The Philosophy of Quantitative Methods: Understanding Statistics

Author:   Brian D. Haig (Professor of Psychology, Professor of Psychology, University of Canterbury)
Publisher:   Oxford University Press Inc
ISBN:  

9780190222055


Pages:   168
Publication Date:   15 March 2018
Format:   Paperback
Availability:   To order   Availability explained
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The Philosophy of Quantitative Methods: Understanding Statistics


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Overview

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.

Full Product Details

Author:   Brian D. Haig (Professor of Psychology, Professor of Psychology, University of Canterbury)
Publisher:   Oxford University Press Inc
Imprint:   Oxford University Press Inc
Dimensions:   Width: 21.10cm , Height: 1.30cm , Length: 13.70cm
Weight:   0.277kg
ISBN:  

9780190222055


ISBN 10:   0190222050
Pages:   168
Publication Date:   15 March 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Chapter 1: Introduction Chapter 2: Exploratory Data Analysis Chapter 3: Tests of Statistical Significance Chapter 4: Bayesianism Chapter 5: Meta-Analysis Chapter 6: Exploratory Factor Analysis Chapter 7: Conclusions

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Author Information

Brian D. Haig is a Professor in the Department of Psychology at the University of Canterbury. He has published extensively on the conceptual foundations of behavioral research methods. He is the author of Investigating the Psychological World (MIT Press, 2014) and, with Colin W. Evers, Realist Inquiry in Social Science (Sage, 2016). He is a Fellow of the Association for Psychological Science and the New Zealand Psychological Society.

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