| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910220101303321 |
|
|
Autore |
Perry Walt L |
|
|
Titolo |
Predicting suicide attacks : integrating spatial, temporal, and social features of terrorist attack targets / / Walter L. Perry [and seven others] |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Santa Monica, Calif, : RAND, [2013] |
|
Santa Monica, CA : , : RAND Corporation, , 2013 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (xxv, 85 pages) : illustrations (some color) |
|
|
|
|
|
|
Collana |
|
Rand Corporation monograph series |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Suicide bombings - Israel |
Terrorism - Israel |
Terrorists - Suicidal behavior - Israel |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (p. 83-85). |
|
|
|
|
|
|
Nota di contenuto |
|
Cover; Title Page; Copyright; Preface; Contents; Figures; Tables; Summary; Acknowledgments; Abbreviations; CHAPTER ONE: Introduction and Overview; Background; About This Report; CHAPTER TWO: Quantitative Data and Methods; Quantitative Data; Socioeconomic Characteristics; Demographic Characteristics; Electoral Data; Proximity to Terrorist Safe Houses; Sociocultural Precipitants; Principal Component Analysis and Logistic Regression; Logistic Regression; Dimension Reduction; Classification and Regression Trees; Sociocultural Precipitants Analysis; Results of Quantitative Data Analysis |
Principal Components Analysis Logistic Regression Models; Classification and Regression Trees; Sociocultural Precipitants; Summing Up; CHAPTER THREE: Qualitative Analysis; Methodology; Hypotheses Driving the Use of the Methodology; Assumptions in Using the Methodology; Restrictions; Timing; Results of Qualitative Data Analysis; Identification of Codes; Distribution of Codes; Retargeting of Previously Attacked Locations; Dispersion of Attacks over Time; Assessment of Transportation Targets; Comparison of Codes to a Subject-Matter Expert Hypothesis; CHAPTER FOUR: Conclusions and Recommendations |
Conclusions from Quantitative Data Analysis Conclusions from |
|
|
|
|
|
|
|
|
|
|
|
Qualitative Data Analysis; Recommendations for Further Research; Regression Analyses and Classification; Sociocultural Precipitants; Transferability; Appendixes; A. Sociocultural Precipitant Database; B. Logistic Regression Output; About the Authors; Bibliography |
|
|
|
|
|
|
Sommario/riassunto |
|
As part of an exploration of ways to predict what determines the targets of suicide attacks, RAND conducted a proof-of-principle analysis of whether adding sociocultural, political, economic, and demographic factors would enhance the predictive ability of a methodology that focused on geospatial features. This test case focused on terrorist bombing incidents in Israel, but the findings indicate that the methodology merits further exploration. |
|
|
|
|
|
|
|
| |