Relating Factor Models for Longitudinal Data to Quasi-Simplex and NARMA Models.

Abstract

In this article we show the one-factor model can be rewritten as a quasi-simplex model. Using this result along with addition theorems from time series analysis, we describe a common general model, the nonstationary autoregressive moving average (NARMA) model, that includes as a special case, any latent variable model with continuous indicators and… (More)
DOI: 10.1207/s15327906mbr4001_4

Cite this paper

@article{Rovine2005RelatingFM, title={Relating Factor Models for Longitudinal Data to Quasi-Simplex and NARMA Models.}, author={Michael J. Rovine and Peter C. M. Molenaar}, journal={Multivariate behavioral research}, year={2005}, volume={40 1}, pages={83-114} }