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Merry Morash

Researcher at Michigan State University

Publications -  136
Citations -  5169

Merry Morash is an academic researcher from Michigan State University. The author has contributed to research in topics: Poison control & Juvenile delinquency. The author has an hindex of 40, co-authored 135 publications receiving 4746 citations. Previous affiliations of Merry Morash include American Society of Criminology.

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Assessing Recidivism Risk Across Female Pathways to Crime

TL;DR: The Level of Supervision Inventory-Revised (LSI•R) as mentioned in this paper is used to classify offenders as high, medium, and low recidivism risks. But the LSI•R has been criticised by some researchers.
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Poverty, state capital, and recidivism among women offenders*

TL;DR: In this article, the effects of poverty and state capital (i.e., state-sponsored support) on recidivism among women offenders have been investigated, and they find that providing state-supported support to address short-term needs (e.g., housing) reduces the odds of recidivation by 83%.
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Domestic Violence in the Vietnamese Immigrant Community An Exploratory Study

TL;DR: In this article, the authors examined domestic violence in Vietnamese American families, focusing on changes in socioeconomic structure and culture, to identify factors associated with wife abuse and found that traditional family values, beliefs in traditional female roles, and perceptions about racial discrimination could simultaneously affect women's experience of violence by husbands.
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Gender, workplace problems, and stress in policing

TL;DR: In this paper, the authors focus on the connection of workplace problems with stress for women and men working in police departments and find that women do not report higher levels of stress than men.
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Multilevel Influences on Police Stress

TL;DR: In this article, the authors examined the workplace problems that were hypothesized to predict stress and found that lack of influence over work activities and bias against one's racial, gender, or ethnic group were important predictors of stress after controlling for demographic variables.