Table 1.7 shows multiple linear regression results by dental type for the average ‘motivation index’. Variable results that are not statistically significant are in italics in the table.
Table 1.7: Parameter estimates1 for ‘motivation index’ by dental type using multiple linear regression, England, 2019/20
1. Please see Annex E and F of the Methodology for descriptions of parameter estimate and intercept as well as all significance and adjusted R2 values relating to this table.
The positive or negative values of the variable results indicate the relationship between each variable and the average ‘motivation index’. For both sets of dentists an increase in annual leave correlates with an increase in motivation, whereas increases in weekly hours of work or NHS share (%) have the opposite effect and lower motivation.
This type of analysis allows the individual relationships between each measured variable and the ‘motivation index’ to be assessed. For example, the statistical model predicts that if all other working patterns remained unchanged, but dentists switched from all private to entirely NHS work (from 0% to 100% NHS share) the ‘motivation index’ of Providing-Performers would decrease by 23.2 percentage points and by 20.4 for Associate dentists.
The model also predicts that weekly hours of work have a weaker relationship with the ‘motivation index’ of Associates compared to Providing-Performers. However, over a third of Associate dentists work part-time (<35 weekly hours), which is likely to affect the result and when these dentists are removed from the analysis the coefficient score changes from -0.09 to -0.31. The results suggest that choosing to work part-time actively limits the negative relationship between motivation and weekly hours of work, which may be one reason that some dentists make this work-life choice.
Finally, it is important to note that whilst regression analysis provides evidence for the existence of relationships between variables, it does not provide measures of causality. In other words, although there may well be a relationship between, for example, weekly hours of work and motivation, it is not possible to determine if longer working hours demotivate staff or whether demotivated staff tend to work longer hours.