caa a22 4500 606179208 CHVBK 20210128100800.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s11136-014-0746-0 doi (NATIONALLICENCE)springer-10.1007/s11136-014-0746-0 Method variation in the impact of missing data on response shift detection [Elektronische Daten] [Carolyn Schwartz, Tolulope Sajobi, Mathilde Verdam, Veronique Sebille, Lisa Lix, Alice Guilleux, Mirjam Sprangers] Purpose: Missing data due to attrition or item non-response can result in biased estimates and loss of power in longitudinal quality-of-life (QOL) research. The impact of missing data on response shift (RS) detection is relatively unknown. This overview article synthesizes the findings of three methods tested in this special section regarding the impact of missing data patterns on RS detection in incomplete longitudinal data. Methods: The RS detection methods investigated include: (1) Relative importance analysis to detect reprioritization RS in stroke caregivers; (2) Oort's structural equation modeling (SEM) to detect recalibration, reprioritization, and reconceptualization RS in cancer patients; and (3) Rasch-based item-response theory-based (IRT) models as compared to SEM models to detect recalibration and reprioritization RS in hospitalized chronic disease patients. Each method dealt with missing data differently, either with imputation (1), attrition-based multi-group analysis (2), or probabilistic analysis that is robust to missingness due to the specific objectivity property (3). Results: Relative importance analyses were sensitive to the type and amount of missing data and imputation method, with multiple imputation showing the largest RS effects. The attrition-based multi-group SEM revealed differential effects of both the changes in health-related QOL and the occurrence of response shift by attrition stratum, and enabled a more complete interpretation of findings. The IRT RS algorithm found evidence of small recalibration and reprioritization effects in General Health, whereas SEM mostly evidenced small recalibration effects. These differences may be due to differences between the two methods in handling of missing data. Conclusions: Missing data imputation techniques result in different conclusions about the presence of reprioritization RS using the relative importance method, while the attrition-based SEM approach highlighted different recalibration and reprioritization RS effects by attrition group. The IRT analyses detected more recalibration and reprioritization RS effects than SEM, presumably due to IRT's robustness to missing data. Future research should apply simulation techniques in order to make conclusive statements about the impacts of missing data according to the type and amount of RS. Springer International Publishing Switzerland, 2014 Response shift nationallicence Missing data nationallicence Quality of life nationallicence Patient-reported outcomes nationallicence Statistical nationallicence Structural equation modeling nationallicence Item response theory nationallicence Relative importance analysis nationallicence Schwartz Carolyn DeltaQuest Foundation, Inc, Concord, MA, USA aut Sajobi Tolulope Department of Community Health Sciences and Institute for Public Health, University of Calgary, Calgary, Canada aut Verdam Mathilde Department of Medical Psychology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands aut Sebille Veronique Department of Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut Lix Lisa Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada aut Guilleux Alice Department of Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut Sprangers Mirjam Department of Medical Psychology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands aut Quality of Life Research Springer International Publishing 24/3(2015-03-01), 521-528 0962-9343 24:3<521 2015 24 11136 https://doi.org/10.1007/s11136-014-0746-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11136-014-0746-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Schwartz Carolyn DeltaQuest Foundation, Inc, Concord, MA, USA aut NATIONALLICENCE 700 1- Sajobi Tolulope Department of Community Health Sciences and Institute for Public Health, University of Calgary, Calgary, Canada aut NATIONALLICENCE 700 1- Verdam Mathilde Department of Medical Psychology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands aut NATIONALLICENCE 700 1- Sebille Veronique Department of Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut NATIONALLICENCE 700 1- Lix Lisa Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada aut NATIONALLICENCE 700 1- Guilleux Alice Department of Biostatistics, Pharmacoepidemiology and Subjective Measures in Health Sciences, EA 4275, University of Nantes, Nantes, France aut NATIONALLICENCE 700 1- Sprangers Mirjam Department of Medical Psychology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands aut NATIONALLICENCE 773 0- Quality of Life Research Springer International Publishing 24/3(2015-03-01), 521-528 0962-9343 24:3<521 2015 24 11136