Journal of Data Science

Abstract: This paper considers models of educational data where a value added analysis is required. These models are multilevel in nature and contain endogenous regressors. Multivariate models are considered so as to simulta neously model results from different subject areas. Path models and factor models are considered as types of model that can be used to overcome the problem of endogeneity. Estimation methods available in MLwiN and EQS are used. The use of a factor model with EQS is shown to give estimates of the effects of teaching styles that have smaller standard errors than any other method studied.