semTools (version 0.4-14)

htmt: Assessing Discriminant Validity using Heterotrait-Monotrait Ratio

Description

This function assesses discriminant validity through the heterotrait-monotrait ratio (HTMT) of the correlations (Henseler, Ringlet & Sarstedt, 2015). Specifically, it assesses the average correlation among indicators across constructs (i.e. heterotrait-heteromethod correlations), relative to the average correlation among indicators within the same construct (i.e. monotrait-heteromethod correlations). The resulting HTMT values are interpreted as estimates of inter-construct correlations. Absolute values of the correlations are used to calculate the HTMT matrix.

Usage

htmt(data, model, ...)

Arguments

data

A desired data set

model

lavaan syntax of a confirmatory factor analysis model where at least two factors are required to indicate indicators measuring the same construct.

…

Other arguments shown in lavCor

Value

A matrix showing HTMT values (i.e., discriminant validity) between each pair of factors.

References

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135.

Examples

# NOT RUN {
HS.model <- ' visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '

dat <- HolzingerSwineford1939[, paste0("x", 1:9)]
htmt(dat, HS.model)
# }