composite: Composite construct measurement model specification

In seminr: Building and Estimating Structural Equation Models

Composite construct measurement model specification

Description

composite creates the composite measurement model matrix for a specific construct, specifying the relevant items of the construct and assigning the relationship of either correlation weights (Mode A) or regression weights (Mode B).

Usage

composite(construct_name, item_names,weights = correlation_weights)

Arguments

construct_name	of construct
item_names	returned by the multi_items or single_item functions
weights	is the relationship between the construct and its items. This can be specified as correlation_weights or mode_A for correlation weights (Mode A) or as regression_weights or mode_B for regression weights (Mode B). Default is correlation weights.

Details

This function conveniently maps composite defined measurement items to a construct and is estimated using PLS.

Value

A vector of the indicators for a composite.

See Also

See constructs, reflective

Examples

  mobi_mm <- constructs(
    composite("Image",        multi_items("IMAG", 1:5), weights = correlation_weights),
    composite("Expectation",  multi_items("CUEX", 1:3), weights = mode_A),
    composite("Quality",      multi_items("PERQ", 1:7), weights = regression_weights),
    composite("Value",        multi_items("PERV", 1:2), weights = mode_B)
  )

seminr documentation built on Oct. 14, 2024, 1:07 a.m.