dgp_2ndorder_cf_of_c | R Documentation |
A dataset containing 500 standardized observations on 19 indicator generated from a
population model with 6 concepts, three of which (c1-c3
) are composites
forming a second order common factor (c4
). The remaining two (eta1
, eta2
)
are concepts modeled as common factors .
dgp_2ndorder_cf_of_c
A matrix with 500 rows and 19 variables:
Indicators attached to c1
.
Population weights are: 0.8; 0.4.
Population loadings are: 0.925; 0.65
Indicators attached to c2
.
Population weights are: 0.5; 0.3; 0.2; 0.4.
Population loadings are: 0.804; 0.68; 0.554; 0.708
Indicators attached to c3
.
Population weights are: 0.3; 0.3; 0.1; 0.1; 0.2; 0.3; 0.4; 0.2.
Population loadings are: 0.496; 0.61; 0.535; 0.391; 0.391; 0.6; 0.5285; 0.53
Indicators attached to eta1
.
Population loadings are: 0.8; 0.7; 0.7
Indicators attached to eta1
.
Population loadings are: 0.8; 0.8; 0.7
The model is:
`c4` = gamma1 * `eta1` + zeta1
`eta2` = gamma2 * `eta1` + beta * `c4` + zeta2
with population values gamma1
= 0.6, gamma2
= 0.4 and beta
= 0.35.
The second order common factor is
`c4` = lambdac1 * `c1` + lambdac2 * `c2` + lambdac3 * `c3` + epsilon
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