slope_analysis: Function for plotting a slope analysis for an interaction in...

In seminr: Building and Estimating Structural Equation Models

Function for plotting a slope analysis for an interaction in a PLS model

Description

slope_analysis generates an interaction plot for the effect of an antecedent on an outcome given a mediator variable.

Usage

slope_analysis(moderated_model, dv, moderator, iv,  leg_place)

Arguments

moderated_model	A SEMinR model that contains an interaction.
dv	The name of the dependant consutruct affected by the moderator (interaction term).
moderator	The name of the moderator construct.
iv	The name of the independant construct affected by the moderator.
leg_place	The location of the legend, in order to make sure the legend does not obscure the plot lines.

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)),
interaction_term(iv = "Image", moderator = c("Expectation"), method = orthogonal))

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

# Load data, assemble model, and estimate
mobi_pls <- estimate_pls(data = mobi,
                         measurement_model = mobi_mm,
                         structural_model = mobi_sm)

slope_analysis(mobi_pls, "Satisfaction", "Expectation", "Image", "bottomright")

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