LEADER 03667oam 2200529 450 001 9910220101303321 005 20190911100038.0 010 $a0-8330-7803-8 035 $a(OCoLC)858983014 035 $a(MiFhGG)GVRL6SHI 035 $a(EXLCZ)992550000001039456 100 $a20130305d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPredicting suicide attacks $eintegrating spatial, temporal, and social features of terrorist attack targets /$fWalter L. Perry [and seven others] 210 $aSanta Monica, Calif $cRAND$d[2013] 210 1$aSanta Monica, CA :$cRAND Corporation,$d2013. 215 $a1 online resource (xxv, 85 pages) $cillustrations (some color) 225 1 $aRand Corporation monograph series 300 $aDescription based upon print version of record. 311 $a0-8330-7800-3 320 $aIncludes bibliographical references (p. 83-85). 327 $aCover; 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 327 $aPrincipal 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 327 $aConclusions 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 330 $aAs part of an exploration of ways to predict what determines the targets of suicide attacks, RAND conducted a proof-of-principle analysis of whether adding sociocultural, political, economic, and demographic factors would enhance the predictive ability of a methodology that focused on geospatial features. This test case focused on terrorist bombing incidents in Israel, but the findings indicate that the methodology merits further exploration. 410 0$aRand Corporation monograph series. 606 $aSuicide bombings$zIsrael 606 $aTerrorism$zIsrael 606 $aTerrorists$xSuicidal behavior$zIsrael 615 0$aSuicide bombings 615 0$aTerrorism 615 0$aTerrorists$xSuicidal behavior 676 $a363.325/12 700 $aPerry$b Walt L$0904735 702 $aPerry$b Walt L. 712 02$aNaval Research Laboratory (U.S.) 712 02$aRAND Homeland Security and Defense Center. 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910220101303321 996 $aPredicting suicide attacks$92023213 997 $aUNINA