Literature Research on SES

One of the main things I will be looking at to study is socioeconomic status, or SES. This variable is a very changing and indefinite one as there are many different ways to determine what exactly a student’s SES is depending on a variety of factors including their family, neighborhood, parental education, etc. I am not aware of how much information at the moment is used to determine the student’s SES in the current study until I can do the analysis of the different variables. However, how much information available may have an effect on how accurate the resulting information is. Previous literature has questioned whether SES has an impact on students’ academic achievement and the results have varied. It appears how SES is defined may impact whether or not claims like these are significant. I hope in doing more research I can be more informed as to what variables to use or avoid to make the SES data more cohesive and able to give a more accurate result with regards to the current research I am doing. My research is not necessarily looking at academic achievement, but rather attitudes about attaining higher education. However past studies explaining the issues with defining SES and how it can impact data results is important information to use later.

Possible College Attendance and Socioeconomic Status

Since I have been participating in Professor Raposa’s Lab, I have been part of numerous studies and I have been helping out with the different studies that she has currently going. The main one I have been working on currently is the College Mentor study and I have switched my interest more into this study. After working on this for a while, it has sparked my interest for my own independent research and analysis of the information and data that we are collecting. The study is essentially looking at how a College Mentor can impact mainly at risk children and focuses on children who are mainly in elementary school. For the past few weeks I have been involved in data collection and data entry for this task and there is some information that seems to have seemed important to me. The information is taken from surveys given to the children and their mentors. From that, I have seen a kind of trend in specific questions about future college attendance for the children and how they feel about possibly attending college in the future. One specific thing of not is that many students wrote in notes saying things such as “if I had the money” or “I do not have the money” about their feelings towards college. For an independent study, I think I would like to look deeper into this and how socioeconomic status affects children’s perceptions of college and future college attendance. I will be focusing more on the information gathered from the study to provide data, but I am planning on doing a search for more literature that talks about this or explains more about this. Also, I possibly would like to see if the presence of a Mentor affects the child’s decision about wanting to attend college in the future.

Risk and Resilience in College Students

Eligible participants will be chosen from the William and Mary campus as undergraduate students. Data will be collected through a series of questionnaires starting with a baseline session. The baseline questions asked should focus on family background and demographic information as well as behavioral information, beliefs, and opinions. Aspects about current and past mental health and physical health are also important to note in measuring risk over time and will also be asked in questionnaires. Follow-up studies should be conducted with the same participants. Qualitative studies will be assigned to specific participants who qualify. This includes more in depth interviews and questions about personal experiences and relationships. Other specific factors that will be measured are social support, help seeing behavior, college preparation, GPA, academic functioning and other variable aspects of the participants life that may be relevant at this time. This information will have to be analyzed using a series of models to show how the intersection of different factors affect each other. The analysis of further qualitative results should be used in conjunction with the quantitative analysis interpretation and to discuss common issues and phenomena that may be hard to quantify.

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