Talented, Valuable, and Committed: Employer Perceptions of Applicants with a Criminal History

2021 ◽  
Vol 2021 (1) ◽  
pp. 13902
Author(s):  
Nicole C. Young ◽  
Jakari Griffith ◽  
Jessica Keech
Keyword(s):  
Criminal History ◽  
Employer Perceptions

Bias in Hiring Applicants With Mental Illness and Criminal Justice Involvement: A Follow-Up Study With Employers

2017 ◽  
Vol 44 (6) ◽  
pp. 777-795 ◽  
Author(s):  
Ashley B. Batastini ◽  
Angelea D. Bolaños ◽  
Robert D. Morgan ◽  
Sean M. Mitchell
Keyword(s):  
Criminal History ◽  
Job Applicants ◽  
Educational Training ◽  
Negative Attitudes ◽  
Minimal Impact ◽  
Brief Training ◽  
Employer Perceptions ◽  
Criminal Histories ◽  
Criminal Background ◽  
Healthy Control

Negative employer perceptions of job candidates with psychiatric and criminal backgrounds is one factor contributing to high unemployment rates among these groups. The current study replicated and extended Batastini et al., which evaluated stigmatizing beliefs toward hypothetical job applicants who had a known psychiatric and/or criminal history or neither (i.e., healthy control), as well as the effectiveness of a brief training component to mitigate biased attitudes. However, the current study addressed two major limitations of the original study by (a) including participants ( N = 259) who reported current, past, or expected hiring experience and (b) including employer benefits in the training component. Results were generally consistent with prior research suggesting that people with psychiatric and criminal histories experience greater stigma from employers; however, the brief educational training component demonstrated minimal impact on reducing negative attitudes regardless of the applicant’s identified psychiatric or criminal background.

The effects of race and criminal history on landlords’ (un)willingness to rent to exonerees.

2020 ◽  
Vol 44 (4) ◽  
pp. 300-310
Author(s):  
Lesley Zannella ◽  
Kimberley Clow ◽  
Emma Rempel ◽  
Leah Hamovitch ◽  
Victoria Hall
Keyword(s):  
Criminal History

Focal Concerns and Intimate Partner Violence Case Processing: Predicting Arrest Using a Stratified Random Sample of Police Case File Data

2021 ◽  
pp. 001112872110104
Author(s):  
Cortney A. Franklin ◽  
Leana A. Bouffard ◽  
Alondra D. Garza ◽  
Amanda Goodson
Keyword(s):  
Intimate Partner Violence ◽  
Random Sample ◽  
Partner Violence ◽  
Police Department ◽  
Intimate Partner ◽  
Criminal History ◽  
Future Research ◽  
Binary Logistic Regression Model ◽  
Case File ◽  
Focal Concerns

Focal concerns has utility for explaining criminal justice decisions, including among police. At present, there is no research that has examined focal concerns and arrest decisions in non-sexual, intimate partner violence (IPV) cases. This study used a stratified random sample of 776 IPV incidents from an urban police department in one of the five largest and most diverse US cities to assess the effect of focal concerns on arrest. A multivariate binary logistic regression model demonstrated victim injury, suspect IPV and general criminal history, evidence, witnesses, victim preference for formal intervention, women victims, and intoxicated suspects predicted arrest. When the suspect was on scene, this was the strongest predictor of arrest. Implications and future research are discussed.

The Contribution of Static and Dynamic Factors to Recidivism Prediction for Black and White Youth Offenders

2021 ◽  
pp. 0306624X2110226
Author(s):  
William T. Miller ◽  
Christina A. Campbell ◽  
Jordan Papp ◽  
Ebony Ruhland
Keyword(s):  
Racial Bias ◽  
Black Youth ◽  
Criminal History ◽  
Risk Assessments ◽  
White Youth ◽  
Youth Offenders ◽  
Black And White ◽  
Dynamic Factors ◽  
Recidivism Prediction ◽  
The Individual

Scholars have presented concerns about potential for racial bias in risk assessments as a result of the inclusion of static factors, such as criminal history in risk assessments. The purpose of this study was to examine the extent to which static factors add incremental validity to the dynamic factors in criminogenic risk assessments. This study examined the Youth Level of Service/Case Management Inventory (YLS/CMI) in a sample of 1,270 youth offenders from a medium-sized Midwestern county between June 2004 and November 2013. Logistic regression was used to determine the predictive validity of the YLS/CMI and the individual contribution of static and dynamic domains of the assessment. Results indicated that the static domain differentially predicted recidivism for Black and White youth. In particular, the static domain was a significant predictor of recidivism for White youth, but this was not the case for Black youth. The dynamic domain significantly predicted recidivism for both Black and White offenders, and static risk factors improved prediction of recidivism for White youth, but not for Black youth.

Dispelling a Myth: Reevaluating the Predictive Validity of Rape Myth Acceptance for Likelihood of Engaging in Sexual Violence

Sexual Abuse ◽  
2021 ◽  
pp. 107906322110262
Author(s):  
Annabelle Frazier ◽  
Joseph E. Gonzales
Keyword(s):  
Violence Prevention ◽  
Sexual Violence ◽  
Predictive Power ◽  
Rape Myths ◽  
Criminal History ◽  
College Campuses ◽  
Rape Myth ◽  
Sexual Assaults ◽  
College Age ◽  
Recent Attention

Sexual violence prevention on college campuses has received significant recent attention. A prevalent intervention paradigm has centered around re-educating young people around consent and reduce endorsement of “rape myths,” based on the correlation between rape myths and sexual violence incidents. Yet many of these programs have not measurably reduced sexual assaults. We evaluated the predictive value of a rape myth measure, as compared with other predictors (criminal history, childhood victimization, aggressive tendencies, substance use, and empathy), in predicting self-reported acts of forcible and incapacitated sexual assault in college-age men ( N = 304) from 45 U.S. states. Across three logistic regression model pairs, rape myths were weakly associated with violence when considered as sole predictors. However, this predictive power dissipated when other predictors were included. Comprehensive models accounted significantly better for variability in outcomes; with criminal history demonstrating consistent predictive effects. Based on these findings, we recommend further research into prevention programming based on other predictors of violence.

Found Out and Opting Out

2016 ◽  
Vol 665 (1) ◽  
pp. 127-141 ◽  
Author(s):  
Sarah Esther Lageson
Keyword(s):  
Criminal Justice ◽  
Family Relationships ◽  
Justice System ◽  
Well Being ◽  
Criminal History ◽  
Criminal Records ◽  
Opting Out ◽  
Private Lives ◽  
Criminal Histories ◽  
The Relationship

Online criminal histories document and publicize even minor brushes with the law and represent people who may not even be guilty of any crime. This has dramatically changed the relationship that millions of Americans have with the criminal justice system and may affect their social and private lives. Drawing on interviews and fieldwork with people attempting to expunge and legally seal their criminal records, I explore how online versions of these records impact family relationships. Many who appear on mug shot and criminal history websites are arrestees who are never formally charged or convicted of a crime. The indiscriminate posting of all types of justice contact on websites may impact those who, for the most part, desist from crime and are core contributors to their family and community. I find that many of those who are affected by the stigma of online records did not know that records existed until they “popped up” unexpectedly, and that this experience leads them to self-select out of family duties that contribute to child well-being.

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