Abstract
Social and behavioral scientists routinely use statistical models to make inferences about the distribution of one or more dependent variables (which may be observed and/or unobserved), conditional on a set of independent variables. Often, this conditional distribution is assumed to be absolutely continuous, and in many instances, normal.
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Sobel, M.E. (1995). The Analysis of Contingency Tables. In: Arminger, G., Clogg, C.C., Sobel, M.E. (eds) Handbook of Statistical Modeling for the Social and Behavioral Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1292-3_5
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