Being a stylized instrument, the model does not produce perfectly accurate predictions.
Then for each tax and benefit instrument, the model constructs corresponding assessment units, ascertains which are eligible for that instrument and determines the amount of benefit or tax liability for each member of the unit.
Adding other instruments to the model did not further improve the prediction.
The predictive capacities of this model are displayed in Table 3.> -wrap-foot> When adding other instruments to the model, only the MMSE had enough predictive power to be included in the regression tree: patients aged over 80 years, without a positive score on the VMS domains were considered positive if they scored ≤23 on the MMSE.
As mentioned earlier, the study was carried out on the basis of the previous research (Authors 2016) with respect to the validation of the research instrument and the model to explain the relationship among the variables.
Even in this case, when we introduced the type of instrument into the model, Cronbach's alpha was no longer a significant predictor.
Our preliminary HGLM analyses indicated that there was no difference in participation between the AS and CI instruments, so to keep our models concise, we did not include variables for instruments in the models we present.
Finally, in an effort to assess the extent of the reverse causality problem that is commonly referred to in the labour market policy literature, the different models were estimated through an IV approach, using the lagged values of the endogenous variables as instruments in the models.
A professional instrument, depending on the model, will have little to no resistance, but will cost you a good bit more.
The discussions with the supervisor (JP) during the development of the instrument's model and following the interviews and focus group for checking final themes and sub-themes of data analysis should have reduced the impact of this.
