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added intro file in chapter 6.2.1
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leilazacharias committed May 19, 2019
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# Introduction
Introduction to mixed-effects modeling
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Dejan Draschkow
May 19, 2019

A hands-on crash course in reproducible mixed-effects modeling
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This is a very preliminary resource, established for a satellite event at VSS 2019. Its aim is to establish the basis for a comprehensive book chapter. By gathering feedback as early as possible it will hopefully appeal to a broader audience.

Mixed-effects models are a powerful alternative to traditional F1/F2-mixed model/repeated-measure ANOVAs and multiple regressions. Mixed models allow simultaneous estimation of between-subject and between-stimulus variance, deal well with missing data, allow for easy inclusion of covariates and modelling of higher order polynomials. This workshop provides a focused, hands-on treatment of applying this analysis technique in an open and reproducible way. More [introductory](http://www.bodowinter.com/index.html) or [extensive](http://read.psych.uni-potsdam.de/pmr2/) resources are currently available and I can highly recommend them.
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