The Oort structural equation modeling approach detected a response shift after a COPD self-management program not detected by the Schmitt technique

Assessment of response shift using two structural equation modeling techniques

“…In addition, the difference in order (forward vs. backward approach) of releasing parameter constraints with the two SEM procedures may influence the results. The backward approach of releasing parameter constraints using the Oort procedure [11] provides a “greater power for detecting changes” [12], however, increases the Type I error probability.…”

Overall performance of Oort’s procedure for response shift detection at item level: a pilot simulation study

“…Therefore, when uniform recalibration was simulated on binary items, it seems plausible that non-uniform recalibration might have been simulated too. Nonetheless, another explanation to the aforementioned phenomenon can reflect the issue regarding the need to introduce, or not, at step 3 of the procedure, a hierarchy in testing for different forms of RS [28,29]. In this study, a hierarchy proposed in two previous studies was followed [28,29], which consists in testing non-uniform recalibration first, followed by uniform recalibration and finally reprioritization.…”

Response shift in patients with multiple sclerosis: an application of three statistical techniques

“…Other research has demonstrated that adjusting for response shift can even reverse putative null or deleterious findings [19]. Methodological work in the response shift arena has also burgeoned in the past decade, as evidenced by the development and application of methodological and statistical operationalizations [2,[37][38][39][40][41][42]. This kind of development is critical for identifying approaches that will provide unbiased estimates of longitudinal changes in patient-reported outcomes.…”