A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Using binary logistic regression to analyze the predictive validity of undergraduate GPA and standardized test scores in forecasting master's student degree completion
2021
Wedged between undergraduate and doctoral students exists the oft-understudied population of master's students. The dearth in master's-specific research is astounding considering master's degrees are the fastest growing degree credential. Why is there such a lack of information about master's students from a national perspective in comparison to other degree-seeking students? Perhaps it is because assessment, like Integrated Postsecondary Education Data System (IPEDS), and prestige, like U.S.
doi:10.7282/t3-fafc-ae06
fatcat:aqxn23z2fzgojklpuok227l5iy