Data processing and analysis

• Attainment  : analysis of individual data for each participant

A measure of a child's achievement in school which compares every child to a standardized expectation for their age level, regardless of individual starting points.

The Data Centre calculates :

• average for each student in all subjects

• overall average (>60%, >50% and <50%)

• boys' overall average (>60%, >50% and <50%)

• girls' overall average (>60%, >50% and <50%)

• SEND overall average (>60%, >50% and <50%)

• different groups overall average (>60%, >50% and <50%)

• average for new students (>60%, >50% and <50%)

• overall average by grade (>60%, >50% and <50%)

• overall average by grade and gender (>60%, >50% and <50%) etc.

• Progress  : cohort and student

By cohort:

To assess the progress of a cohort, we analyse and compare the results of the cohort at the end of the school year (attainment N) with the results of the same cohort the previous year (attainment N-1).

We therefore analyse the starting level and the current level. The evolution (positive or negative) takes into account the % of students above 50 (>50%) as well as the % of students above 60 (>60%).

Student progress:

Our framework does not evaluate a student as making acceptable, good or better progress. Instead, it refers to a student making expected/better than expected/less than expected progress. 

The framework then asks us to look at the proportions of a cohort of students who make expected/better than expected progress, to arrive at a judgment of acceptable, good or better (e.g. if 51% of students in a grade make better than expected progress, that grade has made good progress). 

Our judgements :