Multilevel modeling using STATA (updated 2/9/18)

This video provides an introduction to using STATA to carry out several multi-level models, where you have level 1 and level 2 predictors of a level 1 outcome variable. The video begins with a random intercept model and concludes with a model incorporating Level 1 and Level 2 predictors, along with varying intercepts and slopes. Some discussion of cross-level interaction is provided.
Data for this video can be downloaded at: drive.google.com/file/d/1TpvK...
The Excel calculator for computing significance tests for variance components can be downloaded here:
drive.google.com/file/d/1LY-u...
You can also download the notes I go over here: drive.google.com/file/d/1Ods4...
DEAR VIEWERS: I HAVE RECENTLY UPLOADED A MORE UP-TO-DATE (and higher quality) VIDEO ON MULTILEVEL MODELING USING STATA HERE (2020 VIDEO): • Multilevel regression ... . THAT VIDEO ALSO GOES INTO TESTING AND PROBING INTERACTION EFFECTS, AND UNDERNEATH THE VIDEO DESCRIPTION YOU WILL FIND LINKS TO THE DATA FILE AND A TEXT FILE CONTAINING COMMANDS. ONCE AGAIN, PLEASE CHECK OUT • Multilevel regression ...

[@indirakhadjieva2108]

Dear Dr.Crowson! Thank you for the invaluable insights and knowledge you shared in this video on multilevel hierarchical models. The clarity and depth of your explanation greatly enriched my understanding of this complex topic.

[@nicky103131]

This is the most straight forward video for me, after watching >10 of them... Thanks a lot!

[@jenniferrous3280]

Thank you for the detailed example walking through the progression. It helped me get closer to solving my question.

[@luisortizgervasi3820]

Congratulations, Mike. It seems excellent, very well-explained and clear, in my view. Many thanks for sharing.

[@claire2247]

Thank you Mike! I will not for anyone watching though, that you don't necessarily have to use the calculator he made in excel. If the confidence interval doesn't include zero, you can be fairly certain that the estimate is significant (95/100 times the estimate will fall in that range).

[@unigruppe7474]

Cheers! That is the most useful explanatory video about statistics I have ever watched!

[@meganendres7528]

This is the best walkthrough I have seen. I went through it step-by-step with my own data to learn it - awesome!

[@tanjamayer6469]

Thanks for your useful videos! I wish actually doing statistics with stata had been explained to me so vividly and clear in university.

[@allekoennentechnik]

Awesome video! Exactly what I needed, thank you!

[@leolele007]

Great video! To calculate p-values from estimate and standard error you can also use the following command instead of the calculator:

[@mcortinatoro]

Thank you very much for this video!

[@El_Pancho_Alvarez]

Amazing video. Thank you so much. Could you delve further into graphics for the residuals for the different models and how to graph the random slopes to see graphically if they are fading inwards or outwards?

[@Cuezaltzin]

Excellent lecture. Thank you.

[@mikecrowson2462]

DEAR VIEWERS: I HAVE RECENTLY UPLOADED A MORE UP-TO-DATE (and higher quality) VIDEO ON MULTILEVEL MODELING USING STATA HERE (2020 VIDEO):

[@shamsishekari2207]

Hi Mike, Thank you very much. I was wondering how you are calculating Z value and p values in your excel sheet. I couldn't find any straightforward formula for Z value. Essentially I am interested in your formulas in excel sheet. Thank you, Shamsi

[@asayealamneh4085]

Thank you very much for your kindly feedback, Mr. Mike Crowson, how can we check influential and outlier observations in the multilevel binary logistic regression model in Stata?

[@barkebille1]

Thank you for this video! I´m using STATA 15 myself, and I´m trying to figure out one question about mixed effects models, perhaps you can help me? If I run a mixed command with a continous dependent variable, one fixed dichotome predictor of the dependent variable and a fixed time variable, and on the right side of the || I add the id as random intercept and time as random slope. Now, my question is: This model is constructed with both fixed effects and random effects, but as far as I have understood, the results found in the fixed part of the outcome are the numbers which matters, as they give the information about the main effects? Since the model is run with random effects included, does this mean that the fixed effects have been adjusted for the randomly varying intercepts and slopes?

[@CalzOmon]

Thank you

[@ludovico86]

I really appreciate your videos. In uni I felt there is often a disconnect between the output and the theory, which you explain really well. Any chance of you taking on mixed effects logistic regression models?

[@strategicmanagement7406]

Thanks for the video. Wondering if you could post the calculator you have developed to test the significance of level variances for downloads. Thanks