logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

The Philosophy Of Quantitative Methods Understanding Statistics Brian D Haig

  • SKU: BELL-6986976
The Philosophy Of Quantitative Methods Understanding Statistics Brian D Haig
$ 31.00 $ 45.00 (-31%)

5.0

98 reviews

The Philosophy Of Quantitative Methods Understanding Statistics Brian D Haig instant download after payment.

Publisher: Oxford University Press
File Extension: PDF
File size: 6.05 MB
Pages: 168
Author: Brian D. Haig
ISBN: 9780190222055, 0190222050
Language: English
Year: 2018

Product desciption

The Philosophy Of Quantitative Methods Understanding Statistics Brian D Haig by Brian D. Haig 9780190222055, 0190222050 instant download after payment.

The Philosophy of Quantitative Methods focuses on the conceptual foundations of research methods within the behavioral sciences. In particular, it undertakes a close philosophical examination of a variety of quantitative research methods that are prominent in (or relevant for) the conduct of research in these fields. By doing so, the deep structure of these methods is examined in order to overcome the non-critical approaches typically found in the existing literature today.
In this book, Brian D. Haig focuses on the more well-known research methods such as exploratory data analysis, statistical significant testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. These methods are then examined with a philosophy consistent of scientific realism. In addition, each chapter provides a helpful Further Reading section in order to better assist the reader in extending their own thinking and research methods specific to their needs.

Related Products