Відео

For discrimination index of a test or likert scale as calculated in this video, You may use the reference table given by Ebel and Frisbie, 1986 for selecting and rejecting an item. For manual calculation of item analysis using the basic formula incorporating RU, RL, N for both item discrimination and item difficulty. You may use the criteria for accepting or rejecting an item given by Noll (1965). Discrimination index using t- Test you may simply use t-table for selecting and rejecting the item.

Which pdf you want?

By the same method no matter how large is the sample, method remains the same

Yes. If p value is less than 0.05 then the null hypothesis is rejected, it means that the data is not normally distributed. The alternate hypothesis will be accepted which state that data is significantly different from the normal distribution

I chop p value at 0.05, not alpha. p value is probability of error

Thank you!

Alright. Will make one in the near future

It can be done using the similar method. Just columns in your datasheet will be more

It is a hypothetical data. You may use real data

Glad it helped

Which two?

Could you please write in English?

Go ahead. No need to delete items as values are just slightly above 0.8

It is a researcher's decision whether to continue with some outliers or not. So auto outliers removal is not a good choice. Researcher should remove outliers one or maximum 2 at a time and re-run analysis. Removing multiple outliers at the same time is not a good idea. Hope this helps.

Yes

Thanks for watching

I will upload a video on that, but as of now you can watch video of any other creator. It is easy to calculate

I will cover that in a separate video. But there are screen cast videos available on UA-cam.

Yes. And outliers can also deviate mean and standard deviation resulting in an erroneous inference.

For numerical problem, you can use item difficulty index

And for descriptive questions, this method is not applicable. You can try other qualitative methods. Content validity ratio (CVR) can be calculated for descriptive questions validation

27% of 125 is 33.75. You can take 34 respondents in upper and 34 respondents in lower group.

Thank you so much🙏💐

For diactomus data 0-1 can use well for discrimination index. As you shown. But I maintained that i will use likert scale but I'm using now diactomus.

Hi, You can use the same procedure that I have used. 3 point Likert scale as you have mentioned can be considered as continuous. Hope this helps. -Shivanand

Yes. Corrected item total correlation can be applied. No idea about the book. I haven't referred it so far. Thanks for watching

@@ShivanandThorat thank you for the prompt response sir. Can I mail you if I face any further problem regarding the same?

@@vandanadaksh6619 sure. shivanandthorat.yt@gmail.com

Please watch this video: ua-cam.com/video/2BoubhXcj6Q/v-deo.html

Thanks

Please check my data has headers option while doing data analysis. Try to have only first row as header. From the second row, numbers should start. Hope this helps.

Hi Mohsen, I am will upload more videos shortly. There is one workshop with Royal College, you can find it by searching my name Shivanand Thorat and add Royal College next to it in the search. On day 1 of the workshop, I have covered most of the options in data analysis using Excel.

I am glad it helped you. Thank you for watching, subscribe the channel if you find content helpful

Thanks for watching. Consider subscribing the channel if you find content helpful.

Sir kay aree 😆

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