plot.reliability_table: Function for plotting the measurement model reliability...

In seminr: Building and Estimating Structural Equation Models

Function for plotting the measurement model reliability metrics of a PLS model

Description

plot.reliability_table generates an easy to read visualization of the rhoA, Cronbachs alpha, and Composite Reliability for all constructs. The plot visualizes the metrics in such a way as to draw meaning from not only the absolute values, but their relative values too.

Usage

## S3 method for class 'reliability_table'
plot(x, ...)

Arguments

x	A reliability_table object from a SEMinR PLS model. This can be accessed as the reliability element of the PLS model summary object.
...	All other arguments inherited from plot.

Examples

data(mobi)

# seminr syntax for creating measurement model
mobi_mm <- constructs(
 composite("Image",        multi_items("IMAG", 1:5)),
 composite("Expectation",  multi_items("CUEX", 1:3)),
 composite("Value",        multi_items("PERV", 1:2)),
 composite("Satisfaction", multi_items("CUSA", 1:3))
)

#  structural model: note that name of the interactions construct should be
#  the names of its two main constructs joined by a '*' in between.
mobi_sm <- relationships(
 paths(to = "Satisfaction",
       from = c("Image", "Expectation", "Value"))
)

mobi_pls <- estimate_pls(mobi, measurement_model = mobi_mm, structural_model = mobi_sm)
plot(summary(mobi_pls)$reliability)

seminr documentation built on Oct. 13, 2022, 1:05 a.m.