Відео

Love it! Thanks so much! 🙌

You caught a rare one, thanks for sharing!!

😮

I was there

The sound mix on this is wayyy too low

7:50

Thank you Sir 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏

Very super dear all great thanks for sweet good dreams 🙏 🍎 🐓🐓🐓🐓🐓🐓🐓🐓🐔🐔🐔🐔🐔🐔🐔🐔🐔🐔🍓🍓🍅🍅🍑🍏🍐🥦🌼🥒🥒🍎🍎🍇🥭🌽🍊🌻🌻🌻🌻🐤🐥🥬🦅🦅🍈🍒🌻🌻🥬🥬🐥🐤🐣🐔🐔🐔🐔🐔🐓🐓🐓🐓🍊🌽🍇🍎🥒🌼🍏🍏🍅🍓🍓🍅🍌🍋🍋🍋🍋🥦🙏

outcome = availabilityoftraining > 0 predicts data perfectly what does this mean??????

good presenation. Thankyou.

this is helping me pass my introduction to pol sci class thanks king

My union is going to hold a vote on setting up a merit system in a month. A representative was going around trying to explain it to us today but didn't do a good job of explaining it or it's pros and cons. Ty for this video. This was far more informative.

Lol you're admitted based on academic qualifications? Maybe it's different for the humanities, but at least in STEM fields the interviews are VERY similar to a lot of industry jobs. At Google for data science jobs they ask you calculus questions lol. It's not some magical fine line. They *interview* you they expect prior research work experience, often in lab tech positions that are paid and considered employees. As a graduate student you are usually "above" these "genuine employees" in terms of heiarchy. It's also interesting because I think there are more benefits to students in the humanities, but the arguments against unionization sound even more silly when you realize how they don't even apply to all grad students. Like taking classes? Not really a thing. You literally do all the things that techs, postdocs, and other "real" employees are doing and you do an equal portion, often with more experience than some of the "employees." Also if it's about training...the NIH considers postdocs trainees, but they can unionize...so where is the distinction? Most PhDs in STEM also don't even go into academia (in part because how horribly they are usually treated/overworked) and when they do many don't even teach. So, again...the arguments against just sound stupid. It's also worth noting PhD length is highly variable by field. In my field, many programs do not allow a 4 year PhD at all. 5 is the bare minimum, typical lengths are about 6.5 years, with 7 and even 8 not being uncommon.

buddy please learn to speak before making these videos

Great video, thank you very much! very detailed and beneficial, much appreciated

I need this for our reporting 😭

what is [pw=gssw] ?

Thank you for your insightful content. It's been very helpful and concise.

thank you

Good one. Well done 👍

what is the difference in code when calculating odds ratio vs. adjusted odds ratio full model?

Do you have sample of policy analysis report?

Dear Sir, Can you share the dataset using in this demonstration

Thank you for this helpful video :) can you explain how to run a boxtidwell test on the logistic regression? I’d be really grateful !!

This is a very refreshing tutorial.

Superb!

THANK YOU!

Thank you very much! Very useful video!

Thank you so much, 5 years later and i still get to benefit:) you have melted my fear for logistic regression:)

Thank you so much for the informative video

I hope Dominic doesn't mind my strong language, but what a load of horsecrap are these "against" arguments, aren't they? Virtually any highly-qualified job involves a ton of on-the-job training, and yes, exactly, many (esp. STEM) PhD students go into research firms, for which tasks like teaching undergraduates can scarcely be called "training." Academic performance is also considered a major qualifier for most jobs (this is its intended purpose. Why did that one dissenter on the board go to college, assuming that he did?). And then, what does the University actually provide to the Graduate Students? Yes, you learn a lot, but, in my experience, you mostly teach yourself. While doing tasks that get the University better stats, status, and money.

Sir thanks for explaining approaches to ethics better than my lecturer's way of explaining it. I look forward to watching more of your content in the near future.

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Really step-by-step and easy to understand

Thanks . It helps my class lecture.

This is the best content i could find about this topic. Are you considering putting any more quantitative methodology videos up?

Thanks a lot, Dominic!

Thank you very good explanation

Thank you so much very useful to my thesis! One question though, is there any way of getting stata to give us the differences at 37:00? I reckon it could be a good idea to plot the diff too. Have a good day sir

Thank you sooo much!

That's not how it works. As a freshman in high school, I can assure you that these memes are fucking awful. They're not memes. I don't understand why fucking troglodytes like you think that plastering what you want out of students in instant font will be beneficial. Look up r/deepfriedmemes to see what good memes look like. Millenials don't find cringeworthy Facebook memes comedic in any way.

Hi Dominic, Do you have any idea how to do the Blinder-Oaxaca Decomposition in Stata?

Quick Question: The margins plot you explain at 27 minutes, is it equivalent of an interaction term between age and education?

What is "pw=gssw" all about?

Anyone got the answers for Chapter 10 exercises?

Could you provide us this dataset?

Dominic, thank you very much! It really helped me.

Thank you for sharing. This is such a challenging concept to grasp.

thank you very much i can found it veryhelpfull

set more off