In order to conduct my research of student loan debt and its effect on the student, the research process will be broken up into two stages. The first stage will consist of continuing education and taking courses as well as attending conferences related to debt that will directly aid me in my knowledge of the topic and my ability to conduct the study. The second stage will be the start of the study on the Mason campus with the aid of an advisor and mentor. This involves the creation of the surveys to be used followed by the numerical analysis that will determine correlation
Coursework
I will continue to seek out additional primary resources and data that may be helpful for conducting the research. The closest research to my proposal is the Walsemann …show more content…
The first four weeks of the semester will be spent writing the questionnaire. Our aim is to test whether Student debt is correlated to student performance which will be determined by three factors, student academic success measured by GPA, student involvement measured by time and type of university clubs or organizations, with a follow up after graduation to determine career success. The survey will also contain questions pertaining to demographics and upbringing in order to account for statistical variances in certain people groups with known statistical divergences. The specifics of the survey will need to be discussed with advisers Dr. Flavia Colonna and Dr. Tom Rustici to ensure scientific veracity and adherence to …show more content…
This will involve advertising for focus groups. Emails will be sent out to students inviting them to participate in the survey. The Interdisciplinary Center for Economic Science pays participants for doing experiments, we will similarly use part of the grant money to incentivize students to participate for the short survey with a $5 reward. Students will fill out the questionnaire/survey created about, student involvement, grades, loans, and upbringing. We will run the surveys for four weeks which should give us a significant sample size with which to work. When the surveys have been completed, we will work on entering the data in a database and normalizing the data. Each person and their data represent a single record corresponding to a data point. The loan amount is set as the dependent variable with their answers to the survey as the independent variables. We will need to computationally analyze the dependence of each variable. The tool I will use to achieve this result is MatLab and we need to write the code specific to our data. After data normalization and the setup of the MatLab code, we will test the hypotheses using linear regression modeling, multiple regression modeling, and significance testing. Using these methods, we will be able to determine if loan amount is correlated to grades, involvement, or job outlook. Once we have
Coursework
I will continue to seek out additional primary resources and data that may be helpful for conducting the research. The closest research to my proposal is the Walsemann …show more content…
The first four weeks of the semester will be spent writing the questionnaire. Our aim is to test whether Student debt is correlated to student performance which will be determined by three factors, student academic success measured by GPA, student involvement measured by time and type of university clubs or organizations, with a follow up after graduation to determine career success. The survey will also contain questions pertaining to demographics and upbringing in order to account for statistical variances in certain people groups with known statistical divergences. The specifics of the survey will need to be discussed with advisers Dr. Flavia Colonna and Dr. Tom Rustici to ensure scientific veracity and adherence to …show more content…
This will involve advertising for focus groups. Emails will be sent out to students inviting them to participate in the survey. The Interdisciplinary Center for Economic Science pays participants for doing experiments, we will similarly use part of the grant money to incentivize students to participate for the short survey with a $5 reward. Students will fill out the questionnaire/survey created about, student involvement, grades, loans, and upbringing. We will run the surveys for four weeks which should give us a significant sample size with which to work. When the surveys have been completed, we will work on entering the data in a database and normalizing the data. Each person and their data represent a single record corresponding to a data point. The loan amount is set as the dependent variable with their answers to the survey as the independent variables. We will need to computationally analyze the dependence of each variable. The tool I will use to achieve this result is MatLab and we need to write the code specific to our data. After data normalization and the setup of the MatLab code, we will test the hypotheses using linear regression modeling, multiple regression modeling, and significance testing. Using these methods, we will be able to determine if loan amount is correlated to grades, involvement, or job outlook. Once we have