Chi-Square analysis on SPSS

[@scentofstrawberry]

Why can't more stats teachers be like you?? Our teachers barely tell us anything and expect that we should have knowledge at an expert level. They give us so much anxiety! Thank you to brilliant teachers like you who actually make our lives easier.

[@jetKoable]

This is the best and simplest explanation I've heard so far, wonderful. Thank you!

[@kaulpelly]

Excellent stuff. I've watched a few of your other videos and its nice and clear and to the point. Thanks

[@headlesshorsey]

Very useful video. Clear and to the point. Just what i needed:)

[@luvie888]

genius! very easy to understand! greatest explanation ever!

[@kel00lel00]

Thank-you so much, I can't tell you how much this has helped me! :)

[@linkman54321]

exactly what i was looking for. liked and subscribed. great videos

[@osagumwero]

Very Lovely and concise explanation... Thanks a whole lot

[@lauracowan3539]

Really useful, simple video that explains it really well, thankyou

[@solongo7]

Thank you for your video. I hope to see more videos from you on multiple linear regression, logistics regression, non-parametric methods etc

[@09yachiru]

OMG thank you so much with this tutorial you help me so much thanks for upload this with simple indicatons ^^

[@scottlandholm3981]

Thanks. That was short and sweet. Well done.

[@boatfob]

you are a bloody genius, thanks muchly

[@MarianaSKepNs-kr6nq]

hy...this is very good ...and very easy for me to understand

[@MegaNiceguy78]

Bro... You are my saviour.... I love you

[@therachelschrader]

Thank you! Great video, and lovely accent.

[@gerardbourke1497]

BMI would be a continuous variable, so no chi-square would not be appropriate.
The test you depends on on your other variables. If they are all continuous, then a regression is what you need, if they are all categorical then you can use an ANOVA, if you have a mix you can use some types of multiple regression (I use multinomial reg. a lot). All depends on your data..

[@RobertThomson]

Fantastic...very clear! Very helpful.

[@BrBilal]

Excellent Video!

[@y.christodoulou]

Thank you! This really helped me to do my project

[@GH123XL]

Hello, the thing which I do not understand: (a). MUST we have all categorical variables coded with 0 and 1 to be able to run with chi square? (b). Which chi square should I use, the crosstabs or the Npar chi square?

[@25ax]

Should you do "aggregation" and only after that go to "Chi square test " , because my instructor had always told me that in any Chi square test, we had to use AGGREGATE function ???

[@toyinakpan5921]

Thanks...very simply explained

[@ThaPingu]

Isnt chi2 only for binary variables and onterwise you use t test?

[@KrishnaSeebaluck]

ur video is gr8. Just wanted to ask u, how can i calculate the association between BMI and 4 other variables plz? is it possible to do it using chi square?

[@onhech]

What is the difference between the "Analyze>Descriptive Statistics> Cross-tabs" and "Analyze>Non-Parametric Tests>Legacy Dialogs>Chi-Squared..."? They give your drastically different results. Any help would be appreciated.

[@hypez2]

w=is there any difference if there is more than one variable? would i put for example 3 tables in my report

[@perrymason1172]

Hello, how can you see the differences in significance between groups of a categorical variable, if one variable has two categories, and another variable has three categories, for instance?
If the Chi Square statistic is significant (p = .048), yet the standardised residuals (z statistic) lie within + or - 1.96 (p < .05), how can statistical significance be discerned in this case?
Many thanks in advance.

[@buseniko]

Thank you, nice explanation!

[@psricc]

Hello, Do you think this will work a Likert Scale when using gender- nominal vs. likert scale items-ordinal?

[@marilouchondrogianni2159]

Very helpfull video! thanks a lot!!!

[@tomgoist1818]

What does the data entry look like???

[@zabranca]

You're the man!

[@dahliahamid3890]

thank you very much for your help.....

[@jessicaoffor8841]

QUESTION: So if I have a chi-square result of x(2)=7.908, df, 2, P=0.019 is my P-value significant? It's less than 0.05, so I'm assuming it's not significant. So what exactly does that mean if its significant or not?

[@jessicaoffor8841]

Wait, after some more reading a P-value of 0.019 would be considered significant due to it being less than .05, right? Because that means there is a greater probability that my alternative hypothesis is correct? Am I understanding this right?

[@rachelrosengard951]

Jesska-Ann Sandison yes. you WANT lower p-values if you are trying to show that something is significant.

[@jessicaoffor8841]

Ah, thank you Rachel!

[@jessicaoffor8841]

Yes because 20% is 0.2 which is higher than 0.05.. You fail to reject the null hypothesis

[@sthandwandlo]

If it is less than 0.05 it is not significant. Therefore, there is no relationship.

[@koolann001]

this videowas very helpful...

[@seagers_studio]

thanks for this mate

[@zubairso]

can you plz tell me that if we are given a very large data on what basis can we determine the variables to be tested by chi-square and how do we interpret the obtained result? I hav an spss exam tomorrow so plz help me ;-(

[@Vaeuca]

Simple & Useful

[@gerardbourke1497]

if your p value is less than your alpha (usually 0.05) then yes, it is significant

[@Artyom109Zinchenko]

Thank you!

[@CapitanoLoco]

Nice thanks!!

[@HaiiHun]

Thanks so much!!

[@phoebecor-oyen220]

great thanks!

[@yazzybabii19]

Very helpful

[@cryingangel88]

Great thanks! :)

[@FxNitr0]

damn i was looking. How to find the critical value using SPSS

[@guneman77]

Thanks

[@battleroyal4569]

thank you

[@adil070707]

Thanks...

[@OceanDeep01]

great thank you :)

[@wichipirichi]

vale sssss

[@javaiddar6930]

NO this is not statistically significant... p value needs to be more than 0.05 at 95% level of significance.

[@emadnadi152]

You should've started your vide explaining your data first.