Skip to main content


Swipe om te navigeren naar een ander artikel

01-06-2016 | Special Section: Response Shift Effects at Item Level (by invitation only) | Uitgave 6/2016

Quality of Life Research 6/2016

The Guttman errors as a tool for response shift detection at subgroup and item levels

Quality of Life Research > Uitgave 6/2016
Myriam Blanchin, Véronique Sébille, Alice Guilleux, Jean-Benoit Hardouin



Statistical methods for identifying response shift (RS) at the individual level could be of great practical value in interpreting change in PRO data. Guttman errors (GE) may help to identify discrepancies in respondent’s answers to items compared to an expected response pattern and to identify subgroups of patients that are more likely to present response shift. This study explores the benefits of using a GE-based method for RS detection at the subgroup and item levels.


The analysis was performed on the SatisQoL study. The number of GE was determined for each individual at each time of measurement (at baseline T0 and 6 months after discharge M6). Individuals showing discrepancies (with many GE) were suspected to interpret the items differently from the majority of the sample. Patients having a large number of GE at M6 only and not at T0 were assumed to present RS. Patients having a small number of GE at T0 and M6 were assumed to present no RS. The RespOnse Shift ALgorithm in Item response theory (ROSALI) was then applied on the whole sample and on both groups.


Different types of RS (non-uniform recalibration, reprioritization) were more prevalent in the group composed of patients assumed to present RS based on GE. On the opposite, no RS was detected on patients having few GE.


Guttman errors and item response theory models seem to be relevant tools to discriminate individuals affected by RS from the others at the item level.

Log in om toegang te krijgen

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Podotherapeut Totaal

Binnen de bundel kunt u gebruik maken van boeken, tijdschriften, e-learnings, web-tv's en uitlegvideo's. BSL Podotherapeut Totaal is overal toegankelijk; via uw PC, tablet of smartphone.

Over dit artikel

Andere artikelen Uitgave 6/2016

Quality of Life Research 6/2016 Naar de uitgave