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Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)

Statistics

Psychology

NHST

Null Hypothesis Significance Testing

Philosophy of Science

Автор: Simplistics (QuantPsych)

Загружено: 24 июл. 2024 г.

Просмотров: 21 525 просмотров

Описание:

Come take a class with me! Visit http://simplistics.net to sign up for self-guided or live courses. I hope to see you there!

Video about determining whether variables are fixed or random:    • How to decide whether an effect is fixed o...  

Learning Objectives:
The assumption of independence and "duplicating" your dataset
Consequences of violating independence
HLM vs mixed models, vs multilevel models
What mixed models are doing geometrically
Fixed vs. random effects
Visual representation of
random slope/intercept models
random slopes models
random intercepts models

And here's a paper I wrote about my eight step approach to data analysis: https://psyarxiv.com/r8g7c/


Undergraduate curriculum playlist (GLM-based approach): https://www.youtube.com/playlist?list...
Graduate curriculum playlist (also GLM-based approach): https://www.youtube.com/playlist?list...
Exonerating EDA paper: https://psyarxiv.com/5vfq6/
Download JASP (and visual modeling module): www.jasp-stat.org

Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)

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