How do you know when to use a time series and when to use a linear mixed model for longitudinal data?
What’s the difference between repeated measures data and longitudinal?
In this training, you’ll learn over a dozen different ways of analyzing longitudinal, repeated measures, and time series data, starting with the simplest Stage 1 test and ending with many options at Stage 4.
You’ll learn the differences among these different types of analysis. This includes the types of research questions they answer, the types of designs they work well for, and which features of the data each one needs.
Note: This training is a benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series.
About the Instructor
Karen Grace-Martin helps statistics practitioners gain an intuitive understanding of how statistics is applied to real data in research studies.
She has guided and trained researchers through their statistical analysis for over 15 years as a statistical consultant at Cornell University and through The Analysis Factor. She has master’s degrees in both applied statistics and social psychology and is an expert in SPSS and SAS.
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