The Intelligence page of Analysis (Insight) is perhaps the single most useful page within Perspective Lite, particularly for school leaders who need to understand their school's data quickly and without pouring over pages of tables of data.
Using significance testing - applied to your school's attainment and absence data - this analysis can uncover strengths, challenges, and insights within your academic landscape. 5 to 10 minutes reviewing this page will give you an overview of your performance data and highlight those areas you may want to dig deeper to investigate. The significance testing is done to determine whether your value for an indicator is a strength, a challenge or within normal bounds. This may include some surprises, whatever the general pattern of the school's outcomes suggest.
Printing & Help
If you're reading this guide, you probably don't need to click about this page, but if you do, you'll find some basic information about the page you are viewing.
We've also included a link to this guide.
If you want to print the page, you can, but consider whether the person you're printing for should have access to Analysis (Insight), or whether you could screenshot the parts you want.
Options
Academic 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 Key Dimensions and compares your schools only to the national cohort. If you select All Dimensions, each indicator will be considered for significance for each of the 3 available dimensions when this is selected. Year-on-year trend will compare results to the previous year's figures while Rank Trend compares the relative ranking against schools nationally and how that has changed. These values are tested for significance.
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 if All Dimensions is selected or 2 ways (Gap to National and Year on Year Trend) when Key Dimensions...
- Gap to National
- Year on Year Trend
- Rank Trend
As we see in the below screenshot when Key Dimensions is selected, absence has 10 possible points of significance, there are 5 absence indicators, and each is tested for 2 dimensions. In this case, all that is revealed is challenges.
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 what 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 eigible 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