Hi All,
The DTF function is fantastic to quantify the effect size of the DTF between subgroups (Chalmers, Counsell, & Flora, 2015). Although the sDTF is easy to evaluate in terms of significance, how do we evaluate the size of the effect, especially for uDTF. As the method is new, I imagine the technique needs to be implemented for a while to determine appropriate qualitative labels. At the present point in time, do we know what sDTF and uDTF values would be considered small, medium, large etc? To that end, how to we interpret the output in terms of combining to conclusions about the DTF present? I have included come examples below from DTF():
> DTF.Gender <- multipleGroup(data[,c(3:8)], model = 1, group = gender, verbose = FALSE)
$observed
sDTF.score sDTF(%).score uDTF.score uDTF(%).score
6.205398 11.491478 6.205398 11.491478
$CIs
sDTF.score sDTF(%).score uDTF.score uDTF(%).score
CI_97.5 6.759205 12.51705 6.759205 12.51705
CI_2.5 5.672016 10.50373 5.672016 10.50373
$tests
P(sDTF.score = 0)
1.544532e-89
> DTF.Politics <- multipleGroup(data[,c(3:8)], model = 1, group = politics)
$observed
sDTF.score sDTF(%).score uDTF.score uDTF(%).score
2.537339 4.698776 2.537339 4.698776
$CIs
sDTF.score sDTF(%).score uDTF.score uDTF(%).score
CI_97.5 2.934905 5.435010 2.934906 5.435012
CI_2.5 2.153802 3.988522 2.153802 3.988522
$tests
P(sDTF.score = 0)
2.050715e-34
Kind Regards,
Conal Monaghan