Data Science Asked by Ethan Thompson on September 13, 2020
I work at a nonprofit youth center that has 2 distinctive programs throughout the year. Our afterschool program runs during the school year, and our summer camp program runs during the summer.
I am working on calculating our student retention between Afterschool 2019-20 and SummerCamp 2020 to see which students we retained, however, Between AS2019-20 and SC2020, we reduced our maximum student capacity by 10. I figure that this definitely impacts the retention rate calculation, but I have no idea how to account for this reduction in capacity. Does this impact anything, or am I overthinking?
I have to assume it would be some sort of calculation like returned students / eligible students = retention
and then maybe dividing that percentage by the quotient of SC2020 capacity / AS2019-20 capacity = proportion
to account for the proportion. Is this correct?
Some of the terms are a little vague, particularly what you refer to as eligible students
and returned students
. I'll set some variables for clarity, but tell me if I defined them incorrectly.
I assume them to mean:
eligible students
$ = A $ being the set of all students in the after-school program 2019-2020
returning students
$ = Acap S $ where $S$ is the set of all of summer camp 2020 students
Now we can define retention rate
to be $frac{|Acap S|}{|A|}$. I base this on the US government definition of university student retention rate, which I think is pretty similar, but please correct me if it's not.
The reasons as to why you might have $|Acap S|<|A|$ are irrelevant.
Let's say you have $|A|=100$ so that, in your situation, $|S|=90$. For simplicity, let's also say that there are no newcomers to the mix.
The retention is, quite literally, how many students you retained. If you retained $90$ students, then the retention rate is $90/100$. Even though $|S|=|A|-10$, the number of students you retained $|Acap S|$ as a percentage of the number of students in the original program $|A|$ is still $90%$.
It wouldn't make sense to normalize this to $100%$.
Correct answer by Benji Albert on September 13, 2020
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