LEADER 04335nam 2200661 a 450 001 9910963514803321 005 20200520144314.0 010 $a9781593325497 010 $a1593325495 035 $a(CKB)2550000000035046 035 $a(EBL)837743 035 $a(OCoLC)773565171 035 $a(SSID)ssj0000553386 035 $a(PQKBManifestationID)11343844 035 $a(PQKBTitleCode)TC0000553386 035 $a(PQKBWorkID)10504444 035 $a(PQKB)10740677 035 $a(MiAaPQ)EBC837743 035 $a(Au-PeEL)EBL837743 035 $a(CaPaEBR)ebr10430462 035 $a(Perlego)1974927 035 $a(EXLCZ)992550000000035046 100 $a20090903d2009 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFemale offenders and risk assessment $ehidden in plain sight /$fJanet T. Davidson 205 $a1st ed. 210 $aEl Paso $cLFB Scholarly Pub.$d2009 215 $a1 online resource (212 p.) 225 1 $aCriminal justice: recent scholarship 300 $aDescription based upon print version of record. 311 08$a9781593323776 311 08$a1593323778 320 $aIncludes bibliographical references (p. 179-191) and index. 327 $aTable of Contents; List of Tables; List of Figures; Acknowledgements; Chapter 1: Female Offenders and Management Responses; Hidden in Plain Sight; How Gender Matters; Challenging the Past: Gender Matters & Feminist Epistemology; Misunderstanding to 'Benign Neglect'; Correctional Growth and Risk/Need Assessment Instruments; Conclusion; Chapter 2: A Brief History of Risk Management & Gender; Correctional Growth and the Use of Actuarial Risk/Need Instruments; Calculating Risk - A General Overview; The Evolution of Actuarial Risk/Need Instruments in Criminal Justice 327 $aGender Matters in the Usage of Third Generation Risk/Need Instruments Current Gender-Relevant LSI-R & Risk/Need Instrument Research; Implications of the LSI-R for the Female Offender; Conclusion; Chapter 3: Making Gender Count:Measuring the Impact of Gender in Risk & Need Instruments; Introduction; Counting Within a Feminist Framework; Gendered Risk & Need Research: Gaining Momentum; Framework for the Current Study; Conclusion; Chapter 4: 'Counting' Out of Context; Counting Differences in Risks and Needs; Making it in the Community: Recidivism Rates; LSI-R Domain and Factor Differences 327 $aCorrelation with Outcome Survival Analyses; Kaplan-Meier Analyses of LSI-R Risk Categories and Domains,by Gender; Over- and Under-Classification by Gender; Conclusion; Chapter 5: 'Counting' in Context - Exploring Risk Through a Gendered Lens; Introduction: Risk through a Gendered Lens; Offender Views on Categories Related to LSI-R Domains; What's Left Out of the LSI-R -Histories of Victimization, Health Problems, and Other; Conclusion; Chapter 6: Re-Considering Female Offenders - Context Matters; Introduction: Gender Matters; Cause, Correlation, and Context in Risk/Need Assessments 327 $aMoving Forward with Risk/Need Instruments Future Development and Research; References; Index 330 $aIn the wake of an exploding incarceration rate, correctional facilities have struggled to address issues of "need for treatment." The criminal justice system has begun using self-report-based screening methodologies to collect diagnostic information in place of clinicians. Crawley analyzes data on recently incarcerated prisoners producing significant efficacy findings, indicating strong support for this methodology, and providing insights regarding individual and case-level variables. Thus, advancing policies for triaging "need for treatment" in criminal justice populations by providing practi 410 0$aCriminal justice (LFB Scholarly Publishing LLC) 606 $aFemale offenders$xRehabilitation 606 $aRecidivism 606 $aCorrections$zUnited States 615 0$aFemale offenders$xRehabilitation. 615 0$aRecidivism. 615 0$aCorrections 676 $a364.3 700 $aDavidson$b Janet$g(Janet T.)$01809777 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910963514803321 996 $aFemale offenders and risk assessment$94360731 997 $aUNINA