The Validity Revolution
- Dr Austin Tay
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- Feb 3
- 1 min read

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Most organisations are still using 1998 data to make million-dollar hiring decisions.
Here's what changed: Schmidt & Hunter's classic meta-analysis shaped talent acquisition for 25 years.
But Sackett et al.'s 2022 update reveals the landscape has shifted dramatically.
The top three predictors remain strong, but several "tried and true" methods dropped 10-20% in validity. Why? Technology changed how we assess. Remote work changed what we measure. And algorithmic tools introduced new sources of bias.
For practice leaders: Your assessment strategy needs an evidence refresh. The tools that worked in 2000 aren't optimised for 2026.
What selection methods are you reconsidering based on new evidence?







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