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Gepubliceerd in: Quality of Life Research 3/2015

01-03-2015 | Commentary

Response shift in the presence of missing data

Auteur: D. L. Fairclough

Gepubliceerd in: Quality of Life Research | Uitgave 3/2015

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Excerpt

The authors of these three papers [13] have undertaken a very challenging task by simultaneously attempting to address two very difficult problems: response shift (RS) and missing data. Part of the challenge is that both approaches often rely on making untestable assumptions. These papers also illustrate other challenges. …
Literatuur
1.
go back to reference Verdam, M. G. E., Oort, F. J., van der Linden, Y. M., & Sprangers, M. A. G. (2015). Taking into account the impact of attrition on the assessment of response shift and true change: A multigroup structural equation modeling approach. Quality of Life Research. doi:10.1007/s11136-014-0829-y. Verdam, M. G. E., Oort, F. J., van der Linden, Y. M., & Sprangers, M. A. G. (2015). Taking into account the impact of attrition on the assessment of response shift and true change: A multigroup structural equation modeling approach. Quality of Life Research. doi:10.​1007/​s11136-014-0829-y.
2.
go back to reference Sajobi, T. T., Lix, L. M., Singh, G., Lowerison, M., Engbers, J., & Mayo, N. E. (2015). Identifying reprioritization response shift in a stroke caregiver population: A comparison of missing data methods. Quality of Life Research. doi:10.1007/s11136-014-0824-3. Sajobi, T. T., Lix, L. M., Singh, G., Lowerison, M., Engbers, J., & Mayo, N. E. (2015). Identifying reprioritization response shift in a stroke caregiver population: A comparison of missing data methods. Quality of Life Research. doi:10.​1007/​s11136-014-0824-3.
3.
go back to reference Guilleux, A., Blanchin, M., Vanier, A., Guillemin, F., Falissard, B., & Schwartz, C. E., Hardouin, J.-B., & Sébille, V. (2015). RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcomes studies. Quality of Life Research. doi:10.1007/s11136-014-0876-4. Guilleux, A., Blanchin, M., Vanier, A., Guillemin, F., Falissard, B., & Schwartz, C. E., Hardouin, J.-B., & Sébille, V. (2015). RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcomes studies. Quality of Life Research. doi:10.​1007/​s11136-014-0876-4.
4.
go back to reference Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data (2nd ed.). Hoboken, NJ: Wiley.CrossRef Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data (2nd ed.). Hoboken, NJ: Wiley.CrossRef
Metagegevens
Titel
Response shift in the presence of missing data
Auteur
D. L. Fairclough
Publicatiedatum
01-03-2015
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 3/2015
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-015-0920-z

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