TY - JOUR
T1 - Distinguishing between-person and within-person relationships in longitudinal health research
T2 - Arthritis and quality of life
AU - Ryu, Ehri
AU - West, Stephen
AU - Sousa, Karen H.
N1 - Funding Information:
Acknowledgments This research was supported by National Institute of Nursing Research grant NRO4817 to Karen H. Sousa. Stephen G. West was supported by Forschungspreis (research prize) from the Alexander von Humboldt foundation.
PY - 2012/6
Y1 - 2012/6
N2 - Background Many health measures (e.g., blood pressure, quality of life) have meaningful fluctuation over time around a relatively stable mean level for each person. Purpose This didactic paper describes two closely related statistical models for examining between-person and withinperson relationships between two or more sets of measures collected over time: the latent intercept model with correlated residuals (LI) in structural equation modeling framework and the multivariate multilevel model (MVML) in multilevel modeling framework. Results We illustrated that the basic LI model and the MVML model are equivalent. We presented an illustrative example using a national arthritis data resource to examine between-person and within-person relationships of symptom status, functional health, and quality of life in arthritis patients. Discussion Additional design and modeling issues for the treatment of missing data are considered.We discuss contexts in which one of the two models may be preferred. Mplus and SAS syntax are available.
AB - Background Many health measures (e.g., blood pressure, quality of life) have meaningful fluctuation over time around a relatively stable mean level for each person. Purpose This didactic paper describes two closely related statistical models for examining between-person and withinperson relationships between two or more sets of measures collected over time: the latent intercept model with correlated residuals (LI) in structural equation modeling framework and the multivariate multilevel model (MVML) in multilevel modeling framework. Results We illustrated that the basic LI model and the MVML model are equivalent. We presented an illustrative example using a national arthritis data resource to examine between-person and within-person relationships of symptom status, functional health, and quality of life in arthritis patients. Discussion Additional design and modeling issues for the treatment of missing data are considered.We discuss contexts in which one of the two models may be preferred. Mplus and SAS syntax are available.
KW - Arthritis
KW - Between-person and within-person relationship
KW - HRQOL
KW - Latent intercept model
KW - Multivariate multilevel model
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U2 - 10.1007/s12160-011-9341-6
DO - 10.1007/s12160-011-9341-6
M3 - Article
C2 - 22270265
AN - SCOPUS:84863964437
SN - 0883-6612
VL - 43
SP - 330
EP - 342
JO - Annals of Behavioral Medicine
JF - Annals of Behavioral Medicine
IS - 3
ER -