A data frame containing 34 variables with 569 observations.
Yooetal2000An object of class data.frame with 569 rows and 34 columns.
Simulated data with the same correlation matrix as the data studied by Yoo2000;textualcSEM.
The data is simulated and has the identical correlation matrix as the data that was analysed by Yoo2000;textualcSEM to examine how five elements of the marketing mix, namely price, store image, distribution intensity, advertising spending, and price deals, are related to the so-called dimensions of brand equity, i.e., perceived brand quality, brand loyalty, and brand awareness/associations. It is also used in Henseler2017;textualcSEM and Henseler2021;textualcSEM for demonstration purposes, see the corresponding tutorial.
#============================================================================
# Example is taken from Henseler (2021)
#============================================================================
model_HOC="
# Measurement models FOC
PR =~ PR1 + PR2 + PR3
IM =~ IM1 + IM2 + IM3
DI =~ DI1 + DI2 + DI3
AD =~ AD1 + AD2 + AD3
DL =~ DL1 + DL2 + DL3
AA =~ AA1 + AA2 + AA3 + AA4 + AA5 + AA6
LO =~ LO1 + LO3
QL =~ QL1 + QL2 + QL3 + QL4 + QL5 + QL6
# Composite model for SOC
BR <~ QL + LO + AA
# Structural model
BR~ PR + IM + DI + AD + DL
"
out <- csem(.data = Yooetal2000, .model = model_HOC,
.PLS_weight_scheme_inner = 'factorial',
.tolerance = 1e-06)