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Books > Social sciences > Psychology > Psychological methodology > Psychological testing & measurement
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The Myth of Statistical Inference (Hardcover, 1st ed. 2021)
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The Myth of Statistical Inference (Hardcover, 1st ed. 2021)
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This book proposes and explores the idea that the forced union of
the aleatory and epistemic aspects of probability is a sterile
hybrid, inspired and nourished for 300 years by a false hope of
formalizing inductive reasoning, making uncertainty the object of
precise calculation. Because this is not really a possible goal,
statistical inference is not, cannot be, doing for us today what we
imagine it is doing for us. It is for these reasons that
statistical inference can be characterized as a myth. The book is
aimed primarily at social scientists, for whom statistics and
statistical inference are a common concern and frustration. Because
the historical development given here is not merely anecdotal, but
makes clear the guiding ideas and ambitions that motivated the
formulation of particular methods, this book offers an
understanding of statistical inference which has not hitherto been
available. It will also serve as a supplement to the standard
statistics texts. Finally, general readers will find here an
interesting study with implications far beyond statistics. The
development of statistical inference, to its present position of
prominence in the social sciences, epitomizes a number of trends in
Western intellectual history of the last three centuries, and the
11th chapter, considering the function of statistical inference in
light of our needs for structure, rules, authority, and consensus
in general, develops some provocative parallels, especially between
epistemology and politics.
General
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