Be advised the equation that you presented for the 1PL and 2PL models, Y = a*theta - b, is not accurate. The correct model distributes the discrimination parameter across the deviate, i.e., Y = a(theta - b). The logit now become a*theta + c, where c = -a*b. Notwithstanding the aforementioned, I thought it was a good presentation.
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Brilliant summary. So many thanks
도밤님 재미있어요
What Statistical program do you use to tabulate the data? (Minitab, SPSS, etc) Great presentation by the way. Thanks!
Be advised the equation that you presented for the 1PL and 2PL models, Y = a*theta - b, is not accurate. The correct model distributes the discrimination parameter across the deviate, i.e., Y = a(theta - b). The logit now become a*theta + c, where c = -a*b. Notwithstanding the aforementioned, I thought it was a good presentation.
Really your presentation is good ,thank you!
Great presentation, thanks for uploading!
How to get difficulty value?
Good presentation but video too lenty and thus can affect understanding
Wow... British students clap when their professor finishes
Item response theory