RESEARCH

My personal research projects involve exploring interesting topics to strengthen my research and analysis skills

 

DISSERTATION: mixed-methods (quantitative & qualitative)

quantitative

Project: Dissertation ( 2020)

Methods: multilevel logistic regression

How does immigration type differentially impact birth outcomes among native-born and foreign-born Black women in the United States?

The first chapter of my dissertation expands on my master’s thesis examination of native- and foreign- born Black mothers. I take the six largest cities in Ohio to examine the impact of nativity. Because birth certificate data does not include immigration status of the mother, I made a proxy variable to capture refugee and non-refugee mothers by cross listing countries that Ohio granted refugees entrance for the years that I had data for (2006-2013). This allowed me to approximate the mothers in my data set that were refugees. After constructing this variable, I ran multilevel logistic regression models and found that refugees, compared to non-refugees foreign-born Black mothers, were less likely to experience low birth weight. This finding peaked my interest and I started to wonder why might refugees be displaying better health outcomes? Was it something about their communities? Was it behaviors? These two questions led me to start a qualitative study involving in-depth interviews with refugee women in central Ohio to get a better understanding of their context and their personal perceptions.


For the qualitative component of my dissertation, I chose to conduct in-depth interviews with refugee women in Central Ohio. This area is home to the second largest Somali population outside of Minneapolis, MN. I had been volunteering at a community center and decided to start interviewing the women I was working with to further the research and knowledge we have on refugee populations and health. I developed a research plan, submitted an IRB application, received research funding through Ohio State University Mobility Project Grant ($1000) and Ohio State University Department of Sociology Silverman Grant ($600) to conduct interviews. Between spring/summer 2018, I conducted 25 semi-structured interviews with refugee women ages 18-68. The experience was illuminating both academically and personally. The interview data were transcribed with the help of a 3-person undergraduate research team and then themed using NVIVO software. My second and third chapters looked at critical themes surrounding two general concepts—social community & context and individual identity.

qualitative

Project: Dissertation

Methods: qualitative in-depth interviews

How do refugees engage and access informal and formal networks to enhance social supports within their new society? 

To explore my first question, relating to refugee context, I asked questions about the friends, family, and community the women had when they first resettled in the area and who they have today. There were two main types of social support: informal (friends and family) and formal (institutions) that played a large role in their every day lives. The findings of this chapter deepen knowledge of the importance of community for refugees during the initial resettlement period and throughout adjusting to new realities and new expectations.

Project: Dissertation

Methods: qualitative in-depth analysis

How do identities play a role in perceptions of health and health behavior for refugees?  

Identity plays such a critical role for an individual. The final chapter of my dissertation dissects this concept specifically for the refugee women interviewed. My sample of Somali refugee women introduced three critical identities: being Muslim, being Somali, and being refugees. These identities influenced overall perceptions as well as those specifically related to health and health behaviors. The themes analyzed in this chapter illuminate the importance of identity for these women and how they influence decision making surrounding health.

MASTER’S THESIS: quantitative analysis

Master's Thesis

Project: Master’s Thesis ( 2016)

Methods: multilevel logistic regression

Does neighborhood composition impact birth outcomes among native-born and foreign-born Black women differently in the United States?

My master’s thesis explored the question above using 2006-2013 birth certificate data from the state of Ohio combined with 2013 5-year American Community Survey census tract-level data for the three largest cities in Ohio (Columbus, Cincinnati, and Cleveland). I created a variable to divide my sample of Black mothers between foreign- and native- born. Using STATA software and implementing multilevel logistic regression, I found that foreign-born Black women had lower rates of low birth weight compared to their native-born counterparts. Furthermore, I found that residential segregation had negative impacts for both populations (which is consistent with research for native-born Black mothers, but not necessarily for foreign-born Black mothers) and immigrant enclaves were health buffering for foreign-born Black mothers, but not for native-born Black mothers.

As residential segregation (percent Black per tract) increases, the odds of low birth weight increase for both native-born (blue line) and foreign-born (orange line) Black women. The probability is higher for native-born Black women across segregati…

As residential segregation (percent Black per tract) increases, the odds of low birth weight increase for both native-born (blue line) and foreign-born (orange line) Black women. The probability is higher for native-born Black women across segregation measures.

As immigrant concentration (percent foreign-born per tract)increases, the odds of low birth weight decrease for foreign-born Black women (orange line), but the odds stay relatively stable for native-born Black women (blue line).

As immigrant concentration (percent foreign-born per tract)increases, the odds of low birth weight decrease for foreign-born Black women (orange line), but the odds stay relatively stable for native-born Black women (blue line).

RSS CONFERENCE: qualitative analysis

rural sociology

Project: Rural Sociological Society Annual Meeting ( 2015)

Methods: Content analysis of local newspaper + interview

In modern rural America, is the trend of the anti-local government sentiment emerging from a larger dislike of the federal government?

In my first year of graduate school in the Sociology department at Ohio State, I sought out diverse experiences to immerse myself in different perspectives. Through this, I found a course in the Rural Sociology department. The course focused on Rural Poverty, but did so much more than that. The instructor, Professor Linda Lobao, urged us all to dive right into research and with her support, I submitted my first conference paper, which got accepted. I wanted to try my hand in an academic application of my interest with place and chose to conduct a case study of my home town. I was interested in examining the anti-growth sentiments experienced from a vocal minority and their relation to a larger distain for the federal government. I conducted a content analysis of ads published from an anti-growth group in the local penny saver and a key-stakeholder interview with the mayor. My data and analysis showed that the larger disapproval of the federal government was materializing in an anti-local government sentiment. My findings expanded understandings of community change, well-being, and policy in rural spaces.