Видео

Simple and concise...

Thank you. How do I write out the value (coefficient) for the value? I.e., what is the "symbol" to use? The Pearson correlation coefficient would be "r" for example. But what is the equivalent for this test? I need to know for a publication.

Thanks, it helps me alot

Thank you !!!! I struggled this for so long !!! Helpful !!!

THANK YOU :')

why u didnt show variable view, i really confused !

Thanks a lot !

thank you so much that was really helpful

Thanks a ton, saves a lot of time :)

U r the man

I love you so much

Really helped!

thx !

Thank you so much! Saved me lots of headache! Simple, short & to the point!

Thank you for the nice video. What if more than 25% of the cells have expected value smaller than 5? Can I use the linear to linear value, or do I have to run another test?

Thanks so much!

Thank you!! I struggled for an hour or so trying to sort out this problem and you solved it for me in <2:43 :D

you can also change to variable view and change by clicking string and choosing numeric etc

YOU'RE MY HERO!!!!

How does a cross-tab table differ from a frequency distribution ?

Thank u. its very useful

Greetings video of 2010. I am from the far off year of 2014. This does not work for me. Help plz

that was super helpful! thanks... i spent so much time searching for this... what the... hahaha..u made my day

You are awesome. This is exactly what I wanted. Spent a long time looking for a guide like this. Thank you

Thank you!

Thank you!! Yay!!! I finally got it!!!!

lol, do you really need to "convert" for just one variable? i think u can do this manually in main interface.. tell me how to do that stuff with 100 variables ;)

Thanks for sharing. However, I have 2 questions. 1. Why is it that, sometimes when you go into Variable view and change the variable type from string to numeric, all of the data disappears? Why does this happen? 2. Does this work only by recoding 'into the same variable'? I was always trying to do this by recoding into a different variable. Thanks!