Log linear models are proposed for the analysis of structural relations among multidimensional developmental contingency tables. Model of quasi-independence are suggested for testing specific hypothesized patterns of development. Transitions in developmental categorizations are described by Markov models applied to successive contingency tables. A discussion of the role of Pearson chi square and log likelihood significance tests in model selection is followed by two illustrative data sets. (Author)