04101nam 2200613Ia 450 991099398350332120250414171158.097808330780019780833078032(electronic bk.)0833078038(MiAaPQ)EBC1365207(Au-PeEL)EBL1365207(CaPaEBR)ebr10678771(OCoLC)857365413(CKB)17642205200041(oapen)doab115035(EXLCZ)991764220520004120130305d2013 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPredicting suicide attacks integrating spatial, temporal, and social features of terrorist attack targets /Walter L. Perry ... [et al.]1st ed.Santa Monica, Calif RAND[2013]Santa Monica, CA :RAND Corporation,2013.1 online resource (95 pages)Rand Corporation monograph seriesDescription based upon print version of record.Print version: Perry, Walter L. Predicting Suicide Attacks Santa Monica : RAND Corporation, The,c2013 9780833078001 0833078003 Includes bibliographical references (p. 83-85).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.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.Rand Corporation monograph series.Suicide bombingsIsraelTerrorismIsraelTerroristsSuicidal behaviorIsraelSuicide bombingsTerrorismTerroristsSuicidal behavior363.325/12Perry Walt L904735Perry Walt L.Naval Research Laboratory (U.S.)RAND Homeland Security and Defense Center.MiAaPQMiAaPQMiAaPQBOOK9910993983503321Predicting suicide attacks2023213UNINA