Yooetal2000: Data: Yooetal2000

In cSEM: Composite-Based Structural Equation Modeling

Data: Yooetal2000

Description

A data frame containing 34 variables with 569 observations.

Usage

Yooetal2000

Format

An object of class data.frame with 569 rows and 34 columns.

Details

The data is simulated and has the identical correlation matrix as the data that was analysed by \insertCiteYoo2000;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 \insertCiteHenseler2017;textualcSEM and \insertCiteHenseler2021;textualcSEM for demonstration purposes, see the corresponding tutorial.

Source

Simulated data with the same correlation matrix as the data studied by \insertCiteYoo2000;textualcSEM.

References

\insertAllCited

Examples

#============================================================================
# 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)

cSEM documentation built on Nov. 25, 2022, 1:05 a.m.