are able to directly test the generalizability of our findings across the two samples (akin to meta-analysis). These two features (increasing sample heterogeneity and testing generalizability of findings across the samples) are key advantages of integrative data analysis. The combined samples also have greater power to test interactions. And, importantly, the combined samples are able to test the hypotheses of interest over a longer developmental age range than is possible in any one of the two studies alone. (For a more complete discussion of the relative advantages and disadvantages of this approach, see Curran & Hussong, 2009.)
