Highlights
This chart reranks the 135 schools in the Boston Magazine 2011 Best Schools issue according to my own streamlined Quantitative Score, which is the sum of all listed MCAS scores (dropping the single worst score and keeping the remaining 8), the 3 SAT parts (divided by 3 to weight them higher than the MCAS tests), and the graduation rate (multiplied by 2 to put it into the same weightrange as the SAT parts). Several other factors like perpupil spending, studentsperteacher, AP classes, etc., which are listed in the magazine and presumably included in their score somehow, are not included in this one.
In the chart below you can see both the ranking and the components of the score. Note the little notch at Wellesley, where the 8th grade science curriculum doesn't match the MCAS coverage, and thus produces one anomalous MCAS score that my method discounts.


Here's a direct comparison between Boston Magazine's assigned "Rank" and my calculated "Quant Rank". "Quant ∆" is a measure of the difference between the two. Schools with significant differences are highlit in blue, or you can click the arrow next to "Quant ∆" to resort the entire table by this difference.

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Here are my two simple singlefactor quantscore predictions based on nothing but lunchsubsidy percentages. The blue line are actual quant scores, the green line is the result of a linear regression (qs = 7.8 ls + 1415, r = .9!), and the red line is the result of a linear regression using the square roots of the lunchsubsidy percentages (qs = 80 sqrt ls + 1581). Both equations underestimate the achievements of the top schools, and the second one suggests that Littleton ought to pay for more lunches, but these are frighteningly precise correlations between technically independent variables.


thread:
Category:Public District.School^Quant Score._Count(.nodes:#<=400:#<=20(.MCAS 5 English._Chart),(.MCAS 5 Math._Chart),(.MCAS 5 Science._Chart),(.MCAS 8 English._Chart),(.MCAS 8 Math._Chart),(.MCAS 8 Science._Chart),(.MCAS 10 English._Chart),(.MCAS 10 Math._Chart),(.MCAS 10 Science._Chart),(.SAT R._Chart),(.SAT W._Chart),(.SAT M._Chart),(.Grad Rate._Chart))
Category:Public District.School^(.(.MCAS 5 English,MCAS 5 Science,MCAS 5 Math,MCAS 8 English,MCAS 8 Science,MCAS 8 Math,MCAS 10 English,MCAS 10 Science,MCAS 10 Math^:##>1),SAT R,SAT W,SAT M,Grad Rate._Sum:(.nodes:#6)._Round)._Count(..nodes:#<=1000:#<=20Rank,Quant Rank,[Quant ∆],Quant Score,SAT Total,SAT Dev,MCAS Comp,MCAS Dev,Graduation Rate(.[Quant ∆]._Identifiers:>=[.3])),(..nodes.nodes._Count)
Category:Public District.School^Quant Score._Count(.nodes:#<=400(.Quant Score._Chart),(.Quant Prediction._Chart),(.Quant Prediction 2._Chart))
["Data Sources"]Boston Magazine Best Schools 2011=(Link:bostonmagazine),PerCapita Town Incomes=(Link:capita),[Populations and Unemployment (mass.gov)]=(Link:[goo.gl]),District Student Demographics=(Link:profiles),2010 Election Results=(Link:senate),Data Scrutiny and Analysis=("glenn mcdonald")._Count(..nodes:#<=100Boston Magazine Best Schools 2011,[PerCapita Town Incomes],[Populations and Unemployment (mass.gov)],District Student Demographics,2010 Election Results,Data Scrutiny and Analysis),(..nodes.nodes._Count)
query info
