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).
composite(construct_name, item_names,weights = correlation_weights)
returned by the
is the relationship between the construct and its items. This can be
This function conveniently maps composite defined measurement items to a construct and is estimated using PLS.
A vector of the indicators for a composite.
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) )
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