What is the value for a school district to have all of its student performance data in one database?
The answer is quick and accurate multi-year analytics. After the initial report is created, each year is uploaded and populates all of the reports.
Here is an example from a school district, that is looking forward to this year’s Beginning of Grade 3 test (BOG) data and making comparisons to other test data. Using a brief SQL statement the mean scores and standard deviations can be computed and reported for each school for each year in the APEX data system.
Then the distribution of scores in the form of a histogram for each of the years can be viewed. Using a simple drop-down filter, the year and the individual school can be overlaid and viewed .
The question is then what is the relationship between the BOG scores and the i_Ready reading scores when both are converted to Normal Curve Equivalent (NCE) scores? Here is the sample SQL code for that report:
BOG.SCH_CODE as SCH_CODE,
round(CORR(BOG.BOG_NCE, I_READY_RD.IR_RD_NCE), 3)
from I_READY_RD I_READY_RD, BOG BOG
where I_READY_RD.SID=BOG.SID and BOG.YEAR = 2020
and I_READY_RD.TEST_DATE = ‘BOY’
group by BOG.SCH_CODE
order by BOG.SCH_CODE
The next question is: What does this data look like as a scatter plot. In the scatter plot, an entire district can be shown for a testing year or the scatter plot can be made to show one school, and then the other data color will show al of the remaining schools. In conclusion, when a district has the BOG and I_Ready (or I_Station) data for this year, it will be better able to understand the significance of the information and perhaps understand the impact on being out of school for months has had on its students.