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The authors present a modeling technology that extends the standard random coefficients model (RCM) by allowing for (1) error variance heterogeneity, (2) a parsimonious, factor-analytic representation of coefficient heterogeneity, and (3) the estimation of one or more unobserved predictors. The...
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