Growth Curve Analysis: A Hands-On Tutorial on Using Multilevel Regression to Analyze Time Course Data

Daniel MirmanDrexel University

Abstract

Growth curve analysis (multilevel regression) offers a sta-tistical framework for analyzing longitudinal or time course data and for quantifying differences between individuals in the context of a model of the overall group effects. These methods have been known to statisticians for many years (e.g., Wishart, 1938), but they have only recently become a prominent statistical tool in the cognitive sciences. Interest in using these statistical methods to analyze cognitive science data has outpaced cognitive scientists’ knowledge of how to implement them. This one-day tutorial will provide a hands-on introduction to using multilevel regression to analyze longitudinal or time course data and individual differences in the cognitive sciences. The focus will be on practical aspects of implementation and common pitfalls, rather than statistical theory.

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Growth Curve Analysis: A Hands-On Tutorial on Using Multilevel Regression to Analyze Time Course Data (31 KB)



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