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Longitudinal Data Analysis by Scott M. Hofer, Richard N. Jones, Jason Newsom

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10

Dynamic Structural Equation Models of Change

Archana Jajodia

VA San Diego Healthcare System and University of California San Diego

 

Aging, health, and social science researchers often spend considerable time and resources on longitudinal data collection to study the dynamic interplay of variables over time. The use of longitudinal data helps make the important distinction between differences between individuals and changes within an individual (McArdle, 2009).* Studying the longitudinal relationships between variables, however, remains a data analysis challenge for many researchers. This prevents adequate use of these valuable data to test hypotheses about directionality of effects. Aging, health, and social science researchers often resort ...

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