Using covariance structure analysis to detect correlates and predictors of individual change over time

  title={Using covariance structure analysis to detect correlates and predictors of individual change over time},
  author={John B. Willett and Aline G. Sayer},
  journal={Psychological Bulletin},
Recently, methodologists have shown how two disparate conceptual arenas—individual growth modeling and covariance structure analysis—can be integrated. The integration brings the flexibility of covariance analysis to bear on the investigation of systematic interindividual differences in change and provides another powerful data-analytic tool for answering questions about the relationship between individual true change and potential predictors of that change. The individual growth modeling… 

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