A Note on the Usefulness of Constrained Fourth-Order Latent Differential Equation Models in the Case of Small T

Katinka Hardt (), Steven M. Boker () and Cindy S. Bergeman ()
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Katinka Hardt: Humboldt-Universität zu Berlin
Steven M. Boker: University of Virginia
Cindy S. Bergeman: University of Notre Dame

Psychometrika, 2020, vol. 85, issue 4, No 11, 1016-1027

Abstract: Abstract Constrained fourth-order latent differential equation (FOLDE) models have been proposed (e.g., Boker et al. 2020) as alternative to second-order latent differential equation (SOLDE) models to estimate second-order linear differential equation systems such as the damped linear oscillator model. When, however, only a relatively small number of measurement occasions T are available (i.e., $$T=50$$ T = 50 ), the recommendation of which model to use is not clear (Boker et al. 2020). Based on a data set, which consists of $$T=56$$ T = 56 observations of daily stress for $$N=44$$ N = 44 individuals, we illustrate that FOLDE can help to choose an embedding dimension, even in the case of a small T. This is of great importance, as parameter estimates depend on the embedding dimension as well as on the latent differential equations model. Consequently, the wavelength as quantity of potential substantive interest may vary considerably. We extend the modeling approaches used in past research by including multiple subjects, by accounting for individual differences in equilibrium, and by including multiple instead of one single observed indicator.

Keywords: latent differential equations; damped linear oscillator; continuous time; factor scores; vector field plots (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11336-020-09738-x

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