Readings Newsletter
Become a Readings Member to make your shopping experience even easier.
Sign in or sign up for free!
You’re not far away from qualifying for FREE standard shipping within Australia
You’ve qualified for FREE standard shipping within Australia
The cart is loading…

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.
$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout
Stock availability can be subject to change without notice. We recommend calling the shop or contacting our online team to check availability of low stock items. Please see our Shopping Online page for more details.
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.