Quasi-longitudinal Designs in SEM state Space Modeling |
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Authors: | Johan H. L. Oud |
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Affiliation: | University of Nijmegen, Institute of Special Education, PO Box 9104, 6500 HE Nijmegen, The Netherlands |
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Abstract: | The collection of longitudinal data over the full model time scope is often an appropriate way to estimate the dynamic state space model with time-varying parameters. Nevertheless, in many situations it is possible and preferable to collect and combine data from independent groups of subjects, each covering a shorter interval than the full dynamic model. Several quasi-longitudinal designs are discussed: overlapping designs (overlapping cohort design OCD and overlapping samples design OSD) as well as nonoverlapping designs up to the exclusively cross-sectional design. The use of the structural equation modeling (SEM) program Mx and continuous time state space modeling is recommended. Finally, a number of the quasi-longitudinal designs is empirically evaluated, comparing the results with those of the full-longitudinal design. |
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Keywords: | structural equation modeling state space modeling quasi-longitudinal designs overlapping designs developmentally time-varying processes historically time-varying processes |
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