higher_composite: higher_composite

In seminr: Building and Estimating Structural Equation Models

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.

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),
    higher_composite("Quality",  c("Image","Expectation"), method = two_stage),
    composite("Value",        multi_items("PERV", 1:2), weights = mode_B)
  )

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