Abstract:Objective: To contribute a more complete and accurate understanding of rates of bias victimization toward Latinxs using self-report data from a community sample. Method: Totally, 910 Latinx adults from Boston, San Diego, and Houston were recruited through partnerships with community agencies and self-selection during local Latinx-focused events through the Spring and Summer of 2018. The survey evaluated experiences with hate crime, bias victimization, and non-bias victimization in their lifetime and past year.… Show more
“…Across the sites, 36.7% (n = 113) from Boston, 40.4% (n = 122) from Houston, and 26.4% (n = 80) from San Diego. The full sample demographics are presented in prior publications (Cuevas et al, 2021). As shown in Table 1, participant gender was relatively evenly split across the sample with female comprising 46.4%, male 53%, and a small minority of participants identifying as non-gender conforming (.6%).…”
Section: Methodsmentioning
confidence: 99%
“…Participants were asked if any of the incidents happened in their lifetime due to their race or ethnicity. Internal consistency for the BVQ-L is .86 for lifetime victimization (Cuevas et al, 2021). Two different count variables were constructed.…”
Section: Independent Variablesmentioning
confidence: 99%
“…Against Latinx victims, hate crimes have risen at an even higher rate, increasing 39% between 2016 and 2018 (FBI, 2019). Self-reported rates of hate crime victimization reported in the Understanding and Measuring Bias Victimization against Latinos study found 26% of Latinx respondents experiencing any bias victimization in the past year and 10% of respondents experienced hate crime victimization in that same period (Cuevas et al, 2021). The rates of formally identified hate crime victimization of Latinxs as reported by the UCR and the reported victimization found in self report studies indicates significant experiences of bias victimization and hate crime incidents.…”
Latinx adults have become increasingly vulnerable to bias motivated victimization. The impact of such incidents on Latinx communities is severely understudied, particularly concerning whether or not victims will seek help as a result of such events. Evidence within other victimization contexts demonstrate Latinx populations may be less likely to seek formal help from police, medical providers, and other formal authorities, relying instead on informal support networks such as family and friends. The current study sought to understand formal and informal help-seeking behavior among Latinx adults who experienced bias motivated victimization. The Understanding and Measuring Bias Victimization against Latinos study obtained rates of bias victimization and subsequent help-seeking behavior among Latinx adults who reported experiencing bias victimization (n = 315, 34.6% of full sample of 910). Those who experience bias victimization seek formal help at much lower rates than informal forms of support. Logistic regression analyses controlling the type of victimization demonstrated that participants who experienced a victimization constituting a hate crime were more likely to seek formal help compared to experiencing non-criminal bias events. Implications include addressing barriers to Latinx bias victims seeking forms of help, in addition to understanding the potential polyvictimization histories that predict why Latinx adults may decide to seek help.
“…Across the sites, 36.7% (n = 113) from Boston, 40.4% (n = 122) from Houston, and 26.4% (n = 80) from San Diego. The full sample demographics are presented in prior publications (Cuevas et al, 2021). As shown in Table 1, participant gender was relatively evenly split across the sample with female comprising 46.4%, male 53%, and a small minority of participants identifying as non-gender conforming (.6%).…”
Section: Methodsmentioning
confidence: 99%
“…Participants were asked if any of the incidents happened in their lifetime due to their race or ethnicity. Internal consistency for the BVQ-L is .86 for lifetime victimization (Cuevas et al, 2021). Two different count variables were constructed.…”
Section: Independent Variablesmentioning
confidence: 99%
“…Against Latinx victims, hate crimes have risen at an even higher rate, increasing 39% between 2016 and 2018 (FBI, 2019). Self-reported rates of hate crime victimization reported in the Understanding and Measuring Bias Victimization against Latinos study found 26% of Latinx respondents experiencing any bias victimization in the past year and 10% of respondents experienced hate crime victimization in that same period (Cuevas et al, 2021). The rates of formally identified hate crime victimization of Latinxs as reported by the UCR and the reported victimization found in self report studies indicates significant experiences of bias victimization and hate crime incidents.…”
Latinx adults have become increasingly vulnerable to bias motivated victimization. The impact of such incidents on Latinx communities is severely understudied, particularly concerning whether or not victims will seek help as a result of such events. Evidence within other victimization contexts demonstrate Latinx populations may be less likely to seek formal help from police, medical providers, and other formal authorities, relying instead on informal support networks such as family and friends. The current study sought to understand formal and informal help-seeking behavior among Latinx adults who experienced bias motivated victimization. The Understanding and Measuring Bias Victimization against Latinos study obtained rates of bias victimization and subsequent help-seeking behavior among Latinx adults who reported experiencing bias victimization (n = 315, 34.6% of full sample of 910). Those who experience bias victimization seek formal help at much lower rates than informal forms of support. Logistic regression analyses controlling the type of victimization demonstrated that participants who experienced a victimization constituting a hate crime were more likely to seek formal help compared to experiencing non-criminal bias events. Implications include addressing barriers to Latinx bias victims seeking forms of help, in addition to understanding the potential polyvictimization histories that predict why Latinx adults may decide to seek help.
“…Therefore, this sample represents three diverse geographic regions of the United States that contain Latinx populations from different countries of origin and with different types of immigration statuses. The first wave of data has previously been used in publications (Cuevas et al, 2021). This is the first study to specifically analyze the second wave of data.…”
Section: Methods Participantsmentioning
confidence: 99%
“…Two of these include the focus on specific understudied or marginalized groups, and the evaluation of victimization experiences unique to some of these groups such as hate crime or bias-motivated violence. Work has started to address these themes, providing greater insight on how some forms of violence impact specific communities or populations (Cuevas et al, 2021; Shively et al, 2014).…”
Objective: The aim of the current paper is to provide an applied introduction and overview of Bayesian methodology, how it compares from commonly used frequentist methods, and to elaborate on the utility of Bayesian methods in trauma and mental health research. Method: Using data from the second wave of the Longitudinal Examination of Victimization Experiences of Latinos (LEVEL) study (N = 323) we ran frequentist modeling using OLS regression to test the effects of lifetime victimization, hate crime, and noncriminal bias events on anxiety, depression, anger, and dissociation. For the Bayesian analyses, we replicate these regressions using both weakly informative and highly informative priors, as well as a likelihood function that addresses data skew. Results: Results across the 3 analyses present some key differences. In the frequentist models we find that lifetime victimization, hate crime, and noncriminal bias events had significant and positive relationship with anxiety, depression, and anger. Only hate crimes were significantly related to dissociation. The Bayesian results change based on which priors were implemented into the models. Ultimately, the results differ both across methodologies and within the Bayesian methodology depending on type of prior used. Conclusions: Several meaningful differences between the approaches emerge resulting in different interpretations of these results. Bayesian analyses serve as an additional tool for researchers that can be used to answer new and unique research questions that may be inaccessible by frequentist methods.
Research has drawn attention to the stigma and high rates of victimization among people with intellectual disabilities (ID) and an overlap between bias and non-bias victimization. However, studies of bias events or hate crime involving persons with ID are scarce. Using a self-report measure, we analyze lifetime bias victimization in a sample of 260 adults diagnosed with ID (age M = 41.7, SD = 12.0; 59.2% men), of whom 92 experienced bias victimization (age M = 41.2, SD = 11.9; 54.3% men), and compare the number of different types of victimization and the poly-victimization status between bias and non-bias victims. We also examine the following features: the victim, offender(s), victim–offender relationship, and location. Results show that bias victims experience a higher number of different types of victimization than non-bias victims ( M = 7.74 and 4.96, respectively; p <.001, rrb=.37, ξ=.42) and are four times more likely to be poly-victims than non-bias victims (odds ratio [ OR] = 4.37; 95% CI, p <.001). Most of the victims experienced a number of bias victimization episodes (89.1%; n = 82), and more than a quarter were injured (27.2%, n = 25) as a result of the victimization. All the bias victimizations by strangers were carried out in public places, as were most of the bias victimizations by acquaintances. Schoolmates and work colleagues perpetrated attacks at school and in the workplace, respectively. More than half of the victims, 63% ( n = 58), spoke of the experience with someone, but only one reported it to the authorities. The paper provides a valuable descriptive and bivariate analysis of bias victimization of people with ID. The findings will help to understand bias violence against this population, highlighting the need for targeted and effective interventions.
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