Reply to Data on where kids go to school

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[quote=Anonymous][quote=Anonymous][quote=Anonymous][quote=Anonymous][quote=Anonymous]Take Garrison for an example. In the SY 19-20 data file, there are 291 kids at Garrison, 125 of them are IB. There are 503 grade-specific kids living in the boundary. So the school is 43% IB and the participation rate is 25% (rounding).  Students in the boundary attend 81 schools, listed are Meridian, Mundo, Marie Reed, LAMB, Seaton, Cleveland, Hyde-Addison, Yu Ying, and Inspired Teaching.

In the 21-22 data, Garrison has 331 kids-- more than 10% enrollment growth in two years, wow! 138 are IB. There are 456 grade-specific kids living in the boundary (big drop!). So the school is 42% IB and the participation rate is 30%.  So to me this spells improvement. Students living in the boundary attend 78 schools, listed are Meridian, Mundo Verde, Marie Reed, LAMB, and Seaton-- that's all.[/quote]

The “improvement” is pure math. The participation rate “increased” 5% because the the number of kids living in bound decrease. Therefore if you reduced the denominator your result will be higher.[/quote]

No it's not "pure math". Garrison has more total IB kids, and that's true *despite* a smaller pool of potential IB students to draw from. It's a small change so could be random, but it's consistent with improvement. It certainly isn't worse.[/quote]

It is math. It isn’t worse, but is not a big deal as you think it is.[/quote]

I mean, how could it not be math? It's a data set containing numbers.

I don't think it's a big deal, but long-term improvements are often built over many years of small but consistent improvements. And it was just an example of how comparing multiple years of this data set could be interesting.[/quote]

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