How to Calculate an SSP With Data Sgp

Data Sgp is an open-source app that enables users to access historical lottery results for Singapore Pools lottery. With this information at their disposal, players can identify trends, patterns and number frequencies which may influence future bets; additionally this knowledge may be used to improve strategy and increase odds of victory.

Information that may not always be readily available and understandable can still prove beneficial to a variety of purposes. One popular application is comparing a lottery number’s performance against its odds for certain outcomes – an analysis known as Statistically Significant Probability calculation (SSP calculation). This article will describe this method and provide examples of what analyses can be conducted using such information.

SGPs are calculated based on a student’s assessment history and do not correspond directly with current MCAS scaled scores. SGPs compare students with similar score histories and assess relative performance; as a result, two students with identical current MCAS scaled scores could have vastly differing SGPs; for example in this example Student B has had less MCAS experience and thus has a lower SGP.

Due to this reason, SGPs are only comparable within one year. Each year SGPs are calculated anew using each student’s current assessment as well as at least one prior test from an earlier testing window that does not necessarily coincide with a district school year. The SGP displayed for 2023 is calculated using MCAS assessments plus up to five years of student data (including Badger year data).

To calculate an individual student’s Student Growth Profile (SGP), certain information will be needed:

As shown above, the first column, sgpData, provides the unique student identifier. Subsequent columns (SS_2013 – 2016), provide each student’s assessment scores from 2013 – 2016. Furthermore, column 5 (sgpData_INSTRUCTOR_NUMBER) lists each instructor associated with that student’s record of assessment.

SGPs are then compared to a state-wide normed distribution, usually centered around 50, which should feature an even distribution with equal amounts of students at each percentile (the diagram to the right shows groupings of 10 deciles).

Districts looking to utilize SGPs for educator evaluation purposes should start by familiarizing themselves with these data tools. While most of their time may be spent preparing data correctly for analyses with SGPs, once done so can be relatively quick and straightforward. For more information about how to prepare data correctly for SGP analyses please review the documentation or reach out if any issues arise in regards to this process. As we work with districts on educator evaluations we will do everything possible to make this process as smooth and simple as possible as we strongly believe SGPs should be seen as learning tools rather than high stakes assessments.