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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