Imagine, you have been using one of questionbang apps for several weeks, and also mock-set-plus. You want to have a consolidated performance report card, e.g., comparison of your best weekly score and best mock-set-plus score, or your overall performance compared with other users. An overall result analysis does just that. It is about summing up of your performance from apps and mock-set-plus.
The table below depicts combination of weekly apps, mock-set-plus and overall result analysis.
|Weekly apps||mock-set-plus||Overall result analysis|
As you can see, a bank preparatory app offers weekly quizzes, while mock-set-plus offers mock exams for various bank recruitments. An overall result analysis of bank exams would combine best of results from bank preparatory app and mock-set-plus.
Background – Weekly result analysis, Cumulative performance report
If you have been using any of our apps (NEET weekly, JEE 360, CET Social or Bank Preparatory), you may be already familiar with weekly result analysis. The result analysis here is a collection of features to watch your performance – rank (relative performance), score share and scoring trends (cumulative performance).
However, we have a different kind of reporting in mock-set-plus. This is called cumulative performance report, and you can find this through dashboard. Also, there is something called net score (or strike rate), I’m sure those who take multiple mock exams will be watching this closely.
We have many app users that eventually start using mock-set-plus, but app results and mock-set-plus results were never clubbed before. There was no way a user can relate weekly quiz performance and mock exam performance.
Overall result analysis, a recent feature addition to mock-set-plus, is meant to address above shorting comings.
What is Overall result analysis?
Users of questionbang apps or mock-set-plus or both, can get a combined performance report through overall result analysis. Put simply, an overall result analysis is a highlight of your weekly quiz and full length mock exam results.
You can access overall result analysis feature through mock-set-plus “Result Analysis” menu. As of now the overall result analysis feature is not available in apps.
Please be sure to visit mock-set-plus even if you have been using apps only!
Why Overall result analysis?
In your regular class room study, you normally take weekly or monthly tests, and few preparatory exams before a final exam. Your final score (year or semester) would normally a mix of some percentage from internal assessment (mini tests) and final exam (full length exam).
The questionbang as an assessment companion, follows similar approach – weekly quizzes from apps are akin to your mini class tests, mock-set-plus exams are your preparatory. However, we do not have all the app users ending-up using mock-set-plus; also, there are many mock-set-plus users who never try our apps. Hence, the overall result analysis considers only best of scores – from app or mock-set-plus; or from app and mock-set-plus when you have attempted both.
Note that, an overall result analysis also reports final performance – poor, average or good. This again does not use aggregate of weekly results or net score of mock-set-plus. The assessment such as poor, average or good is based on best of your scores. A user can supersede bad scores by performing better through subsequent weekly quizzes or mock exams. In short, overall result analysis is about positivity, to encourage better study.
Understanding Overall result analysis
The table below shows scores for four weeks.
|December 03||December 10||December 17||December 23|
The maximum of above scores would be 55% (198/360).
Let us assume the above user also attempted two mock-set-plus papers.
Below is a table showing summary of mock-set-plus scores.
|JEE – Getting started. Model questions to introduce JEE topics & pattern ~001||JEE Mains 2018, Touch-up~1 ~052|
|Score||27/60 (45%)||114/360 (31%)|
The maximum score here is 45% (27/60) or 162/360
Let’s identify above scores in overall result analysis.
From the earlier example, highest app and mock-set-plus scores are as shown below
|Below 50%||Poor or unlikely|
|50% to 70%||Average or potential|
|Above 70%||Good or likely|
In the above example, 55% (app score of 198/360) is highest score of user in JEE category. The performance of this user will be rated as average (50% to 70% range).
You can find an complete documentation about result analysis (weekly & overall) from this link.