Description

Book Synopsis

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.

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

The Philosophy of Quantitative Methods

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    A Paperback by Brian D. Haig

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      Book details

      Published 15 March 2018
      ISBN-13 9780190222055
      978-0190222055
      ISBN-10 0190222050

      Description

      Book Synopsis

      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.

      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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