Missing Data Analysis: Multiple Imputation and Maximum Likelihood Methods

[@A0G7]

The inappropriate pictures cracked me up. It made me able to understand a thing I have been feeling board with since days. Keep going!

[@larissadahinden7517]

Love that video, I'm stuck in a dataset for my thesis and this was the right content and the right amount of seriousness today xD It reminds me of Andy Field who always gets sidetracked by cats while providing high quality help for SPSS :)

[@chawiwawie]

Missing data is often a sleeper subject! Glad you made it fun and neat to listen to. :^)

[@happycharisma]

Love it! Never laughed so much during studying statistics

[@migi7787]

I love that 10 bucks issue! You;re probably the best in teaching statistics so far, and I look forward to see more of your books, teaching, thanks for being here!

[@marianruiz4573]

Thank you so much!! I appreciate the comedy relief :))

[@rebeccayiu2401]

Thanks so much for the content!! golden.

[@HarmonicaTool]

CRAN says: Package ‘fifer’ was removed from the CRAN repository. Formerly available versions can be obtained from the archive. Archived on 2018-04-30 as requested by the maintainer Dustin Fife

[@QuantPsych]

You can install fifer through github, or it may be better to use flexplot (also through github).

[@reyanbakht1203]

Jokes may help some people to learn and memorize things better!Thanks

[@amanrastogi5184]

Please explain Expectation Maximization as well in some video. Good luck

[@gsm1410]

I like the content. I would like to ask, can we apply EM for missing value of secondary data (e.g., annual report)?

[@QuantPsych]

Yes, unless I'm misunderstanding your question.

[@elenao.857]

Hi! Only one quick question: why do we actually do Multiple Imputation if we can directly do Maximum Likelihood?

[@qianyunling8356]

Hi! How can we sign up for your classes? I am very interested in taking them (especially the one for maximum likelihood, thank you!)

[@barbarazw6360]

I want to use the Maximum Likelihood Method to estimate my missings to do a Confirmatory Factor Analysis on the Strengths and Difficulties Questionnaire. My question is, if i can include all participants with 1 to 5 missings per person? Or if it would be better just to include the participants with 1 missing to estimate its value? That means, is there a maximum number of missings per person, that can be estimated by maximum likelihood? Thank u!

[@QuantPsych]

It's going to be better to just include everyone, regardless of how many they're missing.

[@tomi_ade]

Explanation is clear but you really need to stop the jokes!

[@TheBjjninja]

Your datasets must be tiny if all of that can take three seconds

[@Faisalkhan-ce3dk]

I stopped watching this video at exactly 8:00.. i couldn't tolerate anymore. 😖😖😖

[@QuantPsych]

You probably should have stopped earlier. Statistics shouldn't make you cry.

[@Faisalkhan-ce3dk]

@@QuantPsych it was NOT statistics, it WAS your jokes and "over"acting.

[@seungjukim8202]

This was so disorganized as time went on I’m sorry-love your work-but lost me

[@riversisaacson8293]

Thanks for the information, but it would really improve the learning experience if you left out the comedy routine. It's distracting and not terribly funny.

[@QuantPsych]

Noted