Home» Assessment Capabilities » Adaptive Assessment Technology » Standardization and Reliability

Standardization and Performance Comparability is key to credible and useful assessment. Long term Standardization allows the assessment results and its trends to be used over time to link long term outcomes to the results of the initial assessment. This sheer capability of being able to link assessment results to performance of the selected group be it for education, training or job goes a long way in achieving desired benefits.

Standardization maintains the scores of the assessment to be comparable for years making sure that the assessment continues to throw up similar scores for similar ability people over time.

Aspiring Minds’ assessment engine is designed to provide year over year standardization for multiple years making sure learning and feedback from past experience can be translated to improvements in the future.

Aspiring Minds’ proof of delivery lies in demonstrating improving candidate intake year after year and by correctly predicting performance of each incoming candidate.

After an initial correlation in test construction phase, year-after-year AMAF allows various assessment parameters to be correlated with student performance to build regression and prediction models, These models enable fine-tuning the assessment instrument for better filtering and selection of candidates.


Reliability and Validity The best test to measure ability to juggle balls is useless if you want to find the ability of the person to walk on a rope, Validity implies that the instrument measures the precise dimension for which the assessment is being performed. Aspiring Minds’ content planning coupled with several parallel-content balancing techniques maintain test validity despite test form variation. Long-term correlation and prediction studies fine tune test and preserve validity for your intake requirements.

Reliability refers to the ability of the instrument to consistently do correct measurement. In other words, if a candidate gives the test multiple times, he/she should get the same score each time even though he/she may see different questions.

Using multiple large-scale statistical simulation studies, Aspiring Minds technology adjusts test length and uses effective question-delivery algorithm to keep variance under internally defined bounds. The test is robust and gives accurate ability measurement at each delivery instance.