We're back with the second edition of PSI's new Certification Expert Series. In this post, Rory McCorkle, PhD, our SVP of Certification, discusses PSI's advances in data forensics to improve the security of the exam process.
There’s much conversation in the testing industry about big data, data management, data forensics, and everything that we can glean from the massive data that we, as credentialing organizations and testing providers, hold. There’s a lot that we should continue to examine in that area, particularly candidate experience and ensuring that we’re providing the best experience to everyone that comes through a certification program or takes any other assessment. But when it comes to data forensics and everything that we are trying to do in that area, it really all comes down to identifying, and ultimately, preventing candidate misconduct.
Watch our latest Expert Series video to hear about PSI's multi-faceted approach to data forensics.
Preventing exam misconduct in occupational and educational settings is crucial. But, in the event of failure to prevent it, detecting its presence and impact on scores through forensic data analysis is equally important. We recently did a study to evaluate the use of a suite of statistical data for differentiating two patterns of cheating on multiple-choice tests: a pattern indicative of the presence of cheating and a pattern indicative of cheating that impacts test scores. You can download the free, full study here: