Philosophical Foundations of Quantitative Research Methodology
by
Chong Ho Yu
Book Details
Format
Paperback / Softback
ISBN-10
076183429X
ISBN-13
9780761834298
Publisher
University Press of America
Imprint
University Press of America
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 26th, 2006
Print length
184 Pages
Weight
277 grams
Dimensions
22.80 x 16.30 x 1.40 cms
Product Classification:
Social research & statistics
Ksh 8,250.00
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This book is a crystallization of author Chong Ho Yu's contemplation on the meaning of quantitative methods from the perspectives of history and the philosophy of science. Emphasizing the importance of a data analyst 'always knowing where the numbers come from,' Yu broadens the search to include a gamut of questions exploring the foundations of quantitative research. These questions include: How did the Fisherian and Pearsonian frameworks originate? Is quantitative methodology based upon logical positivism? How could statisticians synthesize abductive, deductive, and inductive methods while they are substantively different in their logics? How could researchers make a causal inference while a strong correlation does not necessarily entail a causal structure? This informative book is written for readers with an intermediate knowledge of statistics and philosophy.
This book is a crystallization of author Chong Ho Yu''s contemplation on the meaning of quantitative methods from the perspectives of history and the philosophy of science. Emphasizing the importance of a data analyst ''always knowing where the numbers come from,'' Yu broadens the search to include a gamut of questions exploring the foundations of quantitative research. These questions include: How did the Fisherian and Pearsonian frameworks originate? Is quantitative methodology based upon logical positivism? How could statisticians synthesize abductive, deductive, and inductive methods while they are substantively different in their logics? How could researchers make a causal inference while a strong correlation does not necessarily entail a causal structure? This informative book is written for readers with an intermediate knowledge of statistics and philosophy.
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