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Using Logit And Linear Regression Essay

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Using Logit and Linear regression, we attempted to understand factors that influence students to leave their college or University, their average GPA, and graduating in four years. We tailor our study to first-generation students, in relation to PoC students. Because much of the differences in college success have been linked to social class and economic background we have controlled for family income, as well as race, level of cultural capital and student’s use of university services. Our analysis of the dependent variables for student success; students decision to leave, average GPA and four year graduation, reveal that first-generation status is a significant factor in all three. Other variables frequently emphasized in education literature on student success and first-generation status, such as cultural capital and peer support had less of an impact than indicated in previous research. We analyze each dependent variable separately for independent variables in Wave 2, Wave 3, and Wave 4. And then look for relational differences in the impact of independent variables both between dependent variables and over different waves of the study. We present findings in which the relationship our dependent variables to independent variables are significant to the 0.5 level of confidence. Independent variables in our study had different effects on our dependent variables, with some positive correlations and some negative. Finding presented below start with those affecting students

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