Is your department Collectively Intelligent

Is your department Collectively Intelligent?

Collective intelligence enables teams to make better decisions together than individuals alone. It promotes innovation, flexibility, and problem-solving ability. Organizations that harness it remain agile and consistently perform better in

Someone who broods is not stress resistant

Someone who worries is not stress-resistant?

We regularly get the question: Is this candidate stress-resistant? The client then defines stress-resistance as staying relaxed under pressure. Always useful, right? Pilots and stress In the past, I have

selection bias

8 tips to avoid bias in selection

Bias in selection is something you want to avoid. Or the other way around: how do you set up as fair a selection process as possible? Fairness in the selection

Does top talent pass you by

Does top talent pass you by?

Recruitment organizations cannot sit back and choose the best from an ample supply. No way! More than ever, they need to actively market to entice candidates. How do you build

Can you select by integrity

Can you select for integrity?

Integrity damage can be caused by anyone in any organization. But there is good news: solutions exist to reduce integrity damage. That’s what this blog is about.

Candidate experience and good selection

Candidate experience and good selection

In a time of labor market scarcity, the candidate experience is of great importance, right? All barriers a candidate encounters on his/her journey should be removed, right? Or do we

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Evidence-based Selection Methods.

This fact sheet provides an overview of the most commonly used (psychological) selection methods, both classical and modern. The figures are based on meta-analyses and dominant scientific literature.

Method Predictive validity (r) Typical reliability
Cognitive ability (GMA test) .51 High (.85-.95)
Work test .54 High
(inter-rater ≥.70)
Structured interview .51 Medium-high (.60-.75)
Unstructured interview .18-.38 Low-medium (.40-.55)
Integrity test .41 High (α ≥.80)
Conscientiousness (Big Five) .31 Medium-high (α ~.75-.85)
Job knowledge test .48 High (≥.80)
Years of service .18 Not applicable
Video/asynchronous interview (incl. AI) .30-.40 Good at structuring; algorithmically variable
Machine learning / algorithmic models .20-.50 Depends on dataset; generalizability limited
Serious games / game-based work samples .35-.50 High on objective metrics
Social media screening .00-.20 Low and variable

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