Testing multivariate mean collinearity via latent variable modelling |
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| Authors: | Tenko Raykov Spiridon Penev |
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| Institution: | 1. Michigan State University, East Lansing, USA;2. University of New South Wales, Sydney, Australia |
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| Abstract: | A procedure for testing mean collinearity in multidimensional spaces is outlined, which is applicable in settings with missing data and can be used when examining group mean differences. The approach is based on non‐linear parameter restrictions and is developed within the framework of latent variable modelling. The method provides useful information about the constellation of multiple response centroids in the populations studied, and is illustrated with an example. |
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