highly significantp values <.001
However, scaling indices derived from the DFA analysis of the X ( t ) time series were all highly significant (all p values <.001; see Table 4 ).
However, scaling indices derived from the DFA analysis of the X ( t ) time series were all highly significant (all p values <.001; see Table 4 ).
On the other hand, using DFA to process the corresponding X ( t ), time series shows a clear trend; participants with higher values of the scaling index have lower errors of commission (Figure 8 ). 4.