Waar gaat deze meeting over?
Regression analyses are essential in analyses regarding pay transparency. To meet our membership request on providing more clarity on this topic, we are very pleased to have Henrike von Platen sharing her insights and expertise on the topic.
In this meeting we will zoom in on the WHY and WHAT of regression analyses specific to EU PTD Pay Transparency & Fair Pay.
For the HOW, zooming in on more complex technicalities, models and how to, we will plan further meetings. This meeting will address some basics in that aspect, setting the scene for more to follow.
Presentatie:
Stream:
Key take-aways:
In this session, participants explored how regression analysis can be used not just as a statistical tool, but as a mirror of company values. Henrike von Platen emphasized the importance of aligning pay structures with what organizations claim to value—such as experience, education, and leadership. The Fair Pay Matrix and Universal Fair Pay Check® certification were central to the discussion, along with challenges around data quality and the limitations of performance ratings.
- Regression reflects company culture: The variables chosen for analysis must align with what the company values and communicates to employees.
- Fair Pay Matrix is a practical starting point: It helps define relevant variables and connects them to global standards like the UN SDGs.
- Performance ratings often lack impact: Many companies find that performance ratings have little effect on pay, prompting a reevaluation of their use.
- Data quality remains a challenge: Gaps in data—especially around experience, qualifications, and demographics—limit the effectiveness of regression.
(This message is AI generated by Copilot and based on information relevant to this meeting)
Doelgroep
HR and Reward professionals interested in Pay Transparency
