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Philosophical Foundations of Quantitative Research Methodology by Chong Ho Yu (2006, Trade Paperback)
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About this product
Product Identifiers
PublisherUniversity Press of America, Incorporated
ISBN-10076183429X
ISBN-139780761834298
eBay Product ID (ePID)18038742568
Product Key Features
Number of Pages184 Pages
Publication NamePhilosophical Foundations of Quantitative Research Methodology
LanguageEnglish
SubjectMethodology, Reference, Probability & Statistics / General, Research, Statistics
Publication Year2006
TypeTextbook
AuthorChong Ho Yu
Subject AreaMathematics, Philosophy, Education
FormatTrade Paperback
Dimensions
Item Height0.6 in
Item Weight9.8 Oz
Item Length9 in
Item Width6.4 in
Additional Product Features
Intended AudienceTrade
LCCN2006-921671
Dewey Edition22
IllustratedYes
Dewey Decimal519.5
Table Of ContentChapter 1 Preface Chapter 2 1. Philosophy of the Fisherian and Pearsonian Schools Chapter 3 2. Misconceived Links Between Positivism and Quantitative Research Chapter 4 3. Logics of Abduction, Deduction, and Induction Chapter 5 4. Philosophy of Mathematics and Quantitative Research Chapter 6 5. Philosophical Issues of Factor Analysis Chapter 7 6. Causal Inferences and Duhem-Quine Thesis Chapter 8 7. Causal Markov Condition, Faithfulness Assumption, and Virtual Intervention Chapter 9 8. Statistical God of the Gaps? Chapter 10 References Chapter 11 Index
SynopsisThis 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. 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, 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. This informative book is written for readers with an intermediate knowledge of statistics and philosophy.
LC Classification NumberHA
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