seminr: composite – R documentation

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composite

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.

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

Building and Estimating Structural Equation Models

v2.0.2

GPL-3

Authors

Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], André Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne Adler [ctb]

Initial release

2021-04-01