Description Usage Arguments Details Value Author(s) References See Also
Derives the mean structure vector \mathbf{m} using the Reticular Action Model (RAM) notation.
1 |
mutheta |
|
A |
|
filter |
|
The mean structure vector \mathbf{m} as a function of Reticular Action Model (RAM) matrices is given by
\mathbf{m} = ≤ft( \mathbf{F} ≤ft( \mathbf{I} - \mathbf{A} \right)^{-1} \right)^{-1} \boldsymbol{μ} ≤ft( \boldsymbol{θ} \right)
where
\mathbf{A}_{t \times t} represents asymmetric paths (single-headed arrows), such as regression coefficients and factor loadings,
\mathbf{F}_{j \times t} represents the filter matrix used to select the observed variables,
\mathbf{I}_{t \times t} represents an identity matrix,
\boldsymbol{μ} ≤ft( \boldsymbol{θ} \right) is the t \times 1 model-implied mean vector
j number of observed variables,
k number of latent variables, and
t number of observed and latent variables, that is j + k .
Returns the mean structure vector \mathbf{m}
derived from the mutheta, A, and filter matrices.
Ivan Jacob Agaloos Pesigan
McArdle, J. J. (2013). The development of the RAM rules for latent variable structural equation modeling. In A. Maydeu-Olivares & J. J. McArdle (Eds.), Contemporary Psychometrics: A festschrift for Roderick P. McDonald (pp. 225–273). Lawrence Erlbaum Associates.
McArdle, J. J., & McDonald, R. P. (1984). Some algebraic properties of the Reticular Action Model for moment structures. British Journal of Mathematical and Statistical Psychology, 37 (2), 234–251.
Other SEM notation functions:
Omega(),
Sigmatheta(),
mutheta()
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