# Overview
```{admonition} Reminder
Final Project Proposal Due: **Wed, Mar 12th**   
[📚 HW 4 Available Now](https://classroom.github.com/a/2I1f9C9A) Due: **Mon, March 17th (by Midnight)**  
[📚 Final Project Due](https://classroom.github.com/a/9Gx3ocCf): **Thurs, Mar 20th**   
[Final Project Submission Instructions](https://docs.google.com/document/d/1KPcCeumDPltzvwgrSeKg_Oq-c_hWr4Wypp2NOjB4Je4/edit?usp=sharing)  
```

## Weekly Plan: Linear Mixed Models & Course Summary

```{topic} [Monday March 10th](/lectures/wk10/1.md)
- Final Project submission overview
- [Introduction to Linear Mixed Models](/lectures/wk10/01_lmms)
- [📚 Lab Notebook](https://classroom.github.com/a/cHaeZZf7)
```

```{topic} Tuesday March 11th
- [LMMs II](/lectures/wk10/02_lmms)
- [📚 Update and continue with yesterday's Lab Notebook](https://classroom.github.com/a/cHaeZZf7)
```

```{topic} [Wednesday March 12th](/lectures/wk10/2.md)
- Course Summary & Wrap Up
```

## Lots of LMM Resources
- [Hierarchical Models Viz](http://mfviz.com/hierarchical-models/)
- [Mixed Models with R](https://m-clark.github.io/mixed-models-with-R/)
- [Introducing linear mixed-effects models](https://psyteachr.github.io/stat-models-v1/introducing-linear-mixed-effects-models.html)
- [A very basic tutorial for performing LMM analyses by Bodo Winter](https://bodowinter.com/tutorial/bw_LME_tutorial.pdf) (*Eshin really enjoyed this when he was in grad-school*) 
- [Standard Operating Procedures for LMMs by D2P2 Lab](https://decision-lab.org/wp-content/uploads/2020/07/SOP_Mixed_Models_D2P2_v1_0_0.pdf)
- [Mixed Models Workshop Tutorial](https://ourcodingclub.github.io/tutorials/mixed-models) 
- [Pymer4 Random Effects Cheatsheet](https://eshinjolly.com/pymer4/rfx_cheatsheet.html)
- [Lme4 Random Effects Cheatsheet](https://paulrjohnson.net/blog/2022-11-01-multilevel-model-r-cheatsheet/) 
- [What is the upside of treating a factor as random?](https://stats.stackexchange.com/a/113636) (*Great answer by Jake Westfall, another well-respected developer of LMM tools and techniques*)
- [Why I don't use the term "fixed and random effects" by Andrew Gelman](https://statmodeling.stat.columbia.edu/2005/01/25/why_i_dont_use/)
- [Centering in LMMs](https://web.pdx.edu/~newsomj/mlrclass/ho_centering.pdf)
- [How to Center in LMMs](https://philippmasur.de/2018/05/23/how-to-center-in-multilevel-models/)
- Readings & Papers
  - Data Analysis: A Model Comparison Approach
    - <a href="/pdfs/DAAMCA_Ch12.pdf"/>Chapter 12: Incorporating Continuous Predictors with Non-independent Data</a>  
  - Pivotal Papers
    - <a href="/pdfs/Barr_2013.pdf"/>Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278. </a>
    - <a href="/pdfs/Barr_2008.pdf"/>Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412.</a>
    - Clark, H. H. (1973). The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. Journal of Verbal Learning and Verbal Behavior, 12(4), 335–359.
```