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Familismo: Exploring a Culturally Sensitive Correlation Between Parentification and Relationship Satisfaction Amongst First Generation Mexican-American Adults Through an Attachment Theory Lens
Full text linkParentification refers to the role reversal of children who take on adult responsibility to care for family members. This role is often filled by Mexican-American children as a result of immigration and assimilation. This study explored the relationship between parentification and adult romantic relationship satisfaction among first-generation Mexican-American adults, with particular attention to the moderating roles of attachment styles and perceived unfairness. While earlier research has linked parentification to mental health challenges, few studies have examined its long-term impact on intimate relationships, including relationship satisfaction and experiences of intimate partner violence. A total of 132 participants completed an online survey using validated measures of parentification, language brokering, attachment, relationship satisfaction, and intimate partner violence. Data were analyzed using descriptive statistics, t-tests, multiple moderation regression analyses, and chi-square tests. The results revealed a nonsignificant relationship between parentification and intimate partner satisfaction. Further, attachment styles and perceived unfairness did not moderate this relationship. However, parentification was found to be significantly associated with intimate partner violence. These findings suggest the complex impact of cultural values on childhood role reversals and indicate that parentification may serve as a risk factor for relational safety in adulthood
Sensory Processing Difficulties and Their Impact on Social Skills and Behavioral Responses
No full textSensory processing disorder (SPD) is a condition marked by a consistent inability to integrate and process information received from the senses. This disorder, which affects between 5% and 16% of school-aged children, most commonly manifests as either under- or over-responsivity to sensory stimuli, but may also present with other atypical sensory behaviors. Children with SPD may struggle with nearly all aspects of daily living, having poorer social problem solving, reduced empathic concern, difficulty reading social cues, and atypical behaviors ranging from mild disruptions in self-regulation to severe behavioral problems, all of which may persist across the lifespan. The purpose of this quantitative correlational study was to identify potential relationships between sensory processing challenges and various social and behavioral outcomes in children. Patient data from an occupational therapy center focusing on children’s social and behavioral histories as reported by their parents, alongside scores from the Sensory Processing Measure, were analyzed to answer the following research questions: Does age affect the severity of Sensory Processing Total (SPT) scores? Do children between the ages of 2 and 17 years with high SPT scores have difficulty with social participation? Do those with sensory processing difficulties also have sleep wakings? Simple linear and binary logistic regression modeling indicated age and SPT did not have a statistically significant relationship; however, SPT significantly predicted difficulty with social participation (R2 = .37, p \u3c .001). Finally, SPT did not predict sleep wakings. Understanding the dynamics between socialization and sensory processing can help to refine the diagnostic procedures for SPD, enabling children with the condition to receive tailored supports to mitigate the challenges associated with the condition, leading to better, more responsive treatment
Identifying and Prioritizing Essential Healthcare Services for A Private Start-Up Healthcare Hub in Laxmipasha, Bangladesh
No full textThis quantitative study identifies and prioritizes essential healthcare services for developing a private start-up healthcare hub in Laxmipasha, Bangladesh, a rural community with significant gaps in healthcare access. Using secondary data from national and international sources, the research analyzed disease burden, population characteristics, and service availability to determine the most urgent health priorities. A structured, evidence-based framework was used to evaluate services based on mortality and morbidity, service gaps, and potential health impact. The findings indicate that Maternal and Child Health (MCH), Non-Communicable Disease (NCD) management, and infectious disease control represent the most critical priorities for initial implementation. The study also proposes a phased, scalable model emphasizing workforce development, digital health integration, community engagement, and financial sustainability. By aligning data-driven prioritization with strategic management principles, this research provides a practical blueprint for strengthening rural healthcare systems. The results contribute to the field of applied business research by offering an adaptable model for effective healthcare investment, operational efficiency, and long-term sustainability in low-resource settings.
Keywords: Healthcare service prioritization, rural health systems, service delivery, Laxmipasha, Bangladesh, data-driven strategy, healthcare management, sustainability, community engagement, operational planning
Well-being, Resilience, and Trauma during Migration: A Mixed Methods Study of Venezuelan Migrants in Transit
No full textA substantial body of research has examined the psychological impact of experiences preceding and following migration, yet comparatively little attention has been given to the psychological toll of the migration journey itself. Moreover, due to the relative novelty of the Venezuelan migrant crisis and the community’s arrival in the United States, the psychological impact of Venezuelan migrants’ unique migration experience has been underexamined. This study utilized an explanatory sequential mixed methods design to investigate the relationships between well-being, resilience, and trauma among Venezuelan migrants in Chicago, Illinois, while also exploring their lived experiences of the migration journey. Study participants (n = 202) completed a quantitative survey that assessed demographics, migration stressors, well-being, and resilience. Analyses revealed that exposure to potentially traumatic events during migration, particularly sexual assault among women, predicted poorer well-being, and that resilience predicted greater well-being. A subset of participants (n=14) completed a semi-structured qualitative interview. Qualitative analysis revealed six themes that illuminated the physical, psychological, and financial hardships migrants face as well as the widespread structural violence along the Central American migration corridor. It also provided insight into how the global community can support future migrants through policy and program implementation
The Impact of Religious Behaviors, Islamophobia, Gender Roles, Language Proficiency, and Education Levels on Mental Illness Stigma and Help-Seeking Behaviors Among Arab Women in the U.S.
No full textThe official U.S. census does not provide data on the number of Arab Americans in the United States, which hinders studies that focus on this population group to explore their needs and improve access to mental health services. Arab women in America represent a subgroup that has received insufficient attention from researchers, particularly regarding culturally sensitive topics such as mental health problems and their associated stigma. The influence of cultural, social, and religious factors on self-stigma associated with mental illness has not been adequately studied among this marginalized group. While previous research has suggested a relationship between self-stigma, social stigma of mental illness, and help-seeking behavior among Arab American women, no research has examined the concept of stigma itself or its relationship to other variables. This mixed-methods study examined mental illness self-stigma, social stigma, and help-seeking behaviors among Arab American women and how these are influenced by religious behaviors, Islamophobia, gender role expectations, education, and English language proficiency. Survey results from 112 participants showed generally low self-stigma and moderate social stigma. Higher English proficiency and education were linked to lower stigma, while religious behaviors were associated with less help-seeking. Qualitative interviews with seven women revealed barriers to seeking help, including cultural beliefs, cost, language, and past negative healthcare experiences. Islamophobia emerged as a key stressor affecting emotional well-being. The findings highlight the need for culturally and linguistically sensitive mental health services for Arab American women
Mathematics in Crisis: Predictors of Achievement for Black and Latino High School Students Post-COVID-19
No full textThis quantitative study examines systemic factors predicting math achievement for Black and Latino high school students in Chicagoland\u27s 2025 graduating class, using public Illinois School Report Card data. It identifies teacher qualifications, chronic absenteeism, and school ratings as statistically significant predictors, confirming systemic inequities. The study advocates for structural policy reform, targeted teacher investment, and culturally responsive pedagogy to achieve equity and disrupt barriers for marginalized students
Strengthening The Shield: Exploring Post-Traumatic Growth In Law Enforcement
Full text linkLaw enforcement officers are routinely exposed to traumatic incidents that can lead to psychological distress, including posttraumatic stress disorder (PTSD). However, emerging literature highlights the potential for posttraumatic growth (PTG), a positive psychological change following adversity. This study examined the prevalence and predictors of PTG in a sample of 33 police officers from a Midwestern department. Using validated self-report measures, the study assessed the role of trauma exposure, cognitive restructuring of core beliefs, and perceived organizational culture, particularly supervisor support. Results indicated that both internal (core belief reflection) and external (supervisory support) factors significantly predicted PTG. Additionally, involvement in a shooting accounted for a unique portion of variance in PTG outcomes. These findings underscore the importance of supportive leadership and reflective processing in fostering resilience among officers, emphasizing trauma-informed leadership is not just a supportive resource, but a mechanism for transformation. By identifying key mechanisms of growth, this study informs strength-based interventions and policy recommendations aimed at enhancing officer wellness and psychological recovery
Does Artificial Intelligence Bias Exist in Mortgage Underwriting Software? Investigating Bias, Regional Disparities, and Fair AI Models
Full text linkThis quantitative study closely emulated Zou and Khern\u27s (2022) analysis of AI Bias in Mortgage Applications. They used the Home Mortgage Disclosure Act (HMDA) dataset from the Federal Financial Institution Examination Council\u27s (FFEIC) website to review mortgage loan data from 2019 to determine if there was bias in the AI mortgage application approvals. Those researchers concluded that bias does exist in the AI mortgage underwriting software. Since their study, research has demonstrated that discrimination continues to exist in AI software. Therefore, this research expands on Zou and Khern’s study to determine if there are differences in the mortgage loan approval outcomes, whether AI Bias is present in the mortgage application approvals, and if fair AI algorithms reduce AI bias in the mortgage application datasets by analyzing historical mortgage loan data from the HMDA dataset published in 2022. The variables in this study included race and region as an independent variable and mortgage loan approval outcome as a dependent variable. The statistical analysis included a Chi-square test to analyze the relationship between race, geographical, and loan approval outcomes. The methodology included the fair-on-average causal Effect (FACE) and fair-on-average causal Effect on the Treated (FACT) to detect AI bias in the dataset. Additionally, IBM AI Fairness 360 (AIF360) and Microsoft Fairlean (MSF) were used to detect and mitigate bias. The findings concluded that bias does exist in the mortgage application dataset. The research highlighted the need for fair AI algorithms to reduce bias in the mortgage approval process
Effective and Empowering Psychotherapy for Black Women: A Culturally Adapted Proposed Model
Full text linkBlack women in the United States are a minoritized group that has experienced oppression and suffering explicitly targeting their intersectional and minority identities. The intensity and frequency of stressors result in a negative impact on Black women that prompts a need to cope. Rather than relying on professional mental health care, many Black women rely on their religious and spiritual communities and other cultural and historical methods to cope with stressors. As a field and profession, clinical psychology has been overwhelmingly dominated by White individuals. The profession has a rich history of developing and perpetuating oppressive systems that have ignored or caused significant harm to minoritized patients. In recent decades, the push for inclusivity and acknowledging diversity when practicing clinical interventions with clients has gained traction. Still, it fails to center the distinct psychological needs of Black women. The randomized control trials intended to investigate the efficacy of clinical interventions targeting Black women are limited. Some qualitative data have been collected to assess the perceptions of Black women concerning different clinical interventions and offer some recommendations for working with Black women. Still, a void in the clinical treatment of Black women needs to be addressed. This dissertation proposes a model framework for identifying and addressing the psychological dilemmas that impact Black women to promote culturally competent practice that considers sociopolitical, intrapsychic, and interpersonal concerns and empowers Black women
The Relationship between the Perception Management Approaches of School Administrators and Social Capital in School
Full text linkThe Relationship between the Perception Management Approaches of School Administrators and Social Capital in School
Author1, Author2
Abstract
The purpose of this study is to explore the level of relationship between school administrators\u27 perception management approaches and social capital within schools, based on the perceptions of teachers in Turkey. In our study, we applied a descriptive correlational survey model and obtained opinions from 450 teachers working across different districts. Results indicate that perception management strategies implemented by school administrators based on honesty and persuasion have a positive impact on the social capital of the school. Our findings highlight the important role of the perception management approaches adopted by the school administrators based on honesty and persuasion in creating a school environment where norms are shared on the basis of trust, mutuality is adopted as a principle, communication and interaction are increased, and collaboration within social networks is cultivated. This knowledge can serve as a guide for school administrators, policymakers, policy implementers, and all administrators working at higher hierarchical levels in managing perceptions with the right methods and hence foster trust, build credibility, garner approval, integrate and mobilize all stakeholders in line with the goals of education, gather them around values, and build a system that will internalize educational goals.
Keywords: perception, perception management, capital, social capital, administrato