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   The Future of Post-Human Data Analysis
 

The Future Of Post-Human Data Analysis

by Peter Baofu

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Description: Is data analysis (based on modern scientific methodology) really so promising in helping us understand reality better that, as Auguste Comte (1853) once famously wrote, "[t]he law is this: that each of our leading conceptions, each branch of our knowledge, passes successively through three different theoretical conditions: the Theological, or fictitious; the Metaphysical, or abstract; and the Scientific, or positive"?

However, this blank check of data analysis (based on modern scientific methodology) can be contrasted with an opposing view in our time, as Thomas Kuhn equally made a name of himself in arguing that the progress of scientific methodology over time does not lead to a truer understanding of reality but only reflects "paradigm shifts" for different worldviews. (WK 2011)

Contrary to these conflicting views (and other ones as will be discussed in the book), data analysis (in relation to both quantitative and qualitative research) is neither possible nor desirable to the extent that the respective ideologues (on different sides) would like us to believe.

This challenge to these diverse views about data analysis does not mean, however, that data analysis is useless, or that those fields of study (related to data analysis) like methodology, epistemology, philosophy of science, psychology, linguistics, mathematics, logic, sociology, anthropology, and so on should be ignored too. Of course, neither of these extreme views is reasonable.

Instead, this book provides an alternative (better) way to understand the future of data analysis, especially in the dialectic context of quantitative and qualitative research—while learning from different approaches in the literature but without favoring any one of them (nor integrating them, since they are not necessarily compatible). In other words, this book offers a new theory (that is, the complex theory of data analysis).

If successful, this seminal project is to fundamentally change the way that we think about data analysis, from the combined perspectives of the mind, nature, society, and culture, with enormous implications for the human future and what the author originally called its "post-human" fate.

In this book:

• Introduction — The Significance of Data Analysis
• Quantitative Research
• Quantitative Research and its Inadequacy
• Qualitative Research
• Qualitative Research and its Limitation
• Conclusion
• Conclusion — The Future of Data Analysis

Contents:

List of Tables • Foreword • Acknowledgments • List of Abbreviations

Part One: Introduction • Chapter One: Introduction—The Significance of Data Analysis • The Blank Check of Data Analysis • Quantitative and Qualitative Research in Data Analysis • The Varieties of Data Analysis • The Theoretical Debate • The Complex Theory of Data Analysis • Theory and Meta-Theory • The Logic of Existential Dialectics • Sophisticated Methodological Holism • Chapter Outline • Some Clarifications

Part Two: Quantitative Research • Chapter Two: Quantitative Research and its Inadequacy • The Preciseness of Quantitative Research • Quantitative Research and the Mind •Quantitative Research and Nature • Quantitative Research and Society • Quantitative Research and Culture • The Narrowness of Quantitative Research • The Future of Post-Human Data Analysis

Part Three: Qualitative Research • Chapter Three: Qualitative Research and its Limitation • The Broadness of Qualitative Research • Qualitative Research and the Mind • Qualitative Research and Nature • Qualitative Research and Society • Qualitative Research and Culture • The Subjectivity of Qualitative Research

Part Four: Conclusion • Chapter Four: Conclusion—The Future of Data Analysis • Beyond Quantitative and Qualitative Research • 1st Thesis: The Formalness-Informalness Principle •2nd Thesis: The Absoluteness-Relativeness Principle •3 rd Thesis: The Partiality-Totality Principle • 4th Thesis: The Predictability-Unpredictability Principle • 5th Thesis: The Explicability-Inexplicability Principle • 6th Thesis: The Fiction-Reality Principle • 7th Thesis: The Finiteness-Transfiniteness Principle • 8th Thesis: The Preciseness-Vagueness Principle• 9th Thesis: The Simpleness-Complicatedness Principle • 10th Thesis: The Openness-Hiddenness Principle • 11th Thesis: The Denseness-Emptiness Principle • 12th Thesis: The Change-Constancy Principle • 13th Thesis: The Order-Chaos Principle • 14th Thesis: The Slowness-Quickness Principle • 15th Thesis: The Expansion-Contraction Principle • 16th Thesis: The Theory-Praxis Principle • 17th Thesis: The Convention-Novelty Principle • 18th Thesis: The Evolution-Transformation Principle • 19th Thesis: The Symmetry-Asymmetry Principle • 20th Thesis: The Sofness-Hardness Principle • 21st Thesis: The Seriousness-Playfulness Principle • 22nd Thesis: The Regression-Progression Principle • 23rd Thesis: The Sameness-Difference Principle • 24th Thesis: The Stability-Reaction Principle 25th Thesis: The Post-Human Complexity • Towards the Post-Human Complexity ISBN - 9788130919942
 


Pages : 562
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