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For the most part, few developmental questions can be addressed with a single analytic approach because each approach is geared to address only certain aspects of the data. In our overview, we will describe the basic features of the techniques and discuss their merits with regard to the nature of the question they can address and the quality of the answer that they provide. In general, longitudinal techniques can be categorized into those that address changes in group means (eg, repeated-measures ANOVA), those that address changes in the individualdifferences standings among a sample of individuals (ie, modeling between-person relations with procedures such as regression, path analysis, or structural equation modeling; SEM) and those that address changes intra-individually (ie, modeling within-person change relations with procedures such as growth-curve and multi-level modeling). In this chapter, we will focus primarily on the techniques derived from the general class of latent variable methods (ie, SEM) for the analysis of change because of the various limitations