An article was posted online recently at Marketplace.org that refers to this book. See link below
Some important findings from this article:
- Emory uses a statistical model to predict which students will matriculate vs those who don’t
- Tentative admits are put through an additional round of cuts to align with intended targets
- Although students are not admitted by major, there is clear whittling of students for majors in high demand. The natural sciences major is pointed out specifically in the article. Students are definitely weighed against each other within prospective majors.
- Tags for legacy, employee child and others also play a big role in the cutting rounds.
It would be interesting to know more about what goes into the predictive statistical model. Especially any factors within the student control (like demonstrated interest, timing of application, etc). Also interested to see how financial need impacts their model.