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Quasi‐longitudinal Designs in SEM state Space Modeling
Author(s) -
Oud Johan H. L.
Publication year - 2001
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/1467-9574.00165
Subject(s) - computer science , state space , structural equation modeling , interval (graph theory) , scope (computer science) , space (punctuation) , mathematical optimization , mathematics , statistics , combinatorics , programming language , operating system
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.