Mixed Models, Hierarchical Linear Models, and Multilevel Models: A simple explanation

Рет қаралды 69,685

3 жыл бұрын

Do you want to take a class with me? Visit simplistics.net to register for a class. You can either do "live" classes, where you'll learn from me directly via zoom. Or you can register for "self-guided" courses, complete with a schedule, discussion boards, quizzes, readings, etc.
Learning Objectives
#1: What is the assumption of independence?
#2: Two reasons violating independence is problematic
#3: Mixed models vs. HLM vs. Multilevel models, etc.
#4. Understand what a mixed model is doing (geometrically)
#5. FIxed vs. Random Effects
#6. Visual representation of fixed/random slopes/intercepts
This is part of a playlist on multivariate statistics: • Multivariate Statistics
You can see my older version of the video here: • Mixed Models, Hierarch...

Пікірлер: 100

@QuantPsych 3 ай бұрын

@deejayserious6981 2 жыл бұрын

It takes a special kind of person to be so energetic for a subject like this, thanks for the explanation and unconventional format!

@alifarahani4398 Жыл бұрын

This video single handedly made my life sooooo much easier. Such a great explanation and so to the point. Loved it!

@lawrencechan2693 2 жыл бұрын

I can't believe I've never found your channel until now. Great explanations!

@tilakbhusal2577 19 күн бұрын

My thesis is based on HLM and you just saved my life.

@nikitharao1853 2 жыл бұрын

Amazing explanation! I was tired of searching for a good video on this topic, glad I found this video.

@dezequielp2 2 жыл бұрын

FINALLY I understood this. Thanks a lot. Keep up the good work. Greetings from Brazil!

@bumblebee7597 Жыл бұрын

Best explanation ever on KZfaq! And what a fun style of teaching 😎

@thelateknights 2 жыл бұрын

Great video. Thanks so much! It helps that you go over examples too.

@chaoh2258 Жыл бұрын

This is such a fun and clear explanation!

@mohammedalsahli1273 Жыл бұрын

9:43 This is what I have been trying to understand for a long time. Thank you.

@Tungaruanrootz Жыл бұрын

brilliant way to explain these grad level topics. Thank you

@kylekraemer5116 2 жыл бұрын

This is amazing. I wish my MLM class had been this clear. Thanks for the refresher.

@ahmednaeim3734 3 ай бұрын

it's the first time to really enjoy and understand statistical modelling like that! thanks a lot!

@QuantPsych 3 ай бұрын

Glad you liked it!

@MichaelDiamondMusic 3 жыл бұрын

Awesome video! Very entertaining as well

@siddhft3001 3 жыл бұрын

Thank you so much! This video was really helpful!

@chiawenkuo 3 жыл бұрын

Will you please introduce generalized estimating equations (GEE)? When to use GEE vs. Mixed Model? _/|\_Thank you

@TechnoCrinoline 3 жыл бұрын

Thank you! I love this explanation style. It's hilarious and really sticks.

@brandyhorne1997 2 жыл бұрын

This was awesome - and quite entertaining.

@matrixtoogood5601 3 жыл бұрын

Amazing explanation! Probably one of the simplest explanations of mixed models on KZfaq. Please consider lowering the volume of the edited video to 85% or 90% as it does tend to get very loud at times

@stephenogbodo1328 3 жыл бұрын

Nice fun explanation of the concept. Thanks

@javiervalverde3542 2 жыл бұрын

Clear and fun! Thanks a lot!

@dataman6744 2 жыл бұрын

Best explanation, great job

@jessperry1703 Жыл бұрын

Hi Quant Psych! Do you have any tutorials for estimating sample size for multi-level models?

@adityaroshan2707 2 жыл бұрын

Great Explanation, Thanks

@wenzelkaltenbacher8721 2 жыл бұрын

Great video, thank you!

@TheBrandAye 10 ай бұрын

Doing the lords work, thanks! - Ph.D. Student

@tahamansoor6548 Жыл бұрын

Awesome video! Thank you!

@notcharlotte4424 2 жыл бұрын

LOVE YOUR VIDEOS!!!

@dcdno_one2393 3 жыл бұрын

Your video is super amazing. Take your production to the next level by using close microphone source like a lav mic clipped on. It will reduce the reverberation and increase intelligibility.

@elrishiilustrado9592 3 жыл бұрын

Nice video and nice explanation. I would like have seen some exemples with paired data.

@samuelroytburd1260 Ай бұрын

Appreciate it, thanks!

@emihayashidvm5379 Жыл бұрын

Thank you for making these lecture videos freely available without commercials. Do you have any videos on dyad analysis?

@jessesutton7460 Жыл бұрын

Thank you for your help.

@jekamito Жыл бұрын

Great, great explanation

@MangoldProject 2 жыл бұрын

Dear Quant Psych: At around 12:30, you describe the "group" (schools) should be treated as a random intercept effect. Can you explain why we should not treat it as a fixed effect? Why not have two categorical variables, "Sex" (with two levels) and "Group" (with three levels), for a total of six combinations, to model your data?

@lisakaly6371 2 жыл бұрын

your video is soooo good!

@anne-katherine1169 5 ай бұрын

Asking people to leave comments with their guesses is not pedagogical, it is just asking people to leave comments so that the video might get more views in the future or something. xd It's like asking people to like and subscribe. Thank you for these explanations btw, your videos are very fun to watch.

@QuantPsych 4 ай бұрын

Exactly!

@kriegsmandot1 20 күн бұрын

Hey! Thanks so much for these videos! Where might I find this 3 hospitals data set you used?

@natasmart1191 2 жыл бұрын

OMG, Thanks so much for this video! Please consider the advice concerning your mic, think of all of your foreigner followers (like me) 🙏love your videos

@CundSS 2 жыл бұрын

Hi there. Thanks a lot for this Video. Do you happen to know a proper way how to visualize a MLM when having 3 predictors (all with different slopes/ intercepts) into one Output? I searched almost the whole internet for this and it seems you got something like this in your video. Thanks a lot in advance for your reply

@ostione 2 жыл бұрын

Hi, is this what is used for Panel regressions with time series data? Thanks!

@user-ke5sq7dp3f 6 ай бұрын

So helpfull !! thanks so much :)

@fahadfardan 3 жыл бұрын

Question: Why using dummy variables to represent each condition is not sufficient? For example, what if I use a binary variable for each doctor which captures the difference, if any, between doctors and their effect on the patient they have.

@stephenmurphy5055 Жыл бұрын

Generally opting for the dummy variable approach will lead to many more parameters being added to your model (at least, when there are many groups), rather than just the group error term(s)...this is just one parameter extra for a random intercept model, for instance. It also may prevent you from modelling explanatory variables relating to the group effect, and fixed effect approaches (i.e., dummy variable approach) can't generalise beyond the groups that make up the sample.

@deborahfranza2925 11 ай бұрын

AWESOME VIDEO TYSM!!!

@Zonno5 2 жыл бұрын

It's a very good explanation but I can only imagine you can keep on subdividing your subgroups or random effects until a clear mixed effect comes out. Are these random effects also evaluated using R^2?

@QuantPsych 2 жыл бұрын

Yes, with some added complications. I have a video about computing R squared for HLMs

@edwinicq 3 жыл бұрын

really good, can use more slides to emphasize points of discussion

@celia5083 3 жыл бұрын

love iiiit!

@glaswasser 3 жыл бұрын

anyway, your explanation is actually pretty good. After covering my ears I kind of understood why I should use mixed models in my analysis.

@pavloszournatzidis Жыл бұрын

Can I ask, if I follow-up a cohort longitudinally, is there any assumption about the time points participants have been assessed? For instance, can I only use assessment in time 1 and time 2 to predict an outcome variable in time 3?

@QuantPsych Жыл бұрын

You'd use Time as a predictor (1, 2, or 3) to predict the outcome.

@eboamuah6811 Жыл бұрын

Hi, Anytime i add the level 2 variables, I get a lower ICC. What is the problem or how do I interpret that?

@adityaupadhyaya6441 Жыл бұрын

Do you have a video on Multinomial mixed effects model as I have a response with 4 levels? Thank you

@QuantPsych Жыл бұрын

This is the closest I have: kzfaq.info/get/bejne/j9eWbJShteDPhWg.html

@larifarycharis5312 3 ай бұрын

Damn you are good! Thank you a thousand times!!!

@johnn6668 Жыл бұрын

Hi Quant Psych, really appreciate this video. Would it be possible to get your hospital example data?

@QuantPsych Жыл бұрын

quantpsych.net/data/hospital.csv

@johnn6668 Жыл бұрын

@@QuantPsych Thank you very much for the data!

@EdoardoMarcora 2 жыл бұрын

Do you have a video explaining what i.i.d. means?

@Rictoo Жыл бұрын

How is a random-effects model different to a fixed-effects model with interactions (between the covariate and category)?

@Sinyorimparatore Жыл бұрын

Is there a text book that basically describes all of this so I can reference m?

@cathilynmcintosh7544 Ай бұрын

when you say cluster, I am assuming that you mean a variable, Ie every column. so a cluster would be the doctor column and the patient number column?

@anne-katherine1169 2 ай бұрын

Hi there! I'm stuck on calculating needed sample size for mixed models I'm planning - is it me or is it a mess? I was hoping I'd find papers with like, explanations, tutorials, whatever - anything I can read, understand and try out. But instead I only find very theoretical papers? If you have any advice or references or so, they'd be suuper welcome.

@QuantPsych 2 ай бұрын

It really sucks to calculate sample sizes for mixed models. As I recall there was a textbook written by Diggle. Maybe try googling "Diggle longitudinal power caluation." Last time I had to do it, I used the longpower package in R.

@anne-katherine1169 2 ай бұрын

@@QuantPsych hey, thank you! I saw that most people do simulations, which takes ages (I thought my computer is ok, but for this it is not powerful enough I guess), but then I found an app/ website by Oscar Olvera Astivia. For future reference 😊

@anne-katherine1169 2 ай бұрын

@@QuantPsych and I will look up the book anyway! Thanks again 🙌

@Daniel-ve8oi 3 ай бұрын

I wonder if there's a difference between mixed models and the ANCOVA. I thought the ANCOVA does exactly the same: testing whether 1) there's a significant relationship between two numerical variables, and 2) whether the intercepts of these relationships differs significantly for different factors?!

@MrJegerjeg Жыл бұрын

If you don't have that many observations in your dataset, wouldn't you come across with some issues if you divide your data into groups? I can imagine that the worst case scenario would be ending up with only two observations per group.

@avnistar2703 2 жыл бұрын

Great video. I want to ask about how linear mixed models handle missing data? Can it handle missing data on the predictor/covariate level or the response level? Or both? Or only the response level?

@QuantPsych 2 жыл бұрын

There's some nuance to the answer. If an entire wave of measurements is missing, that's no big deal for mixed models. (It's considered MAR or missing at random). If some are missing from a wave, but not others, it will not handle it without some additional missing data strategy (e.g., multiple imputation).

@yunusnaseri7155 Жыл бұрын

A point that I would appreciate if anyone could help me understand; my understanding is that the data points within a cluster are independent with respect to other data points within the same cluster and that is why we can fit a regression model (that has independence assumption) within a single cluster. However, the data points within a cluster are not independent with respect to data points in other clusters and that is why we cannot fit a single regression model (that has the independence assumption) across clusters. Can someone please tell me if my understanding is correct? Thanks!

@OskarBienko Жыл бұрын

You're wrong - daa within a cluster is always dependent, e. g. a group of patients which visit the very same doctor.

@josiahparry Жыл бұрын

yo this video bumps

@josiahparry Жыл бұрын

also, what is your ggplot theme its so cute

@mohammedalsahli1273 Жыл бұрын

👍👍👍👍

@chaoh2258 Жыл бұрын

At 11:10, I guess it should be "normally you don't want to fix an intercept..." At 15:26: "it could be a fixed intercept model..."

@QuantPsych Жыл бұрын

Yes, you're right :)

@salomeleclercq1272 2 жыл бұрын

Why do you ask him to stop screaming ? It wakes me up when I'm at work

@m.cd.3975 Жыл бұрын

Are you related to the Mathantics videos guy?

@jaychoi4174 2 ай бұрын

He throws many new concepts and said dont worry? Is that a good explanation?

@QuantPsych 2 ай бұрын

Seriously! This guy's an idiot!

@Break_down1 Ай бұрын

1:04..or maybe we measure people who share the same gender. Why can’t I see a clear reason that “gender” is not a common candidate for nesting variable (ie people usually just control for it), but classroom always is?

@QuantPsych Ай бұрын

With gender we generally exhaust the categories we're interested (e.g., male, female, nonbinary). With classrooms we do not because we can't possibly sample all classrooms out there.

@ajaydhungana1921 2 жыл бұрын

Sir,...can you make a small video with dataset example on how REML works to find variance components ..for. eg. y= a+b+e a and b being random effect.

@akramxxx 2 жыл бұрын

Hello, does anyone here knows how to analyze such model in python when you want to predict a binary variable?

@stephenclark9917 Жыл бұрын

Calm down!

@QuantPsych Жыл бұрын

@glaswasser 3 жыл бұрын

stop screaming at me bro

@pianofortissima4410 Ай бұрын

Why does he shout the whole time? 😮

@dle3528 Жыл бұрын

Watching this video, I felt miss a boring class. In my opinion, your classes are good, however, the exaggerations in the jokes are bad. I suggest decreasing it and your classes will be better!

@Zirea.eya69 2 жыл бұрын

Stop screaming

@QuantPsych 2 жыл бұрын

My channel, my rules.

@ciancian2861 2 жыл бұрын

why are u screaming at the camera? so annoying. have some self respect and make a proper video.

@TheTofA123 2 жыл бұрын

… Turn your sound down if you don’t like it. These videos are great!

@isabellaghement9442 2 жыл бұрын

My god - the presentation style is so distracting. Do we really need all the overacting and overplaying? It hurts my brain to try and pain attention to this. Please consider that different learners have different needs - this style is off putting to learners like me.

@QuantPsych 2 жыл бұрын

Then I say to learners like you...don't watch my videos. Find someone who fits your learning style. (That's far easier than for me to change my teaching style).