R: Assessing Discriminant Validity using Heterotrait-Monotrait...

htmt {semTools} | R Documentation

## 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.

### Author(s)

Ylenio Longo (University of Nottingham; yleniolongo@gmail.com)

### 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

    HS.model <- ' visual  =~ x1 + x2 + x3
                  textual =~ x4 + x5 + x6
                  speed   =~ x7 + x8 + x9 '

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

[Package semTools version 0.4-14 Index]