
Integrating Converging Evidence in Behavioral Sciences
How to Incite a Scientific Revolution
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Integrating Converging Evidence in Behavioral Sciences
How to Incite a Scientific Revolution
About this book
Integrating Converging Evidence in Behavioral Sciences presents a fresh approach to understanding the landscape of scientific research, particularly within the behavioral sciences.
By examining the needs for consistency and coherence across different scientific disciplines, this book offers readers a practical framework for evaluating and advancing their research topics. Through a comprehensive overview of established frameworks such as Marr's computational framework and Tinbergen's four questions, the book introduces a novel convergence framework specifically tailored to the behavioral sciences. This approach enables a more integrated view of scientific theories and knowledge, empowers researchers to pinpoint areas of high impact, and helps them to recognize potential revolutions in the field. The book serves a dual purpose: As a rubric for students and early-career researchers to grasp and navigate their research topics, and also as a resource for more advanced researchers seeking to delve into deeper issues and apply the framework across different contexts.
This book is an essential guide for anyone interested in harmonizing scientific perspectives, developing more robust and interconnected fields of research, and potentially paving the way for groundbreaking discoveries.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Dedication
- Contents
- Preface
- Acknowledgments
- 1 A Quick Guide to Multi-Level Converging Lines of Evidence
- 2 Historical and Philosophical Background of the MCL Framework
- 3 Concerns, Digressions, and Extensions of the MCL Framework
- 4 Quick Illustrative Examples of the MCL Framework
- 5 Rationality and Quantitative Reasoning Using the MCL Framework
- Index