ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2016
The Guttman errors as a tool for response shift detection at subgroup and item levels.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- Impact of response shift on change in patient-reported outcomes: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Pooled it
- Detection of response shift in health-related quality of life studies: a systematic review.Health and quality of life outcomes · 2022Pooled it
- Assessing early childhood developmental functioning in the parental screening tool: an application of the Rasch model.Frontiers in psychology · 2025Article
- Response shift in parent-reported psychopathology in children with chronic physical illness.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Article
- Evaluation of the link between the Guttman errors and response shift at the individual level.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Non-parametric measurement for patient-reported outcomes.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Scoping review of response shift methods: current reporting practices and recommendations.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018Article
- Identifying patterns of adaptation in breast cancer patients with cancer-related fatigue using response shift analyses at subgroup level.Cancer medicine · 2017Article
- Introduction to special section on response shift at the item level.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeStatistical 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.
methodsThe 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.
resultsDifferent 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.
conclusionsGuttman errors and item response theory models seem to be relevant tools to discriminate individuals affected by RS from the others at the item level.
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