A Latent Look at Empirical Generalizations
Published Online:1 Aug 1995https://doi.org/10.1287/mksc.14.3.G61
Abstract
All empirical data and the resulting parameters are subject to error. In this paper we explicitly use the standard, but hardly profound, “model”
$$\hbox{Observed Value} = \hbox{True Score} + \hbox{Error}$$
as a lens for better viewing empirical studies in search of empirical generalizations in marketing. This lens is especially valuable when the unit of analysis is the individual consumer. However, even when a macro study contrasts price elasticities across cities, this O = T + E framework can be very helpful.

