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Thank you. You saved me

This is a very well elaborated, clear, and helpful video. thank you!

God bless you

How about when it is exactly 20%? My Pearson's is not statistically significant while my Linear-by-Linear is.

Makalanga bring me here😂😂😂😂

Paying for college classes to end up having to teach myself from another person to learn something the irony…. Thank you very much for this video it helped me a lot.

Just wanted to say you are incredibly awesome for making this video! Over a decade later and you're still impacting others. Thank you so much!

my problem was solved with this simple and instructive explanation. thank you.

Great lesson. Thank you 😊

Thank you

the lock 🔒 is not changing it still remains there wha to do

thanks for violating the assumption. Found no such videos

Thnkuuuuuuuu

What a video! Really appreciate it

Thanks

Hello , can you help me…😭😭😭 my value is yes(1), no(0), do not know(0)… as you can see the value same so i cannot put (0) twice but this question about knowledge thats why im not doing it in likert scale, it is more to right and wrong answer. So how i need to do in the spss?😭😭😭

Can I get the reference for 0.5 alpha value if items lower than 10?

Thank you! Very helpful!

Thank you very much!!!!!

Very helpful thank you.

you saved my life thanks

Thank you so much! Your video was very straightforward and concise and you saved me a lot of time and effort <3

Thank Youuu

Seriously God made you for us we were on the edge of doing suicide due to pressue from our supervisor you saved us you deserve noble prize literally 11 years ago I would have never thought that you would have such a help I love you no no no my 4 friends also love you you are a true being thank you❤️😘😘❤️

Thanks for the quite explanatory video. Please, I do have a question: under item-total statistics, subsection "corrected item-total correlation, if item in the scale is a reverse of the construct, can the digit be lesser than 0.40?

Thank you for the video, it's very easy to follow. I have tried to use the same 'style' in my book 'From Data to Insights: A Beginner's Guide to Cross-Tabulation Analysis' which will be published in July (2024) with Routledge. Perhaps it might interest you. Regards.

and I'm here 10 years later!

Great job, more grease to your elbows.

i could kiss you on the mouth for this video

THANKS ALOT ....it was helpful

Thank You Soo Much Literally saved my Internship

So basically, if the 20% rule is violated, we take likelihood instead of pearson as the p-value?

So basically, if the 20% rule is violated, we take likelihood instead of pearson as the p-value?

what can I do if the 20% is violated?

By far one of the most easy to understand videos I've ever seen- think I learned more from this than the module I took!

thank you so much

Mam ..I have a question ...why in the value of idf there is one box missing ..I've checked my all the data of this scale but all boxes are filled and I also do this idf inverse again but still one box is empty ..mam can u plzz guide me about it

Thank you that made it so much clearer

Thank u🎉

Thank you for making me graduate this year

Love your video. Thank you so much for sharing! So why would you calculate 4 different means? Is it necessary in a real analysis world?

Thank you so much

👍🏾🙏🏾

Can we use the chi-square test between an ordinal data type and a nominal data type?

Explanation was clear and example was also relavant

Very helpful! Thank you

Thanks so much for this video, it was really helpful. I had a question regarding coding answers that are inapplicable. In my survey, some people wrote their nationality rather than their ethnicity. Under another question, "what year are you in? (University)", I have a variety of answers that do not apply, like the year they were born, the year they expect to graduate, the study program etc. How would I begin to code and define these values? Should I just code all of them with "99" for example, and define them as missing? Would appreciate any help I can get :)

hi dear Brunel, this an interesting lesson. but how laboratory based research raw data was interred and variables was defined in spss?????

Thank you so much for this straightforward explanation

How to calculate mean scores