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Understanding Victim Blaming in Domestic Violence Among Adults in The U.S.
Get PDFDomestic violence, encompassing a range of abusive behaviors, remains a pervasive issue affecting countless individuals globally. Understanding the factors that shape attitudes toward domestic violence is crucial for developing effective interventions and prevention strategies. This study intends to explore the relationship between gender role belief, cultural orientation, and media influences and attitudes toward domestic violence. A non-random sample of 92 participants currently residing within the United States and over the age of 18 were recruited to participate in an online survey. Regression analyses revealed significant associations between attitudes toward domestic violence and gender role beliefs, indicating that individuals with more feminist beliefs are less tolerant of domestic violence. Additionally, relationship status was a significant predictor, with single individuals and those in other relationship statuses, such as widowed, divorced, or engaged, exhibiting lower tolerance toward domestic violence compared to those who are married. Findings suggest that gender role attitudes and relationship status may play significant roles in shaping individuals\u27 attitudes toward domestic violence. These results highlight the importance of considering both sociocultural beliefs and relationship dynamics in understanding attitudes toward domestic violence
ISSUES IN TRANSITIONAL HOUSING PROGRAMS FOR YOUTH
Get PDFFormer foster youth transitioning into a THP face a lot of challenges trying to figure out how to live independently and meet requirements such as work, school, while maintaining a good well-being. There is literature on the different services and support that youth in THP need and that can be improved, such as support and guidance. However, there is little understanding of what is successful when it comes to THPs. The exploratory study will investigate how transitional housing programs can make changes to be more effective. To begin conducting the study, the researcher will send flyers to two THPs in Southern California. The qualitative study will explore the issue through Zoom interviews by conducting a non-probability purposive sampling method. The research question is: How can educational opportunities and resources for employment be optimized to support well-being and promote success in transitional housing programs for former foster youth
Measuring Motive: A Systematic Review of the Cyber Aggression Typology Questionnaire
Get PDFCyber aggression is a widespread social problem with serious psychological impacts on both perpetrators and victims. Eighty-five percent of Americans say they use the Internet daily, and thirty-one percent of Americans report they go online “almost constantly”. Forty-one percent of Americans say they have experienced some form of online harassment. While there is a great deal of research across various disciplines about the frequency of cyber aggression, who perpetrates it, and what traits are associated with it, motivations for cyber aggression are less understood. Understanding the motivations involved is an important factor in preempting and countering cyber aggression. The Cyber Aggression Typology (CATQ) is an instrument that disentangles four forms of cyber aggression through a quadripartite violence typology: recreation, reward, rage, and revenge. This study systematically reviewed empirical studies that used the CATQ to understand the impact of an instrument that disentangles aggressive motivations. This systematic review found that this specific instrument, in contrast to other instruments, can track unique relationships between motivations for cyber aggression and traits such as gender, hostile intent attribution, and culture. Findings indicate that reward and recreation are strong motivators for cyber aggression, suggesting more focus is needed on appetitive motivations and how they interact with specific affordances provided by the digital realm
Precarious Manhood: Masculinity Threats in Gay Men
Get PDFManhood is a precarious state that is both sought and easily undermined and demands continual validation from public perceptions. Previous research shows that threats to one\u27s masculinity often coerces reactions of bravado, aggression, and sexual risk-taking behaviors in men in an attempt to reestablish their manhood. However, little empirical attention is paid to deviations of such reactions as a result of varying self-concepts of masculinity and femininity, such as in gay men. In the current study, I explored the different ways in which self-identified masculine and feminine gay men navigate the volatile state of manhood, particularly when confronted with masculinity threats. I expected that for gay men, the association between masculinity threat and subsequent bravado and risk-taking behaviors would depend on whether they identify as masculine or feminine. In my study, gay men completed a measure of masculinity-femininity (with low scores indicating greater masculine identification) and a “personality test of gender identification)”. Half the men received false feedback that their score on a personality measure indicated they had a feminine gender identity (threat condition) and half received no feedback (control condition). I expected that in response to masculinity threat, gay men’s scores on a measure of masculinity-femininity (with lower scores indicating strong masculinity) would be associated with increases in aggressive thoughts (bravado), social dominance orientation, comfort with risky sexual behaviors, and trans negativity. My analyses provided partial support for my hypotheses. In the threat (but not the control condition), masculine identification was associated with increased social dominance orientation and negative attitudes towards both trans men and trans women. This pattern was not found for aggressive thoughts and sexual risk behavior measures
FORMERLY INCARCERATED PEOPLE\u27S EXPERIENCES TRYING TO ACCESS AFFORDABLE HOUSING
Get PDFLack of affordable housing among formerly incarcerated people continues to be a major social issue, as thousands of individuals and families in the United States continue to struggle with being unsheltered. Formerly incarcerated people build up 69% of the population who reside within these shelters in the United States (Glassman, 2024). The literature in this research discusses that common systemic barriers among formerly incarcerated individuals accessing housing are lack of affordable housing, facing stigma and discrimination, or no employment opportunities. Previous research shows that there is a limited number of participants and is focused on newly released prisoners in their studies. Yet, it’s beneficial for research to follow up with individuals later throughout their journey, to identify if housing and employment barriers stay the same. For this purpose, this study uses a qualitative research approach to help understand and explore deeper insights into what specific systemic barriers formerly incarcerated face when accessing housing. Qualitative approach is intended to gather participants\u27 experiences and perceptions towards this social issue. The sampling method used to help investigate the research question is purposive sampling since it allows the researcher to select participants that meet certain characteristics or criteria relevant to the study objectives. The study’s significance is that it contributes to the literature and raises awareness of the systemic barriers formerly incarcerated populations face when accessing affordable housing
SHATTERED CAMPUSES: SCHOOL SHOOTINGS AND IDENTITY FORMATION
Get PDFSchool shootings have become a pervasive issue in the U.S., impacting both students and educators. Since the Columbine tragedy, an estimated 187,000 students have experienced campus shootings, reflecting the tragic and often overwhelming nature of this phenomenon (Cox & Rich, 2018). Educators are tasked with devising structured responses to these incidents, facing the challenge of balancing safety with educational goals. While quantitative research on school safety is abundant, limited qualitative insight exists into how school leaders interpret data to design effective safety protocols tailored to their unique environments. This study aims to explore how individual schools perceive their vulnerability, prepare for potential threats, and adapt structures for safety. Research questions focus on educators’ understanding of current and future threats, the strategies in place to address them, and the benefits and challenges of these measures. This research holds particular significance as it directly addresses student safety, a primary school responsibility. According to the Secret Service, school safety is a shared duty across law enforcement, school staff, mental health professionals, and the public (Protecting America’s Schools, 2019). Furthermore, the California Department of Education emphasizes that safety planning must be dynamic, with schools regularly assessing their policies in alignment with changing needs. The study employs Tudor et al.\u27s (1997) Circuit of Culture to analyze the representation and formation of safety measures within schools, alongside Bandura\u27s Social Learning Theory to examine the role of observational learning in shaping safety behaviors. Ultimately, this research aims to facilitate a collaborative approach among educational sites to enhance preventive and responsive measures, contributing to safer learning environments for American students
PREDICTING LATE DELIVERIES IN INTERNATIONAL HEALTHCARE LOGISTICS USING MACHINE LEARNING MODELS
Get PDFThe healthcare supply chain plays a pivotal role in ensuring the timely delivery of essential medical supplies, particularly during global crises such as the COVID-19 pandemic. However, this critical system is often plagued by inefficiencies and disruptions caused by factors such as inadequate infrastructure, natural disasters, geopolitical tensions, and variability in vendor performance. These challenges underscore the need for advanced methodologies to enhance supply chain resilience and operational efficiency. This culmination experience project explores the integration of machine learning models and external variables, such as the Logistics Performance Index (LPI), to optimize lead-time predictions and mitigate risks in global healthcare supply chains.
The research questions are: (Q1) What are the influential factors in health care logistics on-time deliveries? (Q2) How can predictive analytics and machine learning models be used to identify the shipments with high chance of late deliveries in healthcare logistics? (Q3) What role does the integration of external variables like the country logistics capabilities play in improving the accuracy of prediction of healthcare logistics performance, and why is this critical? The findings reveal that machine learning models, including random forest regression and hybrid algorithms such as WKM_ID3, effectively identify critical factors influencing delays, such as transportation modes and vendor terms, significantly enhancing prediction accuracy and operational efficiency.
Furthermore, the integration of the LPI provides a comprehensive framework for understanding how national logistics capabilities influence delivery timelines, thereby enabling proactive risk mitigation strategies. These findings highlight the transformative potential of data-driven approaches in healthcare logistics.
The study concludes that leveraging predictive analytics allows healthcare supply chains to transition from reactive to proactive management, fostering enhanced resilience and efficiency. Incorporating external indicators like the LPI further strengthens predictive capabilities, offering actionable insights into addressing systemic vulnerabilities. Future research could investigate the long-term implications of machine learning-enabled logistics on cost-effectiveness, global healthcare accessibility, and sustainability. Additionally, examining the regulatory and geopolitical constraints impacting healthcare supply chains offers valuable avenues for further exploration
AIDING FOSTER YOUTH TOWARD HIGH SCHOOL GRADUATION
Get PDFResearch has displayed the differences between the number of students who are non-foster youth graduating high schools and the number of students who are foster youth graduating high schools. The foster youths’ numbers are low in comparison to those who are non-foster youth. Why? The research paper has gathered articles and references to determine common factors that prevent these students from graduating with their classmates and from being successful for the outside world. Through this research, it will go over the common factors that can impact a youth’s life, the supports that can aid towards the youths’ struggles, the sources used in schools, and it would conduct a study collecting data from the youth who are about to graduate high school and/or have already graduated high school asking them questions regarding their experiences with the resources and how many helped them
WHAT IS THE CORRELATION BETWEEN 9-1-1 EMERGENCY PSYCHIATRIC CALLS IN SAN BERNARDINO COUNTY AND MENTAL HEALTH SERVICES
Get PDFIt is important to address the mental health crisis in the United States to understand the effects it has on individuals, families, and communities and promote better access to mental health services. The mental health crisis has led to an increase in demand for mental health care and economically the U.S. has not been able to satisfy this demand. This paper raises awareness about the issue by emphasizing the need for better access to mental health, reducing the stigma in mental illness, building resilience in individuals, and connecting people to resources that will create a safer and more welcoming environment. This is to act as a service to individuals that are suffering from mental health issues, raise awareness about the mental health crisis, and bring knowledge to these individuals to utilize existing agencies in their area. The study will provide additional information on the relationship between emergency services, call volumes and mental health services that will lead to more effective strategies for managing the mental health crisis. The specific purpose of this study is to evaluate the correlation between 9-1-1 emergency psychiatric calls in San Bernardino County and the number of mental health services in the area. I plan to collect this data, and I expect the results to contribute to increasing the amount of mental health resources in San Bernardino County
EFFECT OF EMOTIONAL EXPRESSION AND TEETH VISIBILITY ON FACIAL PROCESSING
Get PDFThe N170 is an event-related potential (ERP) component commonly associated with its sensitivities to face stimuli. While mixed literature exists, the N170 has been repeatedly demonstrated to be modulated by emotion. In a highly cited study, Blau et al. (2007) found that the N170 is heavily modulated by emotional expression, with fearful expressions eliciting larger N170 amplitudes than neutral expressions. In their study, however, analysis did not account for variability in mouth positioning in fearful and neutral expressions and how this variability might influence differences observed in amplitudes of the N170. A distinctive feature in the fearful condition was the presence of exposed teeth, whereas the neutral expression did not show teeth.
In the present study, research analysis focused on how mouth variations in emotional display can modulate event-related potentials (ERPs). Participants (N=42) categorized facial stimuli by sex. Stimuli consisted of 288 images of faces, balanced for sex and race/ethnicity, with fearful, happy, or neutral expressions, and were controlled for mouth display (open mouth with visible teeth vs. closed mouth).
Results revealed that the N170 was significantly modulated by the presence of teeth, irrespective of emotion shown; however, the P100 waveform displayed significant interaction between these variables.
Overall, results showed that the N170 is not modulated by emotion, but rather the visibility of teeth, indicating that teeth may play a significant role in neural processing of facial recognition and emotion perception. Further, differences between the N170 and P100 may highlight distinct neural processing pathways for early and late face recognition that future research may look to assess