000			03568nam a2200253 4500
001			395495
010			_a9781452241517
090			_a395495
100			_a20190530d2014 y0pory50 ba
101			_aeng
200			_aStructured analytic techniques for intelligence analysis _fRichards J. Heuer Jr., Randolph H. Pherson
205			_a2nd ed.
210			_aWashington, D.C. _cSage _d2014
215			_a361 p. _d21 cm
330			_aForeword. Preface.Chapter 1: Introduction and overview. 1.1 Our vision. 1.2 Two types of thinking. 1.3 Dealing with bias. 1.4 The role of structured analytic techniques. 1.5 the value of team analysis. 1.6 The history of structured analytic techniques. 1.7 Selection of techniques for this book. 1.8 Quick summary of chapters. Chapter 2: Building a system 2 taxonomy. 2.1 Taxonomy of system 2 methods. 2.2 Taxonomy of structured analytic techniques. Chapter 3: Choosing the right technique. 3.1 Core techniques. 3.2 Five habits every analyst should master. 3.3 One project, multiple techniques. 3.4 Common errors in selecting techniques. 3.5 Structured technique selection guide. Chapter 4: decomposition and visualization. 4.1 Getting started checklist. 4.2 AIMS (audience, issue, message, storyline). 4.3 Customer checklist. 4.4 Issue redefinition. 4.5 Chronologies and timelines. 4.6 Sorting. 4.7 Ranking, scoring, prioritizing. 4.8 Matrices. 4.9 Venn analysis. 4.10 Network analysis. 4.11 Mind maps and concept maps. 4.12 Process maps and Gantt charts. Chapter 5: Idea generation. 5.1 Structured brainstorming. 5.2 Virtual brainstorming. 5.3 Nominal group technique. 5.4 Starbursting. 5.5 Cross-impact matrix. 5.6 Morphological analysis. 5.7 Quadrant crunching (TM). Chapter 6: Scenarios and indicators. 6.1 Scenarios analysis. 6.2 Indicators. 6.3 Indicators validation. Chapter 7: hypothesis generation and testing. 7.1 Hypothesis generation. 7.2 Diagnostic reasoning. 7.3 Analysis of competing hypotheses. 7.4 Argument mapping. 7.5 Deception detection. Chapter 8: Assessment of cause and effect. 8.1 Key assumptions check. 8.2 Structured analogies. 8.3 Role playing. 8.4 Red hat analysis. 8.5 Outside-in thinking. Chapter 9: Challenge analysis. 9.1 Premortem analysis. 9.2 Structured self-critique. 9.3 What if? Analysis. 9.4 High impact/low probability analysis. 9.5 Devil's advocacy. 9.6 Red team analysis. 9.7 Delphi method. Chapter 10: Conflict management. 10.1 Adversarial collaboration. 10.2 Structured debate. Chapter 11: Decision support. 11.1 Decision trees. 11.2 Decision matrix. 11.3 Pros-cons-faults-and-fixes. 11.4 Force field analysis. 11.5 SWOT analysis. 11.6 Impact matrix. 11.7 Complexity manager. Chapter 12: Practitioner's guide to collaboration. 12.1 social networks and analytic teams. 12.2 Dividing the work. 12.3 Common pitfalls with small groups. 12.4 Benefiting from diversity. 12.5 Advocacy vs. Objective inquiry. 12.6 Leadership and training. Chapter 13: Validation of structured analytic techniques. 13.1 Limits of empirical analysis. 13.2 Establishing face validity. 13.3 A program for empirical validation. 13.4 Recommended research program. Chapter 14: The future of structured analytic techniques. 14.1 Structuring the data. 14.2 Key drivers. 14.3 Imagining the future: 2020.
606			_aANÁLISE DA INFORMAÇÃO _9343238
606			_aMETODOLOGIAS _9341295
700			_aHEUER JR. _bRichards J. _9358955
701			_aPHERSON _bRandolph H. _9358956
955			_xCompra