Sloane and Wilkins consider how quantitative methods can be applied to different research questions and contexts, particularly in the analysis of longitudinal growth in mathematics learning. Using the example of hierarchical linear modeling, they present an iterative view of statistical modeling in which statistical models are used to explore theoretical and empirical questions. A key concern raised by the authors is the need to align chosen statistical models with the theoretical models of the phenomenon under study.

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