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lesson_24_mlm.Rmd
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lesson_24_mlm.Rmd
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---
title: 'Lesson 24. Multilevel (Mixed or Nested) Linear Models (MLM)'
---
## Lesson 24. Multilevel (Mixed or Nested) Linear Models (MLM)
### Overview of MLM
We will discuss the power of this modeling approach and compare and contrast these models with those from RM-ANOVA.
We will also discuss the "structure" of the data needed - long versus wide formats.
### Analysis Code for MLM
* HELP Dataset SPSS Format [https://github.com/melindahiggins2000/N736Fall2017_lesson17/raw/master/helpmkh.sav](https://github.com/melindahiggins2000/N736Fall2017_lesson17/raw/master/helpmkh.sav)
* SPSS SYNTAX Code [https://github.com/melindahiggins2000/N736Fall2017_lesson23/raw/master/SPSS_Syntax_lesson23.sps](https://github.com/melindahiggins2000/N736Fall2017_lesson23/raw/master/SPSS_Syntax_lesson23.sps)
* SAS Dataset [https://github.com/melindahiggins2000/N736Fall2017_lesson17/raw/master/helpmkh.sas7bdat](https://github.com/melindahiggins2000/N736Fall2017_lesson17/raw/master/helpmkh.sas7bdat)
* SAS Code [https://github.com/melindahiggins2000/N736Fall2017_lesson23/raw/master/lesson23.sas](https://github.com/melindahiggins2000/N736Fall2017_lesson23/raw/master/lesson23.sas)
* R Code v.1 [https://github.com/melindahiggins2000/N736Fall2017_lesson23/raw/master/lesson23_Rcode.R](https://github.com/melindahiggins2000/N736Fall2017_lesson23/raw/master/lesson23_Rcode.R)
* R Code v.2 [https://github.com/melindahiggins2000/N736Fall2017_lesson23/raw/master/lesson23_rmanovaUpdate_Rcode.R](https://github.com/melindahiggins2000/N736Fall2017_lesson23/raw/master/lesson23_rmanovaUpdate_Rcode.R)