KEY FEATURES: Wide interdisciplinary applicability with step-by-step examples drawn from a number of sciences and professional fields, including defense, medicine, education, and ecology, demonstrate the powerful application of information metrics to comparative case studies. Presentation of techniques that can be used broadly allows readers to apply what they learn in settings including business, finance, health care, environmental policy, security, and other settings where consequential decisions are made under conditions of uncertainty and complexity. Clear and accessible prose illustrated by concrete and carefully explained examples makes the methods easy to understand and immediately applicable. A concise review of the exciting intellectual foundations of information theory motivates student interest by linking research with critical real-world problems, from World War II cryptography to Cold War nuclear deterrence to solving modern cyber-security and strategic challenges. Appendices available both in the book and online provide a walkthrough of Excel or Google sheets for automating simple calculations, along with sample Excel sheets (Appendix A) and an implementation of the methods in the open source language, R (Appendix B).

Information Metrics at Work—Three Examples

In this chapter, we present three worked-out real-world examples of using information metrics to improve our understanding of case study analysis. The examples are taken from the fields of ecology, education, and medicine. Of course, the fundamental approach of information metrics applies to any field or problem where uncertain outcomes could be illuminated by observing some related factors. Each example here draws on the straightforward and simple techniques set out in Chapter 4 to provide these studies with a more systematic set of findings about the relative impact of each of their respective independent variables on their dependent variable outcomes. In each example, we show that information metrics can help analysts and policy makers move beyond the subjective assessment ...

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