The tests have several sections (e.g. reading, math, science, etc.) and they do not provide raw scores. Instead they provide the percentage of students scoring in one of 4 groups:
- Minimal performance
- Basic
- Proficient
- Advanced
Math | ||
Minimal performance | 7% | |
Basic | 23% | |
Proficient | 40% | |
Advanced | 30% |
Assumptions
In order to make any sense of this mass of data, I had to make a bunch of assumptions and selections of the data that I considered important to me and people like me (including my friends who had the original question).
Assumption 1: The percent of students scoring in the Advanced score range represents the quality of a school.
First, just like in Lake Wobegone, everyone assumes their kids are above average and I’m no exception. I assume that my kids have the ability to be in the Advanced score range. The more kids a school has in the Advanced score range, the more likely my kids will be able to be in that range.
Second, this seems like a reasonable proxy for educational quality. If one school has 5% of its students scoring in the Advanced range and another has 35% in the Advanced range, which one do you think is better?
Assumption 2: The average of percentages of students scoring in the Advanced range over all tests for a particular grade represents the overall quality of a school.
Since there are 4-7 tests taken, I had to combine them somehow into one number. I chose to average across all the tests at a particular school the percent of students scoring in the Advanced score range.
One problem is obviously that a school could have a fantastic Math score and a dismal English score resulting in a reasonably good average. A second problem is that a statistician might have a problem with this averaging strategy – comments welcome if you’re a stats whiz.
I think, however, this reasonably combines the scores to obtain a single number for one school.
Assumption 3: We’re all white. NOTE FOR THE 2007 and later data, I used non-economically disadvantaged students rather than white.
I only collected and compared scores of white/Caucasian students. I did this for two reasons.
First, I was specifically concerned with my kids’ opportunities not yours. If you’re non-white, I’m sorry, you can try to figure this out yourself for your own demographic and you probably should. If they had more specific demographics that relate to educational performance, I would have used that as well (e.g. parents educational level, etc.) but they only provide race and gender. My reasoning is that if a school is good for my kids’ particular demographic then it’s good for their education.
My guess is that in this data set, race is actually a proxy for economic class which, I think, is probably a better predictor for academic achievement. So my guess is that these results apply to all races having a similar economic status to the average white Madisonian.
Second, I had a feeling that the well-known and unfortunate “achievement gap” between whites and minorities causes the statistics to be not comparable between schools with varying minority populations.
Clearly the achievement gap is a problem in schools with significant minority populations and needs to be addressed. I’m just not analyzing or addressing it here.