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Intelligence Analysis: Behavioral and Social Scientific Foundations (2011)
Board on Behavioral, Cognitive, and Sensory Sciences (BBCSS)

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. "Part II: Analytic Methods." Intelligence Analysis: Behavioral and Social Scientific Foundations. Washington, DC: The National Academies Press, 2011.

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Intelligence Analysis: Behavioral and Social Scientific Foundations

value of game theory reasoning itself, which is enhanced when it can be combined with empirical and quantitative analysis.

In Chapter 4, Gary H. McClelland presents the contributions of signal detection theory to improving the performance and evaluation of analytic judgments and tradecraft. Signal detection theory provides an orderly way of treating how well analysts understand uncertain situations and what decision rules guide their judgments about them. McClelland illustrates the approach with applications to technology, medicine, and science policy, which parallel the challenges faced by intelligence analysts who must understand uncertain situations and convey their conclusions to policy makers. In particular, the paper shows how signal detection theory can be used to clarify the lessons of 9/11 and the “failures” of intelligence about Iraq weapons of mass destruction—distinguishing decision rules (e.g., systematic bias toward false alarms) from failures to understand distortion.

In Chapter 5, Kiron K. Skinner describes the essential roles of formal qualitative analysis in intelligence analysis. She shows how political science provides disciplined methods for increasing the usefulness and accuracy of qualitative analysis. Skinner’s paper illustrates these methods with lessons from two historical intelligence failures, drawing on the “strategic perspective,” a theory of decision making that integrates observations of state behavior, political leadership, and the connections between domestic politics and international relations.

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Front Matter (R1-R14)
Part I: Introduction (1-2)
1 Analysis in the U.S.Intelligence Community: Missions, Masters, and Methods--Thomas Fingar (3-28)
Part II: Analytic Methods (29-30)
2 Operations Research and Intelligence Analysis--Edward H. Kaplan (31-56)
3 Applications of Game Theory in Support of Intelligence Analysis--Bruce Bueno de Mesquita (57-82)
4 Use of Signal Detection Theory as a Tool for Enhancing Performance and Evaluating Tradecraft in Intelligence Analysis--Gary H. McClelland (83-100)
5 Qualitative Analysis for the Intelligence Community--Kiron K. Skinner (101-114)
Part III: Analysts (115-116)
6 Individual Reasoning--Barbara A. Spellman (117-142)
7 Intuitive Theories of Behavior--Hal R. Arkes and James Kajdasz (143-168)
8 Group Processes in Intelligence Analysis--Reid Hastie (169-196)
9 Social Categorization and Intergroup Dynamics--Catherine H. Tinsley (197-224)
Part IV: Organizations (225-226)
10 Communicating About Analysis--Baruch Fischhoff (227-248)
11 Structuring Accountability Systems in Organizations: Key Trade-Offs and Critical Unknowns--Philip E. Tetlock and Barbara A. Mellers (249-270)
12 Workforce Effectiveness: Acquiring Human Resources and Developing Human Capital--Steve W. J. Kozlowski (271-308)
13 Implementing Change: Organizational Challenges--Amy Zegart (309-330)
Appendix A: Contents List for *Intelligence Analysis for Tomorrow: Advances from the Behavioral and Social Sciences* (331-332)
Appendix B: Biographical Sketches of Authors and Staff (333-338)