One of the measurements of my intervention was a closing of the gap between the intervention group and the rest of the year. As a school, we have created a model to monitor this gap.
I will briefly explain this model before sharing the results.
We plot a coordinate for each student x coordinate( score on the current test – mean score from year group) and y coordinate ( actual score – predicted score). The predicted score is calculated using linear regression from 1000’s of students who have previously undertaken the test in other year groups, This gives a plot like the one below.
The green dots are SIMD 8 to 10
The amber dots are SIMD 4-7
The red dots are SIMD 1-3
Each Quadrant can be interpreted as follows
We can turn these progress scores into a box plot to see relative progress of different class ( must be interpreted with caution )
The intervention class (my class) are in light blue at the top of the box plot. This indicates from this model they have made the most progress and closed the gaps on others.
This indicated improvement may be due to a variety of factors (most likely the extra time is given to this class) but it shows that the new arithmetical methods being trialled don’t appear to have a negative impact at this stage.
Hi Barry,
Thank you for including the quadrant graphic, really aided my understanding. Again, I think including helpful explanations like this in your poster would be helpful.
It’s really interesting to note the SIMD levels within the graph- were you surprised by any of the findings?
Thanks for having a look. As a cohort it was interesting to note the Matthew effect in action, you can see from the graph most of the green dots are in the upper quadrant, these students scored above average and also made greater progress. The red dots are in the opposite position, hard one to overcome but I’ll keep trying. It was positive to see my small group had made the most progress by this measure.
Hi Barry,
I am enjoying reading your enquiry and it seems to be working a treat.