1 / 54

Working With Female Offenders

Working With Female Offenders. What Does Science Tell Us? Kimberly Gentry Sperber, Ph.D. Setting the Stage. Growing number of women under correctional supervision Increases in correctional supervision greater for women than for men

dyan
Télécharger la présentation

Working With Female Offenders

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Working With Female Offenders What Does Science Tell Us? Kimberly Gentry Sperber, Ph.D.

  2. Setting the Stage • Growing number of women under correctional supervision • Increases in correctional supervision greater for women than for men • Number of women under correctional supervision increased 81% from 1990-2000; number of men increased 45%. • 85% of women under correctional supervision are in the community.

  3. Setting the Stage • Major factor in prison growth for women = drug offenses • Major factor in prison growth for men = violent offenses

  4. What Does This Mean for Practitioners? • More women entering into the system. • Women entering into the system faster than men. • More research being done on women. • Push to implement evidence-based approaches for all offenders • More pressure to implement gender-responsive approaches with females.

  5. So Where Do We Start? Getting to Know the Women

  6. Characteristics of Female Offenders • More likely to have experienced physical and sexual abuse • Estimates range from less than 40% to over 80% depending on the study and the setting. • Depression, anxiety, self-harm more prevalent in women • Dual diagnoses more prevalent • More likely to be primary caregiver of a minor child

  7. Characteristics of Female Offenders • Less likely to have been convicted of a violent offense • When they do commit violent offenses, more likely to involve an intimate or family member (true of girls as well) • More likely to have been convicted of property or drug offense. • Girls more likely to be charged with status offenses. • Women more likely to abuse drugs; men more likely to abuse alcohol (BJS data). • Women’s substance abuse has been shown to be correlated to trauma and mental health issues. • Often more likely to be unemployed. • If they are employed, low-skill, low-pay jobs.

  8. Characteristics of Female Offenders • Women often have different physical health issues • For example, female inmates more likely to be HIV positive. • Women more likely to have certain types of cancer (implications for residential settings) • Women have higher rates of STD’s

  9. Characteristics of Female Offenders • Setting Matters • Women on probation more likely to have committed a property offense. • Women in prison more likely to have committed a drug or violent offense. • Incarcerated women more likely than men to have had a family member incarcerated. • Incarcerated women typically have shorter criminal histories than incarcerated men.

  10. Pathways Into Crime • Runaways • Substance Abuse • Poverty • Relationships

  11. Applying the Traditional Model to Females Risk, Need, Responsivity, Treatment

  12. Risk Principle • Predicting future criminal behavior • Matching levels of treatment/services to the risk level of the offender • Tells us who to target

  13. Factors Correlated to Risk

  14. Factors Correlated to Risk

  15. The LSI-R and Women • Does it work? • At least 6 studies demonstrating that the LSI/LSI-R predicts re-offending in women: • Coulson et al. (1996) found the tool predicted recidivism for women with sentences of less than 2 years. • McConnell (1996) found the tool predicted recidivism for women with sentences of more than 2 years. • Retrospective study

  16. The LSI-R and Women • Lowenkamp et al. (2001) found that the tool predicted reincarceration for both males and females. • Palmer and Hollin (2007) found that the tool predicted reconviction for a sample of English prisoners. • Women scored higher on 5 subscales – accommodations, companions, family/marital, substance abuse, and emotional/personal.

  17. The LSI-R and Women • Folsom and Atkinson (2007) found that the tool predicted recidivism for women with sentences of more than 2 years. • Age at 1st arrest and # prior convictions were strongest predictors. • Hubbard (2007) found that the LSI-R predicted recidivism for both men and women (arrest and incarceration).

  18. The LSI-R and Women At Talbert House: • One study demonstrating that LSI-R scores positively correlated with recidivism. • Sample comprised of adult women from 3 treatment settings: • Residential drug court program • Halfway house • Jail-based treatment program • Second study demonstrating that higher LSI-R scores predict AWOL’s in halfway house sample.

  19. LSI-R and Women • One study that found the LSI-R did not perform well for women (Reisig et al., 2006): • LSI-R misclassified a significant number of women who were economically marginalized • Misclassified a significant number of drug-connected women • More likely to correctly classify women who looked “male” in terms of offending (behaviors and context)

  20. Comparing the LSI-R to Gender-Responsive Tools • Study comparing traditional risk tools to gender-responsive risk tools (Van Voorhis et al., 2008). • Most of the traditional risk variables were predictive across most of the samples • Criminal attitudes was the least consistent predictor across the samples • Many of the gender-responsive risk variables were also predictive, although there was some variation depending on setting (e.g., community versus institution). • Adding the gender-responsive items to the traditional tools increased predictive power.

  21. Conclusions About the Risk Principle With Women • Women differ in terms of risk to reoffend (as do men) • Service delivery is aided when we can classify women into smaller more homogeneous groups based on shared characteristics (as with men) • The LSI-R does appear to predict re-offending in women (as it does for men) • The LSI-R (and tools like it) are likely NOT capturing all of the variables predictive of reoffending for women; • Therefore, supplemental assessments are likely warranted.

  22. Need Principle • Distinguishes between criminogenic needs and non-criminogenic needs • Dynamic risk factors become the criminogenic needs • By definition, these are factors that can change • Since they are criminogenic, changing them changes the probability of re-offending • Criminogenic needs become the treatment targets • Tells us what to target

  23. Criminogenic Antisocial Attitudes Antisocial Peers Substance Abuse Employment Non-Criminogenic Anxiety Low Self-esteem Medical Needs Creative Abilities Physical Conditioning Traditional Criminogenic Needs

  24. Traditional Criminogenic Needs • Antisocial Attitudes • Sperber and Smith (forthcoming) – 9 of the 11 subscales of the How I Think Questionnaire positively correlated with the LSI-R score in a sample of halfway house women. • Current clinical norms for the tool not relevant for women, however. • Van Voorhis et al. (2008) – antisocial attitudes not consistently correlated with recidivism (varied by sample). • Antisocial Peers • For men, peers often provide a learning opportunity. For women, antisocial peers are often intimate partners, or a reflection of unhealthy relationships (Van Voorhis). • Regardless of the manifestation, relationships with antisocial others puts both men and women at risk.

  25. Traditional Criminogenic Needs • Substance Abuse • Research tends to demonstrate that this is a strong correlate of offending for women. • Often commit crimes to support habit. • Employment • Focus is on ability to secure jobs that pay a decent wage and allow the woman to support herself, and often her minor children. • Housing • Additional consideration of housing safety

  26. Criminogenic Need or Responsivity? • Depression • Hubbard (2007) – depression was not correlated with recidivism for both males and females. • Van Voorhis et al. (2008) – depression correlated to recidivism in both community and institutional settings for females. • Benda (2005) – depression correlated to recidivism for women but not for men.

  27. Criminogenic Need or Responsivity? • Self-Esteem • Lariviere (1999) found relationship between low self-esteem and antisocial behavior in women. • Hubbard (2007) – low self-esteem was not correlated to recidivism for both males and females. • Sperber and Carter (forthcoming) – self-esteem was not correlated to recidivism in a sample of adult women. • Self-esteem was correlated to LSI-R score, however (lower self-esteem, higher LSI-R score). • Self-efficacy was correlated to recidivism (higher self-efficacy, lower recidivism)

  28. Self-Esteem vs. Self-Efficacy • GRT contains scales for both self-esteem and self-efficacy • Research question was about the relative importance of self-esteem versus self-efficacy as a predictor of recidivism for women.

  29. Defining Self-Esteem • An individual's sense of his or her value or worth. • The most broad and frequently cited definition of self-esteem within psychology is Rosenberg's (1965), who described it as a favorable or unfavorable attitude toward the self.

  30. Defining Self-Efficacy • The concept of self-efficacy lies at the center of Bandura’s social cognitive theory. • Self-efficacy is a person’s belief in his or her ability to succeed in a particular situation.

  31. GRT at Talbert House • Participated in validation study • Sample comprised of 147 women residing in 4 community-based correctional programs • Halfway House • Residential Drug Court Program • Jail-Based Assessment Program • Jail-Based Treatment Program

  32. Measures • LSI-R • Demographics/Clinical Attributes • GRT • Self-Esteem • Self-Efficacy • Relationships • Abuse • Parenting • Recidivism • New charge • New conviction

  33. Bivariate Results • Significant positive correlation between self-esteem and self-efficacy. • Both self-esteem and self-efficacy positively significantly correlated with relationships. • Both self-esteem and self-efficacy negatively correlated with abuse.

  34. Bivariate Results • Both self-esteem and self-efficacy were significantly negatively correlated with a number of LSI domains: • Education/Employment • Leisure/Recreation • Alcohol/Drugs • Emotional/Personal • Both also negatively correlated with overall LSI composite risk score.

  35. Bivariate Results • Self-Efficacy also significantly negatively correlated with 2 additional LSI domains: • Companions • Accommodations

  36. Bivariate Correlations With Outcomes • Self-esteem was not significantly correlated to new charge or new conviction post-discharge. • Self-efficacy was significantly correlated with both new charge and new conviction post-discharge. • Women with higher self-efficacy were less likely to recidivate.

  37. Conclusions • Self-esteem was significantly correlated with a number of criminogenic risk domains but not with actual offending. • Appears that self-esteem may impact recidivism indirectly through its impact on these domains. • Self-efficacy was significantly correlated with a larger number of criminogenic risk domains and actual offending. • Appears that there is a direct relationship between self-efficacy and offending in women.

  38. Implications for Practitioners • Study offers some support for idea that self-esteem operates as a responsivity factor, while self-efficacy may be a criminogenic need. • Self-esteem versus self-efficacy: • Self-efficacy is easier to target for change through traditional CBT programs which focus on increasing skills (i.e., increased skills likely lead to improved confidence in one’s ability). • Improvements in self-efficacy are likely to net gains in self-esteem as well given they are positively correlated.

  39. Criminogenic Need or Responsivity? • Lowenkamp et al. (2001) – abuse not related to recidivism for males or females. • UC study examining relationship between child abuse and recidivism for adolescent sample also found no relationship. • Other studies have found a correlation between prior abuse and recidivism for women, however.

  40. Talbert House Abuse Data • GRT validation sample • Abuse correlated with: • New Charge • New Conviction • Days to Re-Conviction

  41. Conclusions About Criminogenic Needs • Focusing on traditional criminogenic needs is still warranted. • Need to understand that they may manifest or originate differently in women than in men. • Need to widen pool of treatment targets to include items that have traditionally been characterized as responsivity issues.

  42. Approaches to Working With Females • CBT • Promoted as most effective method for reducing recidivism. • Teaches people to change antisocial attitudes, to make more responsible choices, how to problem-solve, etc. • Uses skill-based exercises • Some have questioned utility for women

  43. Approaches to Working With Females • Meta-Analysis by Andrews and Dowden (1999) on the principles of effective interventions and females. • Found that programs that followed these principles had greater recidivism reductions. • Targeted higher risk offenders for services • Focused on traditional criminogenic needs • Utilized approaches based on CBT and structured social learning

  44. Approaches to Working With Females • Study of 4 residential programs using CBT by Hubbard (2007) • 2 male, 2 female (Talbert House programs) • After controlling for risk, women performed better than men in terms of recidivism • Possible conclusion is that women responded more favorably to CBT than men • Other variables were not predictive of recidivism: • Depression • Self-Esteem • IQ

  45. Approaches to Working With Females • Relational Approaches • Premise that women’s maturity is built on motivation to build a sense of connection with others. • Self-worth is based on connections to others. • Growth occurs when these relationships are mutual, empathetic, and empowering • Growth is stunted when relationships are abusive or nonmutual.

  46. Approaches to Working With Females • Relational Approaches • Significant for women due to amount of disconnection and violations in their relationships. • Need healthy relationships to change and grow. • Relational context is seen as important in understanding why women offend, their motivations for change, and their needs for reintegration.

  47. Conclusions About Approaches • CBT and relational approaches are not mutually exclusive • Relationships can be a focus of CBT programming (focus on how women choose friends and intimates and consequences of those choices so they can make better choices) • Programs can help foster healthy relationships for women

  48. Examples From the Field • Passages Program for Girls • Residential Substance Abuse Program • Primary modality is CBT (Corrective Thinking) • Milieu management model is Teaching Family Model (TFM) – social learning theory • Recently adopted VOICES curriculum - relational • Provides MH counseling • Used to provide groups specific to relationships and self-esteem; re-examining these services. • Provides some family therapy and case management

  49. Relationship Between Intermediate Outcomes and Recidivism • Preliminary Results for Successful Completers • Increased self-esteem = 62.5% • Change from pre to post statistically significant • Increased self-efficacy = 61.4% • Change from pre to post statistically significant • Reduced antisocial attitudes = 82.5% • Change from pre to post statistically significant • Significant changes in family functioning: • Cohesion • Conflict • Intellectual-Cultural Orientation, • Moral-Religious Emphasis • Organization

  50. Examples From the Field • Hamilton County Probation GEMS Unit • Girls Empowered and Motivated to Succeed • Girls only caseload • Caseloads capped at 25 • Staff trained in gender responsivity • Provide more intensive interaction with PO and for longer periods of time • Provide girls-only groups (Girls Circle) • Focus is on relationship building • Specialized risk assessment (HRAF)

More Related