Poverty does not matter to success? Presentation
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The title conveys the intended point of the graph – that if you look hard enough across New Jersey – you can find not only some, but MANY higher poverty schools that perform better than lower poverty schools.
The title conveys the intended point of the graph – that if you look hard enough across New Jersey – you can find not only some, but MANY higher poverty schools that perform better than lower poverty schools.This is a bizarre graph to say the least. It’s set up as a scatter plot of proficiency rates with respect to free/reduced lunch rates, but then it only includes those schools/dots that fall in these otherwise unlikely positions. At least put the others there faintly in the background, so we can see where these fit into the overall pattern. The suggestion here is that there is not pattern.
The title conveys the intended point of the graph – that if you look hard enough across New Jersey – you can find not only some, but MANY higher poverty schools that perform better than lower poverty schools.This is a bizarre graph to say the least. It’s set up as a scatter plot of proficiency rates with respect to free/reduced lunch rates, but then it only includes those schools/dots that fall in these otherwise unlikely positions. At least put the others there faintly in the background, so we can see where these fit into the overall pattern. The suggestion here is that there is not pattern.The apparent inference here? Either poverty itself really isn’t that important a factor in determining student success rates on state assessments, or, alternatively, free and reduced lunch simply isn’t a very good measure of poverty even if poverty is a good predictor. Either way, something’s clearly amiss if we have so many higher poverty schools outperforming lower poverty ones. In fact, the only dots included in the graph are high poverty districts outperforming lower poverty ones. There can’t be much of a pattern between these two variables at all, can there? If anything, the trendline must be sloped up hill? (that is, higher poverty leads to higher outcomes!)
The title conveys the intended point of the graph – that if you look hard enough across New Jersey – you can find not only some, but MANY higher poverty schools that perform better than lower poverty schools.This is a bizarre graph to say the least. It’s set up as a scatter plot of proficiency rates with respect to free/reduced lunch rates, but then it only includes those schools/dots that fall in these otherwise unlikely positions. At least put the others there faintly in the background, so we can see where these fit into the overall pattern. The suggestion here is that there is not pattern.The apparent inference here? Either poverty itself really isn’t that important a factor in determining student success rates on state assessments, or, alternatively, free and reduced lunch simply isn’t a very good measure of poverty even if poverty is a good predictor. Either way, something’s clearly amiss if we have so many higher poverty schools outperforming lower poverty ones. In fact, the only dots included in the graph are high poverty districts outperforming lower poverty ones. There can’t be much of a pattern between these two variables at all, can there? If anything, the trendline must be sloped up hill? (that is, higher poverty leads to higher outcomes!)Note that the graph doesn’t even tell us which or how many dots/schools are in each group and/or what percent of all schools these represent. Are they the norm? or the outliers?
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