Mixed-Effects Models

Jonathon D. Brown
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Jonathon D. Brown: University of Washington, Department of Psychology

Chapter Chapter 14 in Advanced Statistics for the Behavioral Sciences, 2018, pp 495-526 from Springer

Abstract: Abstract We have covered a variety of statistical models in this book, but all have shared a common feature: The criterion and error term were treated as random variables, but all of the predictors were assumed to be fixed. In this chapter, we will consider models that include a broader mixture of fixed and random variables. For obvious reasons, these models are called mixed-effects models or mixed models.

Date: 2018
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DOI: 10.1007/978-3-319-93549-2_14

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