The school intelligence page shows you an overview, and detail, of significance testing applied to your school attainment and absence data.
Significance testing is done to determine whether your value for an indicator is a strength, a challenge or within normal bounds.
Printing & Help
Options
Ac. Year...
You can choose the academic year you want to look at, there will be a maximum of 3 academic years at any given time.
Dimension...
The default dimension is All Dimensions; each indicator will be considered for significance for each of the 3 available dimensions when this is selected.
Select Gap to National if you are only concerned with how the school has performed against the national cohort.
School Summary
The top of this page shows a summary of the significance testing performed on your school.
You are tested for significance in 3 ways...
- Gap to National
- Year-on-Year Trend
- Rank Trend
As we see in the screenshot below, absence has 12 possible points of significance, there are 4 absence indicators, and each is tested for 3 dimensions.
Areas
Click on an area in the overview section to jump to the corresponding area on the page.
Strengths and challenges show in 2 columns, each indicator is tested for significance and the result will be displayed.
The school in the example below is significant because their RWM expected standard has increased from 51.9% in 2017/18 to 59.9% in 2018/19.
If you're done scrolling and want to get back to the top of the page, use the icon in the bottom right of your screen.
Significance Testing Methodology
Significance testing is done to determine whether a school's value for an indicator is a strength, a challenge or within normal bounds.
Significance testing for KS2 progress is done at pupil level, all other indicators are school level.
School-level 5-sigma Confidence Interval Significance Test
NatStdDev = The national standard deviation of school-level indicator values.
NatAvg = The national average of school-level indicator values.
Coh = The number of eigible pupils in the focus domain (e.g. school).
CI = The 5-sigma confidence interval for the indicator of the focus domain.
Val = The indicator value of the focus domain being tested.
CI = 5 * (NatStdDev / SQRT(Coh))
Sig+ if Val - CI > NatAvg
Sig- if Val + CI < NatAvg
...else, not significant
Pupil-level 95% Confidence Interval Significance Test
NatStdDev = The national standard deviation of pupil-level indicator values.
NatAvg = The national average of pupil-level indicator values.
Coh = The number of eligible pupils in the focus domain (e.g. school).
CI = The 95% confidence interval for the indicator of the focus domain.
Val = The indicator value of the focus domain being tested.
CI = 1.96 * (NatStdDev / SQRT(Coh))
Sig+ if Val - CI > NatAvg
Sig- if Val + CI < NatAvg
...else, not significant
KS1 to KS2 Progress Quintile methodology
KS1 to KS2 progress results are banded into quintiles. The methodology for these quintiles is shown below and applies to reading, writing and to maths.
Quintiles are based on percentile rankings and are calculated at the LA level and the school level (depending on the user's selected scope in Insight).
Percentile rankings range from 1 - 100, where 1 represents the highest achieving LA or schools.
Mapping percentiles to quintiles.
Quintiles are created by grouping percentile rankings into five equal bands of 20% each. This approach is applied directly to the existing percentile rankings as used in Insight.
The mapping is as follows:
- 0-20% = Quintile 1 (top 20%)
- 21-40% = Quintile 2
- 41-60% = Quintile 3
- 61-80% = Quintile 4
- 81-100% = Quintile 5 (bottom 20%)
For example, a school or pupil group with a percentile ranking of 47 would fall into Quintile 3.