References
Guilleux, A., Blanchin, M., Vanier, A., Guillemin, F., Falissard, B., Schwartz, C. E.,…, Sébille, V. (2015). RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies. Quality of Life Research, 24(3), 553–564. https://doi.org/10.1007/s11136-014-0876-4.
Millsap, R. E., & Kwok, O.-M. (2004). Evaluating the impact of partial factorial invariance on selection in two populations. Psychological Methods, 9, 93–115. https://doi.org/10.1037/1082-989X.9.1.93.
Liu, Y., Millsap, R. E., West, S. G., Tein, J. Y., Tanaka, R., & Grimm, K. J. (2017). Testing measurement invariance in longitudinal data with ordered-categorical measures. Psychological Methods, 22(3), 486–506. https://doi.org/10.1037/met0000075.
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The work on this paper was supported by a grant from the National Institute of Mental Health (T32MH109205).
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Gunn, H.J. Letter to editor regarding “RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies”. Qual Life Res 29, 2609–2610 (2020). https://doi.org/10.1007/s11136-020-02526-1
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DOI: https://doi.org/10.1007/s11136-020-02526-1