What makes a driver 'High Impact' vs. 'Very High Impact'?
As a quick reminder, drivers are potential causal factors that affect outcome measures such as, but not limited to, overall employee engagement, a sense of belonging as well as perceptions of a great workplace culture. In determining how we differentiate between Low, Medium, High and Very High driver impact, we use the driver's Pearson r correlation tied to the intended outcome measure. Drivers are plotted on the X-Axis and those with less than a .20 Pearson r are considered “Low” impact drivers. Between .20 and less than .40 are “Medium” impact, between .40 and less than .60 are “High”, and .60 and greater are “Very High”. See the table below for additional detail. Minimum Correlation Maximum Correlation Low 0 < 0.2 Medium 0.2 < 0.4 High 0.4 < 0.6 Very High 0.6 1.0 As People Science consultants, we're always leveraging the Driver Impact report to help us understand how different survey measures impact key outcomes across different populations and tying that back to action taking strategies. We'd love to hear from our community...In what ways have you utilized Viva Glint's Driver Impact report to support key findings in your surveys?
