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The Philosophy of Quantitative Methods undertakes a philosophical examination of a number of important quantitative research methods within the behavioral sciences in order to overcome the non-critical approaches typically provided by textbooks. These research methods are exploratory data analysis, statistical significance testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. Further readings are provided toextend the reader's overall understanding of these methods.
List 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
About the author
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.
Summary
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.
