Counselors' Attributions of Blame Toward Female Survivors of Battering

Notestine, Lori; Murray, Christine; Borders, L. DiAnne; Ackerman, Terry A.

doi:10.17744/mehc.39.1.05

Cited by 8 publications

(3 citation statements)

References 142 publications

(364 reference statements)

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“…Problematic biases related to IPV are largel attributable to a poor understanding of the complex dynamics contributing to IPV (Perrin, 2017; Tarzia et al, 2021). IPV is marked by a chronic pattern of coercive control functioning to maintain one partner’s power over the other (Notestine et al, 2017). Questioning why a victim stays with an abuser, for example, implies that he or she could choose to leave the abusive relationship (Perrin, 2017).…”

Section: Problematic Bias and Dynamics Of Ipvmentioning

confidence: 99%

A Systematic Review of Empirical Studies Measuring Training Effects on Biases Evidenced by Professionals toward Intimate Partner Violence

Sereno

Catagnus

Griffith

et al. 2023

Trauma, Violence, & Abuse

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A professional’s response to a client’s disclosure of intimate partner violence (IPV) is shown to significantly impact client outcomes. The quality of a professional’s response is largely influenced by that professional’s beliefs or biases surrounding IPV. This systematic review examined empirical studies conducted in North America and published between 2000 and 2020 evaluating training effects on biases held by professional groups toward victim-survivors of IPV. Search and extraction were conducted in accordance with preferred reporting items for systematic reviews and meta-analyses standards across seven electronic databases. A total of 17 studies met inclusion criteria. Participant groups included professionals from medical, academic, and social/community service disciplines. All included studies reported significant gains on at least one measure of bias. Upon visual inspection, we found no correlations between characteristics of training interventions and reported outcomes on measures of bias. We discuss results in terms of challenges to measuring bias and functional relationships between training interventions, measures of bias, and professional behavior. Variation presented across studies within and between disciplines in regards to training methodology and measurement of bias. Experts in the field of IPV call for a more cohesive approach. We propose the behavior analytic conceptualization of bias as a framework through which interdisciplinary efforts might be unified toward addressing IPV-related biases. Through this lens, we discuss environmental cues within professional settings that might be influencing problematic IPV-related bias. We offer preliminary recommendations for curricular enhancements. We advocate for revision of terms commonly used in IPV-related research and intervention to better reflect and honor diversity across persons experiencing IPV.

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Section: Problematic Bias and Dynamics Of Ipvmentioning

confidence: 99%

A Systematic Review of Empirical Studies Measuring Training Effects on Biases Evidenced by Professionals toward Intimate Partner Violence

Sereno

Catagnus

Griffith

et al. 2023

Trauma, Violence, & Abuse

View full text Add to dashboard Cite

show abstract

“…More traditional beliefs about gender and sexist attitudes also have been associated with victim blaming for both sexual and non-sexual forms of IPV (Erickson et al, 2017;Koepke et al, 2014;Penone & Spaccatini, 2019;Stewart et al, 2012). This relationship, between sexist attitudes and victim-blaming for IPV, has even been demonstrated among mental health counselors (Notestine et al, 2017).…”

Section: Observer Characteristicsmentioning

confidence: 97%

Alcohol, gender, and violence: Factors influencing blame for partner aggression

Ross

Davis

2022

Behavioral Sci & The Law

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Alcohol use has been associated with intimate partner violence (IPV) and reduced perpetrator blameworthiness, but this finding is not universal. Researchers examining alcohol and IPV-related blame often utilize vignettes depicting perpetrators who are sober and compare this to perpetrators depicted as more or less intoxicated. In this study, participants read one of three vignettes depicting male-to-female physical IPV. We compared participants' blame attributions across three conditions: perpetrator sober, perpetrator intoxicated-infrequent drinker, and perpetrator intoxicated-frequent drinker. Alcohol did not mitigate perpetrator blameworthiness for the assault; however, only the intoxicated-frequent drinker was rated as more blameworthy for his violence than the sober perpetrator. Participants also reported their own IPV perpetration, drinking behaviors, and gender role beliefs. Traditional gender role beliefs and a history of IPV perpetration were associated with shifting some of the blame onto the victim, and this was true for both men and women, especially when the perpetrator was described as a frequent drinker.Researchers should consider whether their alcohol vignettes might depict a behavior as reflecting the situation or the drinker's character, as this may impact their results. Furthermore, different observer characteristics may differentially predict blame attribution.

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“…Yamawaki et al ( 2009 ) found that individuals higher in benevolent sexism had greater tendencies to blame victims of rape, and Notestine et al ( 2017 ) found that ambivalent sexism was a significant predictor of blaming battered females. This may be because people who endorse benevolent sexism see women in need of protection when their actions align with stereotypical gender roles.…”

Section: Introductionmentioning

confidence: 99%

What Matters When Examining Attitudes of Economic Abuse? Gender and Student Status as Predictors of Blaming, Minimizing, and Excusing Economic Abuse

et al. 2022

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Extensive research has been conducted regarding attitudes toward various types and patterns of violence against intimate partners, but there is a lack of research on attitudes toward economic abuse in general. In the current study, we examined attitudes toward economic abuse by examining how participants blamed the victim, minimized the economic abuse, and excused the perpetrator in hypothetical scenarios. We also examined two characteristics of participants: binary gender differences (i.e., woman, man) and differences between students and non-students. Participants ( N = 239) were recruited via the SONA system of a private university ( n = 120) and via Amazon's Mechanical Turk ( n = 119). Participants were randomly assigned to read one of two hypothetical scenarios to evaluate how scenario condition (i.e., victim employed, victim unemployed), participant gender, and participant student status predicted attitudes toward economic abuse involving blaming, minimizing, and excusing. Moreover, we also examined ambivalent sexism and gender role ideology as predictors. A 2 (scenario condition: job, no job) × 2 (participant gender: woman, man) × 2 (student status: college student, non-college student) MANOVA indicated main effects of both participant gender and participant student status. Follow-up ANOVAs revealed that men were more likely to blame victims, minimize the economic abuse, and excuse perpetrators compared to women. Additionally, students were less likely to minimize the economic abuse compared to non-students. Moreover, both hostile sexism and traditional gender role ideology were significant predictors. Implications of the findings and future directions for researchers are discussed.

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Counselors' Attributions of Blame Toward Female Survivors of Battering

Cited by 8 publications

References 142 publications

A Systematic Review of Empirical Studies Measuring Training Effects on Biases Evidenced by Professionals toward Intimate Partner Violence

A Systematic Review of Empirical Studies Measuring Training Effects on Biases Evidenced by Professionals toward Intimate Partner Violence

Alcohol, gender, and violence: Factors influencing blame for partner aggression

What Matters When Examining Attitudes of Economic Abuse? Gender and Student Status as Predictors of Blaming, Minimizing, and Excusing Economic Abuse

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