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full model
Updated on 04/19/2018
a statistical representation that includes all of the variables of interest, or all of the main
parameters
(e.g.,
regression coefficients
), among a set of variables. For example, in
structural equation modeling
, a full model might include estimated regression parameters between a set of
independent variables
,
mediators
, and
dependent variables
. When there are as many parameters estimated in a full model as there are
degrees of freedom
, it is said to be a
saturated model
. Also called
unrestricted model
.
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