Latent State-Trait Models for Longitudinal Family Data

Loncke J, Mayer A, Eichelsheim VI, Branje SJT, Meeus WHJ, Koot HM, Buysse A, Loeys T (2017)
European Journal of Psychological Assessment 33(4): 256-270.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Loncke, Justine; Mayer, AxelUniBi; Eichelsheim, Veroni I.; Branje, Susan J. T.; Meeus, Wim H. J.; Koot, Hans M.; Buysse, Ann; Loeys, Tom
Alternativer Titel
Investigating Consistency in Perceived Support
Abstract / Bemerkung
Support is key to healthy family functioning. Using the family social relations model (SRM), it has already been shown that variability in perceived support is mostly attributed to individual perceiver effects. Little is known, however, as to whether those effects are stable or occasion-specific. Several methods have been proposed within the structural equation modeling (SEM) framework for the investigation of hypotheses on stable and occasion-specific aspects of such psychological attributes. In this paper, we explore the applicability of different models for determining the consistency of SRM effects of perceived support: the multistate model, the singletrait-multistate model, and the trait-state occasion model. We provide a detailed description of the model building process and assumption verification, as well as the supporting R-code. In addition to the methodological contribution on how to combine these models with the SRM, we also provide substantive insights into the consistency of perceived family support. We rely on round robin data on relational support from the Dutch RADAR-Y (Research on Adolescent Development and Relationships – Younger Cohort) study, a 6-year longitudinal study of 500 families with a 13-year-old target adolescent at the start of the study.
Erscheinungsjahr
2017
Zeitschriftentitel
European Journal of Psychological Assessment
Band
33
Ausgabe
4
Seite(n)
256-270
ISSN
1015-5759
eISSN
2151-2426
Page URI
https://pub.uni-bielefeld.de/record/2956064

Zitieren

Loncke J, Mayer A, Eichelsheim VI, et al. Latent State-Trait Models for Longitudinal Family Data. European Journal of Psychological Assessment. 2017;33(4):256-270.
Loncke, J., Mayer, A., Eichelsheim, V. I., Branje, S. J. T., Meeus, W. H. J., Koot, H. M., Buysse, A., et al. (2017). Latent State-Trait Models for Longitudinal Family Data. European Journal of Psychological Assessment, 33(4), 256-270. https://doi.org/10.1027/1015-5759/a000415
Loncke, J., Mayer, A., Eichelsheim, V. I., Branje, S. J. T., Meeus, W. H. J., Koot, H. M., Buysse, A., and Loeys, T. (2017). Latent State-Trait Models for Longitudinal Family Data. European Journal of Psychological Assessment 33, 256-270.
Loncke, J., et al., 2017. Latent State-Trait Models for Longitudinal Family Data. European Journal of Psychological Assessment, 33(4), p 256-270.
J. Loncke, et al., “Latent State-Trait Models for Longitudinal Family Data”, European Journal of Psychological Assessment, vol. 33, 2017, pp. 256-270.
Loncke, J., Mayer, A., Eichelsheim, V.I., Branje, S.J.T., Meeus, W.H.J., Koot, H.M., Buysse, A., Loeys, T.: Latent State-Trait Models for Longitudinal Family Data. European Journal of Psychological Assessment. 33, 256-270 (2017).
Loncke, Justine, Mayer, Axel, Eichelsheim, Veroni I., Branje, Susan J. T., Meeus, Wim H. J., Koot, Hans M., Buysse, Ann, and Loeys, Tom. “Latent State-Trait Models for Longitudinal Family Data”. European Journal of Psychological Assessment 33.4 (2017): 256-270.

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