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Karon F. Cook
เข้าร่วมเมื่อ 12 ก.ค. 2006
A Conceptual Introduction to Item Response Theory: Part 1. The Logic of IRT Scoring
This is the first in a series of 6 modules that introduces item response theory (IRT). In it the differences in IRT and classical approaches are introduced, specifically the differences in their scoring logics.
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A Conceptual Introduction to Item Response Theory: Part 5. IRT Information
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Part 5 introduces the idea of IRT information. Information is the analogue of reliability in classical test theory, but it has some important advantages.
A Conceptual Introduction to Item Response Theory: Part 3. Plotting Along
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This is the 3rd of the 6 part series. In it, we examine how item responses are related to person and item characteristics.
A Conceptual Introduction to Item Response Theory: Part 6. Applications of IRT
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This is the last of the 6 part module and it describes applications of IRT including: 1) scale selection and development, 2) calibrating different scales to a common metric, and 3) computer adaptive testing
A Conceptual Introduction to Item Response Theory: Part 4. Understanding Item Parameters
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This is the 4th module in the series. It introduces item difficulty and describes how these item characteristics affect the probabilities of item responses
A Conceptual Introduction to Item Response Theory: Part 2. IRT Is a Probability Model
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Part 2 of this series describes in what sense IRT is a model. In this case the model is a mathematical equation. The components of the most basic IRT model are explained to show how IRT models probability.
You are of no use to me
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This film has been entered into the 2011 APS Film Festival from the Association for Psychological Science at www.psychologicalscience.org.
Thank God for you, Dr Cook! I need to write a listening exam for overseas students studying English in Australia and have spent the last hour yelling at confusing videos. But I believe you can save me!
Something that is not explained is where does the latent variable come from. From my understanding it is based on the rescaling of the sum of the items.
Nice doggos.
I love it... Nice job
genuinely amazing teaching! i love how you explain it
Would be good to hear the possible causes of the randomness implied by the model. Surely, for any given person, there is no uncertainty on whether they can touch their earlobe, they either can or cannot. Thus, if our model was a complete description of the person's ability, it would deterministically predict the outcome. Thus, I assume that here we concede to the idea that Rasch model is not a complete description of the person's ability. It would be interesting to learn how much of real world information is sacrificed in order to adhere to the rules of this model, and whether it is possible to do better with the data at hand
thats a pull up not a chin up
Thank yo so much, for explaining IRT so easily.
This episode should really have been titled a fish called depression.
Great presentation....Too many examples of pain!!!
a rare example of accessible psychometric terminology, indeed it is and so are your videos. thank you.
Thank you. Great and simple explanation.
Great your best methods. Thanks a lot.. I need more examples to practice more IRT with RASCH MODELS.
Thank you so much for this playlist. On CAT, when someone gets a wrong answer, is the next question is "1 degree" lower in difficulty, or it "jumps" a few degrees down in order to save time/questions to determine the test-taker score?
Thanks Karon that was a real pleasure! This is an excellent example of how to convey this kind of material in an engaging and easily digestible way that I also found to have a very kind and pleasant tone, like you want us to learn way more than you want to show us how smart you are 🤙🏼 low-ego teaching! Thanks again 🙋🏻♂️
This series have been really helpful. You said in one of the videos you were planning on expand the content, I'd be very happy if you do :) Would it be also possible to make videos about the mathematics and equations involved? I think in your style of explaining it would be so much easier to understand it.
It is not very clear that how you transfer responses (very low-very high) to logit.
There should be 'haha' react here
Thank you!
Thank you for putting together this excellent set of presentations.
I ran into some statistical issues with my PhD thesis and I need the basics for IRT so I'm really grateful for these vids, they made my day, yaay :) (Also: Median probability)
For plotting VH you should take another item ... Touching earlobe is not difficult item which can decide the high function of shoulder
These videos definitely need to be watched more than once..I got so much great "information" :) watching the first time, but im going over again and the light bulb keeps getting brighter! Thanks so much for these!
2:13 😂😂😂
This was extremely helpful! Thank you very much for the excellent explanation!
Excellent presentation and animation on a challenging topic! Thank you for sharing this module.
very helpful. god bless you.
wowww ... this must be an eye opener for using stat with no sense. Congrats!
Thanks for posting these. Great music!
I wish my teachers watched your videos to just get inspired and learn how to teach. thank you. seriously you are the best. <3
Just sat through all six of the videos. VERY HELPFUL. Graphics and examples are great and help with the learning. Humor is much appreciated too! :-) THANK YOU for making these available!
Very helpful. Thank you!
Thanks for posting this lecture. It is well-recorded (specifically audio) and is well-taught.
Love the presentation (your unexpected remarks are hilarious), it's incredibly helpful to learn the overview of IRT!
Could IRT work with a scale that looks at psychological well being? I am working on a project that requires me to figure out how to adapt the Schwartz Outcome Scale-10 from English to Punjabi. Each item on this scale is given a Likert Rating scale from 0 to 6 and probes at an individual's overall well-being in the past two weeks. Each participant being administered this scale could be feeling "differently" than the others. So how does IRT work with more abstract, hard to quantitatively measure topics such as psychological well-being?
thanks Karon - this is a great series for students :)
This is still one of my favorite videos. Thank you Karon!
Very helpful for beginners like me! Thank you so much Karon.
Hey man, this is great! Can you share what literature did you use for IRT?
Thank you do much for your clear and funny explanation. You made IRT kinda fun!
I know this has been 6 years ago, but a series on differential item functioning would be useful as well.
Super useful and really intuitive. Thanks for sharing, really appreciate it. I would love some more maths and examples if you have them.
thanks bro..
Very good series on IRT....Very helpful to give a starting point
The 7 dislikers don't deserve a place on planet earth.
Great help thanks!
very interesting theory
This video was great. I'm watching this now as a first-year doctoral student and the examples, images, and explanations have been very helpful
Amazing, amazing videos! ❤
Thank you for explaining this conceptually without the math!!! :)