Methods that capture growth or change in variables over time are becoming progressively more important across many areas of psychology. This paper offers a brief introduction to growth curve modelling, an increasingly popular method for analysing change over time. Several different aspects of growth curve modelling are reviewed, including the differences between fixed and random effects, between- versus within-person variation, and practical considerations such as data setup and basic model estimation. Finally, a series of recommended readings are provided for those interested in learning more about growth curve modelling.
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