I think this video misses one very important detail: the difference between a significant effect (in this case the female group) and the a nonsignificant effect (the male group) is not per se a significant difference of itself. So it is important to recognize that with this method, the three-way interaction is not directly tested but instead 2 two-way interactions are descriptively compared
7:40 (analysis chisquare) 8:38 (conclusion) I want to see if the usage of problem-focused coping (categorical/high/low) at stresslevels(categorical/high/low) differs between(categorical (1-0)/ musicians and non musicians. How do i crosstab and interpret the chisquare in 3 way?
This is an excellent how to video and immediately showed me what I was trying to find out. Nevertheless, you should consider using a better microphone or at least a Pop-filter and run the audio track through noise-reduction. Simple enough but would improve the audio by a lot :) Thank you very much for your work!
Hi. Thanks for this great effort. There are 3 values in spss output tables regarding crosstab procedure, first is Pearson chisquare value, second is likelihood ratio value, and third is Fisher's exact test value. Which value to choose and report? I noticed that Pearson chisquare value, and likelihood ratio value are always shown in any spss corsstab procedure regardless the number of rows and columns and regardless the violation or no violation of chisquare assumptions, while Fisher's exact test value is only shown when there is more than 2 by 2 table and there is a violation of chisquare assumptions?
Thank you so much for this video, the only one that explains how to do a chi square test on three categorical variables. But i still have a lot of questions: so the result doesn't necessarily mean there are no interactions among those three variables, right?
Thank you very much. So you compare gender just via the descriptive comparison of the significance-level. Is there a statistical test or way to compare the two chi-square tests?
I didnt understand this clearlt.plz help. I want to compare three variables together.so can I use this video for that.if yes what is the mesning of layer box
Great video! Thank you so much for your help! I am cross tabulating two multiple response questions. I have defined both of them under Analyze > Multiple Response > Define variable sets. When I want to perform a cross tabulation of both multiple response variables, it does not give you the option to select for a chi square test statistic as it does when you cross tabulate non-multiple response variables. Is there any test that can be done to produce a chi square statistic for a cross of two multiple response variables?
Helo... After test i got my output as Value=68.392a df=4 p=0 5 cells have expected count less than 5. Minimum expected count is 0.27....plz interpret the output
so wait, the p value showed that the female participation in protests was not effected by the interest in politics? EH?! or did you say the opposite? xD it was very hard to make the distinction for me in the way you told it. Clearly just by looking at the figures it is fairly obvious that it is more women going demonstrating when there are an interest in politics, compared to being not interested in politics..
I think there are only a handful of videos as lucid as this!! Kudos to the presenter!
Hats-off! a very excellent presentation, explained perfectly. Great job
Your voice is like honey! Thank you for the useful video and the enchanting presentation!
Thank you so much sir
You made my day
I think this video misses one very important detail: the difference between a significant effect (in this case the female group) and the a nonsignificant effect (the male group) is not per se a significant difference of itself. So it is important to recognize that with this method, the three-way interaction is not directly tested but instead 2 two-way interactions are descriptively compared
So how do i run a proper three-way interaction?
7:40 (analysis chisquare)
8:38 (conclusion)
I want to see if the usage of problem-focused coping (categorical/high/low) at stresslevels(categorical/high/low) differs between(categorical (1-0)/ musicians and non musicians. How do i crosstab and interpret the chisquare in 3 way?
Explained perfectly this is beyond helpful, thank you so much !
This is an excellent how to video and immediately showed me what I was trying to find out. Nevertheless, you should consider using a better microphone or at least a Pop-filter and run the audio track through noise-reduction. Simple enough but would improve the audio by a lot :) Thank you very much for your work!
Hi. Thanks for this great effort. There are 3 values in spss output tables regarding crosstab procedure, first is Pearson chisquare value, second is likelihood ratio value, and third is Fisher's exact test value. Which value to choose and report? I noticed that Pearson chisquare value, and likelihood ratio value are always shown in any spss corsstab procedure regardless the number of rows and columns and regardless the violation or no violation of chisquare assumptions, while Fisher's exact test value is only shown when there is more than 2 by 2 table and there is a violation of chisquare assumptions?
Good god this was incredibly helpful
Thank you so much for this video, the only one that explains how to do a chi square test on three categorical variables. But i still have a lot of questions: so the result doesn't necessarily mean there are no interactions among those three variables, right?
Thank you so much . This was extremely useful .
Thank you very much. So you compare gender just via the descriptive comparison of the significance-level. Is there a statistical test or way to compare the two chi-square tests?
But here the basic assumption for chi-square of having expected values greater than 5 is violated.How do you justify it?
Thank ypu so much, really usefull tutorial, saved my life. But i wanted to ask as well, where is the p value?
very helpful, thanks alot.. and lots of appreciations
The best!
What test to use for comparing ordinal by nominal variables?
thank you very much, this video was very helpful for me
if we want to make a correlation between ordinal and nominal data, what type of test i should use?
a really good, clear video thx
I didnt understand this clearlt.plz help. I want to compare three variables together.so can I use this video for that.if yes what is the mesning of layer box
Great video! Thank you so much for your help! I am cross tabulating two multiple response questions. I have defined both of them under Analyze > Multiple Response > Define variable sets. When I want to perform a cross tabulation of both multiple response variables, it does not give you the option to select for a chi square test statistic as it does when you cross tabulate non-multiple response variables. Is there any test that can be done to produce a chi square statistic for a cross of two multiple response variables?
Yes you can do that by going analyze->tables->define variable set and then again analyze->tables->custom tables where you can select chi square test
Helo... After test i got my output as
Value=68.392a df=4 p=0
5 cells have expected count less than 5. Minimum expected count is 0.27....plz interpret the output
how to read odds ratio for 3x2 table?
so wait, the p value showed that the female participation in protests was not effected by the interest in politics? EH?! or did you say the opposite? xD it was very hard to make the distinction for me in the way you told it. Clearly just by looking at the figures it is fairly obvious that it is more women going demonstrating when there are an interest in politics, compared to being not interested in politics..
Dont we sue the tables to see the critical value when doing 3 way cross tab chi square??
Looks like we dont... I'm running test over Fisher exact test, but i cannot see P-value anywhere :S