Generated from a complicated
mediation model among several latent
factors, fx, fm1, fm2, fm3,
and fy, along with two control variables,
c1 and c2, each
has four indicators, and some are
reverse items.
data_indicatorsA data frame with 500 rows and 11 variables:
Indicator of fx. Numeric.
Indicator of fx. Numeric.
Indicator of fx. Numeric.
Indicator of fx. Numeric. A reverse item.
Indicator of fm1. Numeric.
Indicator of fm1. Numeric.
Indicator of fm1. Numeric.
Indicator of fm1. Numeric.
Indicator of fm2. Numeric.
Indicator of fm2. Numeric.
Indicator of fm2. Numeric.
Indicator of fm2. Numeric.
Indicator of fm3. Numeric.
Indicator of fm3. Numeric.
Indicator of fm3. Numeric.
Indicator of fm3. Numeric.
Indicator of fy. Numeric.
Indicator of fy. Numeric.
Indicator of fy. Numeric.
Indicator of fy. Numeric. A reverse item.
Indicator of fc1. Numeric.
Indicator of fc1. Numeric.
Indicator of fc1. Numeric.
Indicator of fc1. Numeric.
Indicator of fc2. Numeric.
Indicator of fc2. Numeric.
Indicator of fc2. Numeric.
Indicator of fc2. Numeric.
Mean of the indicators of x. Numeric.
Mean of the indicators of m1. Numeric.
Mean of the indicators of m2. Numeric.
Mean of the indicators of m3. Numeric.
Mean of the indicators of y. Numeric.
Mean of the indicators of c1. Numeric.
Mean of the indicators of c2. Numeric.
The model:
fx =~ x_1 + x_2 + x_3 + x_4
fm1 =~ m1_1 + m1_2 + m1_3 + m1_4
fm2 =~ m2_1 + m2_2 + m2_3 + m2_4
fm3 =~ m3_1 + m3_2 + m3_3 + m3_4
fy =~ y_1 + y_2 + y_3 + y_4
fc1 =~ c1_1 + c1_2 + c1_3 + c1_4
fc2 =~ c2_1 + c2_2 + c2_3 + c2_4
fm1 ~ a1 * fx + fc1 + fc2
fm3 ~ b1 * fm1 + fc1 + fc2
fm2 ~ a2 * fx + fc1 + fc2
fy ~ b3 * fm3 + b2 * fm2 + fc1 + fc2
ab13 := a1 * b1 * b3
ab2 := a2 * b2