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Chan, Wai; Bentler, Peter M. – Multivariate Behavioral Research, 1996
A method is proposed for partially analyzing additive ipsative data (PAID). Transforming the PAID according to a developed equation preserves the density of the transformed data, and maximum likelihood estimation can be carried out as usual. Simulation results show that the original structural parameters can be accurately estimated from PAID. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Goodness of Fit, Matrices