seminr: higher_composite – R documentation

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higher_composite

Description

higher_composite creates a higher order construct from first order constructs using the two-stage method (Becker et al., 2012).

Usage

higher_composite(construct_name, dimensions, method, weights)

Arguments

`construct_name`	of second order construct
`dimensions`	the first order constructs
`method`	is the estimation method, default is two_stage
`weights`	is the relationship between the second order construct and first order constructs. 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 first order constructs onto second order constructs using construct names.

Value

A vector of the indicators for a higher-order-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),
    higher_composite("Quality",  c("Image","Expectation"), method = two_stage),
    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