“…The team combined the use of a longitudinal graded response model with a transition item to measure latent change. The method produced tighter estimates of meaningful change when compared to traditional methods, with the methods overlapping most when the proportion of responders was [23] N/A Individual Change over time N/A Griffiths et al [24] Meaningful change Group, Individual Change over time Minimal Ho et al [33] Distribution-based Individual, Group Change over time N/A Jones et al [21] Meaningful change Individual Change over time Not specified Lee et al [32] Both Individual Change over time Minimal Li [18] Distribution-based Individual Change over time N/A Peipert et al [30] Distribution-based Individual Change over time N/A Poon et al [29] Meaningful change Individual Change over time (hypothetical) Minimal Qin et al [27] Meaningful change Individual Change over time Not specified Smit et al [16] Both Individual Change over time Meaningful a Wyrwich & Norman [22] Meaningful change General General General Wyrwich et al [19] Meaningful change Individual Change over time (hypothetical) Meaningful b about 50% of participants. Extensions of this approach show promise for a range of applications [25,26].…”