Cannot thank you enough, not only for the incredibly informative & accessible information but for having a voice infinitely nicer & more comprehensible than the other videos available!
This video was by the most helpful one that I've watched. Literally have not understood this concept the whole semester until now and it was so easy. Thank you for posting!
Omg, I can't believe this. So I was looking for a tutorial about it and found this one done by Brunel University London, a place where I work. I even know the ASK office!!! Small world!!
COVID 19 FORECASTING VIDEOS : 1. ANALYSIS AND FORECASTING OF COVID-19 DATA (WHOLE WORLD) WITH SPSS ruclips.net/video/OuDRi2dcIsk/видео.html&ab_channel=VIDEOHUBB 2. ANALYSIS AND FORECASTING OF COVID-19 DATA ( INDIA ) WITH SPSS ruclips.net/video/j-0itdL0OEY/видео.html&ab_channel=VIDEOHUBB
You are a life saver. One thing I would have liked to know is how do you explain what the Chi square number actually means? We are always told not to just consider p values alone.
Great video, thank you for clarifying chi-square tests. One question: at around 4:10 you stated that we would "accept the alternative hypothesis." I thought we never accept any hypothesis, we either reject or do not reject the null?
it means the same. p value 0.035 is less than the alpha value 5% (0.05), thus, we reject the null hypothesis = we accept the alternative hypothesis. there is a statistically significant association between gender and smoking status.
thank you excellent video, quick question, at 2:53 you explained that the value needs to be below 20%, if it is more we should use a different approach, what does that mean, I am working on a project where my value is 83% in my chi square test,
Nice video. I'm new to SPSS. Can you elaborate on what alternative approaches one can take if more than 20% have expected counts less than 5, please. Thanks!
What if if we already have observed value cross tab , how to calculate expected values . If we dont have individual data just total summary count of observed values
Very useful, very well explained, thank you! But I do need to know what to do when the is less than 5. Where can I find explanations about the interpretation of the test in that case? Also, I encountered another problem. I am trying to determine if two independent groups (one studying painting, one studying music) is significantly different in terms of temperament. This made things more complicated I guess, because now one of my nominal variables has 4 values and the output of SPSS looks different - for example, I can no longer see the row of Fisher's exact test. Could you help?
+Yiu Chung Wong In case of small samples, Qui square is not good, and you must use Fisher's Exact Test. For our luck, this result is in the Chi-square's same table.
7 лет назад+5
You are right but Fisher's Exact Test can only be performed if we have a 2x2 contingency table. For example we have gender and smokers-nonsmokers like in the video. male-femal vs. smoker-nonsmoker is a 2x2 table so we can use also Fisher's Exact Test even if proportion exceed 20% but if we have gender and education with 3 options(like undergraduate, graduated, master student) that will be a 2x3 table and that time if proportion exceed 20% we cannot perform Fisher's Exact Test.
Urgent question: If the chisquare p value is less than 0.05. Does this also mean that there is a statistically significant differences between male and female in whether they smoke or not?
Very informative video ma'am. Thank you for sharing knowledge. I have one question though. Do we need to recode the categorical variables into binary coding - 0s and 1s?
i watched a few videos about this and you are the only one who said that chi square is used only for nominal variables.. what should we use for ordinal variables? or scale?
Good afternoon. This was a very short and meaningful video that has helped me understand the use of chi square. In my work I had over 20% cells with less than 5. So it violated it. What other way can I analyse it please?
Hi. Thanks for your great effort. There are 3 values in SPSS output tables regarding crosstab procedure, first is Pearson Chi square value, second is likelihood ratio value, and third is Fisher's exact test value. Which value to choose and report? I noticed that Pearson Chi square value, and likelihood ratio value are always shown in any SPSS crosstab procedure regardless the number of rows and columns and regardless the violation or no violation of Chi square assumptions, whereas Fisher's exact test value is only shown when there is more than 2 by 2 table and there is a violation of Chi square assumptions? Is my notice true or there is another rule behind that?
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.
how come there is a significant relationship? Based on the result p-value is greater than .005 that means there is no difference? please explain it to me... I am confused
I'd ask the same question... I suppose the point is the author used not a collected data, but she used a self-made database. And she was keeping in mind an idea, that ordinarily men are seemed to be smokers and women to be non-smokers. And she made the database self to prove this correlation. But something went wrong....
Hello, I hope someone can answer me. I just would like to ask when you already established that gender and smoker status have a correlation, how can you establish whether what gender smokes more than the other? Or which gender is more likely to smoke? I am having the same trouble with my own stats and I need to determine this. Thank you for anyone who can answer me.
So say I find that the Chi-square for one variable is significant, but the Chi-square for the other variable isn't - does this suggest a one-way dependency between the two variables? I.e. Variable "A" is dependent on variable B, but not the other way around?
all was ok, but i did not understand your last point, about Phi value? i calculated mine, in different study, it was 0.24, so is it in my study, X has moderate effect on Y, or what table you consulted for level of association of effect for two?
If I have the same variable in the same population (qualitative, like smoking habit: 1:yes 2:no 3: ex) and I want to see how it evolves on time (baseline-12 months-24 months) can I use Chi-Square?
This person taught this topic in 5 minutes and I fully understand, versus my 3 hour lecture by a Professor who just left me hella confused! Thank you!
Yeah facts
Fact
Lol... Same here but from different place
I felt the same with my lecturer
HAHAHAHA Samee heree broo , have a Final Exam tomorrow and was confused in the lectures but this is just an awesome explanation!
Cannot thank you enough, not only for the incredibly informative & accessible information but for having a voice infinitely nicer & more comprehensible than the other videos available!
so true
This video was by the most helpful one that I've watched. Literally have not understood this concept the whole semester until now and it was so easy. Thank you for posting!
This is the first time I have seen a chi square test done in person. This helps me understand the material better.
Omg, I can't believe this. So I was looking for a tutorial about it and found this one done by Brunel University London, a place where I work. I even know the ASK office!!! Small world!!
This might help save me from failing my stats module! Very calming which is great for my stats anxiety too 😆
Explanation was clear and example was also relavant
You explain in such a pleasant and precise way! Lovely.
COVID 19 FORECASTING VIDEOS :
1. ANALYSIS AND FORECASTING OF COVID-19 DATA (WHOLE WORLD) WITH SPSS
ruclips.net/video/OuDRi2dcIsk/видео.html&ab_channel=VIDEOHUBB
2. ANALYSIS AND FORECASTING OF COVID-19 DATA ( INDIA ) WITH SPSS
ruclips.net/video/j-0itdL0OEY/видео.html&ab_channel=VIDEOHUBB
saved my university degree!! love u!
Thank you for this video. Straight to the point and easy to understand.
This is so helpful, thank you for making this.
I struggled so much and you helped me like you have no idea.
Thanks so much for saving my SPSS sanity. Makes perfect sense
You saved me from my assignment! ❤
You are a life saver. One thing I would have liked to know is how do you explain what the Chi square number actually means? We are always told not to just consider p values alone.
Great video, thank you for clarifying chi-square tests. One question: at around 4:10 you stated that we would "accept the alternative hypothesis." I thought we never accept any hypothesis, we either reject or do not reject the null?
it means the same. p value 0.035 is less than the alpha value 5% (0.05), thus, we reject the null hypothesis = we accept the alternative hypothesis. there is a statistically significant association between gender and smoking status.
Finally, now I understood chi square. Thank you
Thank you so much for this straightforward explanation
thank you excellent video, quick question, at 2:53 you explained that the value needs to be below 20%, if it is more we should use a different approach, what does that mean, I am working on a project where my value is 83% in my chi square test,
Thank you sooo much ❤️
Precise and clear EXPLANATION ..... THANKYOU
Thank you very much for the appropriate information to give me!
Thank you so much. Really appreciate your video. Clear and well explained.
What a video! Really appreciate it
Definitely a great video, short but detailed and I actually get it now. Thank you!!
thank you! Very clear and complete!
You are a saint for us students
Nice video. I'm new to SPSS. Can you elaborate on what alternative approaches one can take if more than 20% have expected counts less than 5, please. Thanks!
Fisher Exact Test
thanks a lot very informative video i learn completely how to perform a chi square test in spss thanks one again
What if the dependent variable is more than 2?
My exact dilemma
where is the other video for when the Chi-Square assumption is violated? Please send a link. What should I do then?
ruclips.net/video/t7FMonySjDY/видео.html
You can find the part two of this video by forwarding the link... ruclips.net/video/t7FMonySjDY/видео.html
You absolute hero. Thank you so much
Thankyou is not enough. i am grateful.
This really helped!! Thank you!!
What if if we already have observed value cross tab , how to calculate expected values . If we dont have individual data just total summary count of observed values
Perfect explanation!
Thanks for your great explanation 👍
Thank you for your helpful information!
thank you so much for your video, in your explanation it was very precise and very CLEAR...... helped me out a lot
Thank you thank you thank you so much! This really helped me out :)
Thank for video, but I am little bit insecure in 3:57. Is really 0,035 less then 0,005 and hereby, the result is H1? Sorry for stupid question...
I have the same question
Excellent video, thanks!
First off thank you!! I'm currently taking a Statistics in Social Science Course and I was so lost.
Very useful, very well explained, thank you! But I do need to know what to do when the is less than 5. Where can I find explanations about the interpretation of the test in that case? Also, I encountered another problem. I am trying to determine if two independent groups (one studying painting, one studying music) is significantly different in terms of temperament. This made things more complicated I guess, because now one of my nominal variables has 4 values and the output of SPSS looks different - for example, I can no longer see the row of Fisher's exact test. Could you help?
Good work, very informative and positive
Life saver. Thank you
Thank you very much!! I have an exam in the morning!! hehe....
Hello,
Could you please write down the name of the book you are referring to?
Many thanks!
SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS by Julie Pallant
Is there a video showing what to do when more than 20% of the cells have expected counts less than 5? Much appreciated this is very helpful !
+Yiu Chung Wong In case of small samples, Qui square is not good, and you must use Fisher's Exact Test. For our luck, this result is in the Chi-square's same table.
You are right but Fisher's Exact Test can only be performed if we have a 2x2 contingency table. For example we have gender and smokers-nonsmokers like in the video. male-femal vs. smoker-nonsmoker is a 2x2 table so we can use also Fisher's Exact Test even if proportion exceed 20% but if we have gender and education with 3 options(like undergraduate, graduated, master student) that will be a 2x3 table and that time if proportion exceed 20% we cannot perform Fisher's Exact Test.
@ Thank you for the explanation. In case the proportion exceeds 20% and we have 2x3 table, which test should we use?
Thank god for your existence!!
Thanks it really helped
thank you very good explained and good timing too
Hi, which is the alpha value which is mentioned in 3:51 please?
Urgent question: If the chisquare p value is less than 0.05. Does this also mean that there is a statistically significant differences between male and female in whether they smoke or not?
Thank you you make Statistic easy
Great stuff! thank you!!
fantastic!!!😊
Very informative video ma'am. Thank you for sharing knowledge. I have one question though. Do we need to recode the categorical variables into binary coding - 0s and 1s?
no
Thank you sooooo much 😍😍😍😍😍
i love this, helped me a lot. Thanks!
Thank you for the helpful explanation!!! Much appreciated.
Thank you so much dear madame
thank you for your good video.
Thank you for saving my grade in statistics!!
excellent guide thanks
We can use chi square for categorical variable
i watched a few videos about this and you are the only one who said that chi square is used only for nominal variables.. what should we use for ordinal variables? or scale?
Good afternoon. This was a very short and meaningful video that has helped me understand the use of chi square. In my work I had over 20% cells with less than 5. So it violated it. What other way can I analyse it please?
thank you! makes much more sense now!
Thank you sooo much for ur vedio
thank you ❤❤❤❤
is it always 20 percent?
Hi. Thanks for your great effort. There are 3 values in SPSS output tables regarding crosstab procedure, first is Pearson Chi square value, second is likelihood ratio value, and third is Fisher's exact test value. Which value to choose and report? I noticed that Pearson Chi square value, and likelihood ratio value are always shown in any SPSS crosstab procedure regardless the number of rows and columns and regardless the violation or no violation of Chi square assumptions, whereas Fisher's exact test value is only shown when there is more than 2 by 2 table and there is a violation of Chi square assumptions? Is my notice true or there is another rule behind that?
thanks, it help me a lot
Thank you so much for this! Much appreciated :)
May I know what is the difference between Chi Square Test and Spearman Correlation Test?
What stats to use if expected count has been violated.
What if I told you that my Pearson r test shows a negative not significant correlation, but my Chi Square test tells me otherwise?
How did you put in the values ?
thank you very much!!...you explained this well.
what can I do if the 20% is violated?
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.
how come there is a significant relationship? Based on the result p-value is greater than .005 that means there is no difference? please explain it to me... I am confused
I'd ask the same question... I suppose the point is the author used not a collected data, but she used a self-made database. And she was keeping in mind an idea, that ordinarily men are seemed to be smokers and women to be non-smokers. And she made the database self to prove this correlation. But something went wrong....
What are the general rules to consider in using chi square?
Thanks a lot! This really helped me.
What are the other components about?
But what does the 4.437 mean.
What do you do if it has been violated?
What is the difference between chi square test of proportions vs. chi square of independence?
very helpful thanks!!!!
Hello, I hope someone can answer me. I just would like to ask when you already established that gender and smoker status have a correlation, how can you establish whether what gender smokes more than the other? Or which gender is more likely to smoke? I am having the same trouble with my own stats and I need to determine this. Thank you for anyone who can answer me.
did you find the answer, im unable to understand that as well. can you help me
Me too
is child/adult a nominal variable? What about correct/partially correct/incorrect?
Thank you!
well, child and adult are mostly nominal (depends on the coding and context)
but imo correct/incorrect are scale
how do you explane that result then ? at cramer v, by sentences
what we do if that a. point value is more than 20%, please do suggest what course of action should be taken
My table is 2 by 3. Which one should I use: phi or cramer's?
So say I find that the Chi-square for one variable is significant, but the Chi-square for the other variable isn't - does this suggest a one-way dependency between the two variables? I.e. Variable "A" is dependent on variable B, but not the other way around?
all was ok, but i did not understand your last point, about Phi value? i calculated mine, in different study, it was 0.24, so is it in my study, X has moderate effect on Y, or what table you consulted for level of association of effect for two?
What about if measure of my scale against only one demographic and their scores?
Thanks for the video
But how do I deal with data in which I have examined around 4000 animals for a specific disease
If I have the same variable in the same population (qualitative, like smoking habit: 1:yes 2:no 3: ex) and I want to see how it evolves on time (baseline-12 months-24 months) can I use Chi-Square?