Do you tutor?

Hi thks for the great video, just wanted to ask if my infit an outfit results shows a misfitting question that was removed and improved overall measurement productivity should i be doing the PCAR both before and after the misfitting question was removed to determine if its the cause of eigenvalue>2 for the 1st contrast?

Thank you

Thanks a million I finally got something out of it after years of confusion

Thank you for the video! I have a question: I want to use the JMLE measure scores for each student in subsequent analysis, and the person stats (Table 6) output stats for only half of the students in my case. I am wondering why the Table 6 cannot output all the cases?

this was very helpful! thank you so much 🥰

This is gold! Thank you!

thanks for this. very clear. cheers from a romanian studying in the Netherlands :)

First comment

Thanks

Thank you very much for that incredible video!! very helpful !

This is amazing, thank you so much!!!!

Thank you so much

what stupidity is this.

Great Video! I’m studying for my bachelor’s in psychology right now and I didn’t really get what the fuss was all about with IRT, but you made me go ‚oh wow‘ three times in just 10 minutes. Thank u :)

como puedo poner el rpograma coebbok en espanol?

Thank you🙏 for uploading

Thank you for the comprehensive explanation! Scale validation is a dense subect, I am glad there are resources like this lecture to help us make sense of things.

Very helpful! Even if my native language is not English.

Can i ask u sir, what is the meaning of factors below covariets. Thx u

Thanks for the great video. Is the Bond & Fox Reference this one? My eigenvalue is slightly above 2. I have a short survey scale with 16 items. So this reference is helpful to make my argument.

thanks, both adding clarity and covering a broad area.... 🙂

Really helpful vid! should get way more views thanks courtney!

Very helpful! Thank you!

Thank you!

Thank you for clear explanation. Residual SD in JASP is calculated from Total df. To my understanding, it should be calculated from Residual df instead. Correct me if i'm wrong. thanks.

Dude w t f , how to decide the categories

This video was super helpful! May I ask you why you coded class membership the way you did? Im currently using logistic regression in a research project that asks about practitioner responses given varying company practices and for each practice there are 4 variations. So for example, a question about dosage starts at 10, then 20, 30, and 40. Im playing with a hypothetical data set right now and I code those predictors as 1,2,3,4. I guess im asking if i should be coding them the way you did? would that make a difference in the analysis?

Muchas gracias por la explicación.

Super useful, thanks!

Thank you! Quick and informativ

for me I am the first to study this distribution. So effect size doesn't exist. So it seems I cannot estimate the power of my hypothesis test. Right? (using p-values/t-test)

I don't get it. How do you compute power BEFORE you do the study? I cannot compute p-values for example without my data (since I can't compute the mean). Therefore, how do I actually compute the power before the study starts (before I collect data)? Is it just with simulated data and then using that and estimates of the means, stds, guess a sample size that is needed?

Many thanks from Uganda-East Africa

What should you do if you have multiple codes being applied to a response?

Absolutely the best! Please keep it up. Thank you!

Very clear and compact explanation. Thanks.

This was very helpful. Thank you

very well explained, thank you

💗💗💗💗

Thank you so much

Hi, could I ask if forced choice questions (whether A is better or B is better) would affect internal validity (since the participant might not be able to choose other options which he feels more inclined to)

Hi Courtney, I recently shared your video with a statistics class that I'm currently taking because your explanation of the concepts is very good! However, I was told by my professor that in 6 minutes 13 seconds of the video the effect size of ANOVA use eta was indicated, but it should be eta squared. Again, your explanation of the concepts impacted my understanding to the degree that I shared the video with my class! Therefore, great job and thank you for the clarity of the concepts!!!

@CourtneyDonovan - is #3, homoscedacity - for every given X meant to be 0? Is there a word missing?

Thanks for the helpful video!!

Thank you!! I learned very much!! I have question...you showed one slide item range, -2.5 to 3 (range 5.5 logit) is very good!! why very good?? I want to know criterion the range in the maps!! I will wait your answer!! Thanks again!!

Thank you. However, I believe the column 5.1 is not fully correct.

This is freaking genius!!! I wish I had discovered this video along time ago!!

This helped me alot, thanxs! thumps up!

Firstly, thnx for uploading such a simple and succinct video explaining what parallel analysis is...However, I do have a qst. In the fictitious data, you say that mean values are counted as eigen values to be compared to PCA eigen values. But, in the excel table (2:45 mins.), the values you wrote under the "parallel" heading match with neither mean values nor prcntyle values in the syntax file (1:49 mins.). Why is that so?