PLSc {seminr} | R Documentation |
seminr PLSc Function
Description
The PLSc
function calculates the consistent PLS path coefficients and loadings for
a common-factor model. It returns a seminr_model
containing the adjusted and consistent
path coefficients and loadings for common-factor models and composite models.
Usage
PLSc(seminr_model)
Arguments
seminr_model |
A |
Value
A SEMinR model object which has been adjusted according to PLSc.
References
Dijkstra, T. K., & Henseler, J. (2015). Consistent Partial Least Squares Path Modeling, 39(X).
See Also
relationships
constructs
paths
interaction_term
bootstrap_model
Examples
mobi <- mobi
#seminr syntax for creating measurement model
mobi_mm <- constructs(
reflective("Image", multi_items("IMAG", 1:5)),
reflective("Expectation", multi_items("CUEX", 1:3)),
reflective("Quality", multi_items("PERQ", 1:7)),
reflective("Value", multi_items("PERV", 1:2)),
reflective("Satisfaction", multi_items("CUSA", 1:3)),
reflective("Complaints", single_item("CUSCO")),
reflective("Loyalty", multi_items("CUSL", 1:3))
)
#seminr syntax for creating structural model
mobi_sm <- relationships(
paths(from = "Image", to = c("Expectation", "Satisfaction", "Loyalty")),
paths(from = "Expectation", to = c("Quality", "Value", "Satisfaction")),
paths(from = "Quality", to = c("Value", "Satisfaction")),
paths(from = "Value", to = c("Satisfaction")),
paths(from = "Satisfaction", to = c("Complaints", "Loyalty")),
paths(from = "Complaints", to = "Loyalty")
)
seminr_model <- estimate_pls(data = mobi,
measurement_model = mobi_mm,
structural_model = mobi_sm)
PLSc(seminr_model)
[Package seminr version 2.3.3 Index]