Predictors of Postsecondary Success: An Analysis of First Year College Remediation Page: 56
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Data for this research study were limited to the specific public high school campuses of
first-year, first semester college students gaining admission into the Central Texas two-year
college during the 2013 fall semester. Additionally, current college students who met the
immediate college enrollment after high school graduation criteria, but who did not graduate
from the state of Texas, or who graduated from a Texas high school other than a public school,
were excluded from this study. Furthermore, analysis showed the majority of students in this
study's cohort graduated from high school campuses located within the general geographical
service area of the college. Because of this, independent variable correlations reported in this
study might vary from other geographic regions of Texas, and therefore might produce different
results within this model. Similar to many other two-year postsecondary colleges, at the time
this study was performed, the Central Texas two-year college had an open enrollment admission
policy that required few student coursework or grade prerequisites. Therefore, this research
study did not take into consideration students who were enrolled into this college's remedial
courses, yet did not gain admission into the college immediately following their graduation from
Regression models were well suited for predicting the value of an outcome variable (Y)
from values of one or more independent variables (X) (L. Cohen et al., 2003), and it was
determined a multiple linear regression model was the best analytic system to run this analysis.
Tabachnick and Fidell (2000) wrote the goal of regression analysis was to arrive at a set of
regression coefficient values for each predictor variable that brought the Y values predicted from
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Baker, Emmett Andrew. Predictors of Postsecondary Success: An Analysis of First Year College Remediation, dissertation, August 2017; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc1011868/m1/64/: accessed April 22, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; .