qcpm (version 0.4)

reliability: Measurement model reliability and internal consistence

Description

reliability returns the classical indices used in PLS-PM to assess the reliability and internal consistence of the measurement model (Hair et al., 2019). In order it provides: Cronbach's alpha, Dillon-Goldstein's rho, the Dijkstra-Henseler rho, and first and second eigenvalue of the correlation matrix of the manifest variables. The function also returns the outer mode (A or B) and the number of manifest variables for each block.

Usage

reliability(qcpm)

Value

A table containing, for each block, the outer mode (A or B), the number of manifest variables, Cronbach's alpha, Dillon-Goldstein's rho, Dijkstra-Henseler rho, and first and second eigenvalue of the manifest variable correlation matrix.

Arguments

qcpm

is an object of class qcpm

Author

Cristina Davino, Pasquale Dolce, Giuseppe Lamberti, Domenico Vistocco

Details

The function only returns Dijkstra-Henseler rho values for quantile 0.5. When mode B is selected, or there are some intra-block inverse correlations, the Dijkstra-Henseler rho, Cronbach's alpha, and Dillon-Goldstein's rho are not calculated.

References

Hair, J.F., Risher, J.J., Sarstedt, M. and Ringle, C.M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31 (1), pp. 2--24, doi: 10.1108/EBR-11-2018-0203

Sanchez, G. (2013). PLS Path Modeling with R Trowchez Editions. Berkeley, 2013. Available at https://www.gastonsanchez.com/PLS_Path_Modeling_with_R.pdf.

See Also

qcpm, assessment, boot, and summary

Examples

# Example of QC-PM in Well-Being analysis
# model with three LVs and reflective indicators

# load library and dataset province
library(qcpm)
data(province)

# Define the model using laavan sintax. Use a set of regression formulas defining 
# firstly the structural model and then the measurement model
model <- "
ECOW ~ EDU
HEALTH ~ EDU + ECOW

# Reflective measurement model
EDU =~ EDU1 + EDU2 + EDU3 + EDU4 + EDU5 + EDU6 + EDU7
ECOW =~ ECOW1 + ECOW2 + ECOW3 + ECOW4 + ECOW5 + ECOW6
HEALTH =~  HEALTH1 + HEALTH2 + HEALTH3
"


# Apply qcpm
well.qcpm = qcpm(model,province)
reliability(well.qcpm)