Justification
Category=JMBT
Category=QDTM
causal inference
Correct Hypothesis
Crack Cocaine
Duhem-Quine thesis
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eq_isMigrated=2
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evaluating competing scientific explanations
Explicit Competition
falsification in science
Follow
Hold
Home Team
Hypothetico Deductive Method
Id Proponent
Id Theory
Internal Validity
Kinetic Theory Of Heat
Multiple Hypotheses
plausibility reasoning
Plausible Alternative Hypotheses
Refined Common Sense
Risky Predictions
scientific uncertainty
Single Hypothesis
Step Ii
theory-ladenness
Tooth Fairies
Traffic Fatalities
Violate

Product details

  • ISBN 9781032056234
  • Weight: 294g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Oct 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book illustrates the method of multiple hypotheses with detailed examples and describes the limitations facing all methods (including the method of multiple hypotheses) as the means for constructing knowledge about nature.

Author Charles Reichardt explains the method of multiple hypotheses using a range of real-world applications involving the causes of crime, traffic fatalities, and home field advantage in sports. The book describes the benefits of utilizing multiple hypotheses and the inherent limitations within which all methods must operate because all conclusions about nature must remain tentative and forever subject to revision. Nonetheless, the book reveals how the method of multiple hypotheses can produce strong inferences even in the face of the inevitable uncertainties of knowledge. The author also explicates some of the most foundational ideas in philosophy of science including the notions of the underdetermination of theory by data, the Duhem-Quine thesis, and the theory-ladenness of observation.

This book will be important reading for advanced undergraduates, graduates, and professional researchers across the social, behavioral, and natural sciences wanting to understand this method and how to apply it to their field of interest.

Charles S. Reichardt is Professor of Psychology at the University of Denver and a fellow of the Association for Psychological Science. He is a recipient of the President’s Prize from the Evaluation Research Society and the Tanaka Award from the Society of Multivariate Experimental Psychology. He is the author of Quasi-Experimentation: A Guide to Design and Analysis.

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