The Effect of Sampling-Time Variation on Latent Growth Curve Models |
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| Authors: | Matt L Miller Emilio Ferrer |
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| Institution: | University of California, Davis |
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| Abstract: | Longitudinal data are often collected in waves in which a participant’s data can be collected at different times within each wave, resulting in sampling-time variation that is unaccounted for when waves are treated as single time points. Little research has been reported on the effects of this temporal imprecision on longitudinal growth-curve modeling. This article describes the results of a simulation study into the effect of sampling-time variation on parameter estimation, model fit, and model comparison with an empirical validation of the model fit and comparison results. |
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| Keywords: | fit indexes longitudinal growth curve model parameter bias sampling |
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