Dear Dr Grande, What do you do when in a factorial anova ( 2 independent and 1 independent , independent variable has great difference in sample sizes) your levene's test is significant? for a one wat anova you can do a non parametric test...but what about the factorial anova? which non parametric test can i do? I saw that you should transform your data ??? but this seems very difficult for a beginner like me... could i use instead of factorial anova , different t -tests? I'm really stuck here.... txs so much for your answer caroline
Hii Dr. Grande... I have performed ANOVA on two-year data, and error variances were found to be significant. The differences were due to environmental variation (hailstorm on the crop during flowering in the first year), so I explained the results on basis of the individual as well as pooled years. But then I was asked a question by someone, justify why the ANOVA is valid, although the assumption of homogeneity was incorrect. Sir, is it possible to give the explanation on the basis of environmental variation or I have to analyze the data in another way. Kindly give your suggestion?
I am doing stats analysis on the quantification of DNA damage under two conditions (light and dark) across 4 time point, the quantity was reduced across time (which seems normal) and some may have decreased to 0 at the third time point, which also 0 in the fourth time point. Then i used MANOVA analysis for my study, amount of damage under light and dark as my DVs and time as my IVs. When i did my MANOVA test, the box's test of equality of covariance matrices was not computed because there are fewer than two nonsingular cell covariance matrices. Then i checked the levene's test of homogeneity of covariance, it is violated in one of the two dependent variables. Then i checkd the normality test and it is also violated. May i know which analysis i should use?
What if the assumption of homogeneity of variance has been violated and we run welch and Brown-Forsythe and we still gt sig. level less than 0.05 while the sig.level in the ANOVA table is less thn 0.05. since homoscedasticity assumption is violated can we interpret the ANOVA table even if it is significant? or should we say that since the assumption was not met we cant interpret the results?
Thank you sir! If you need more ideas: how exactly do you run a PLS in SPSS? I keep getting the error: /CRITERIA LATENTFACTORS=10. ('Extension command ', 'PLS', ' could not be loaded. The module or a module that it requires may be missing, or there may be syntax errors in it.') Thanks in advance
hello sir, I have a query that can we run one way anova if we have a single group in the independent variable rather than having 2 or more groups in it ?
Great. Thank you for the video
Can you tell me what to do if your Brown-Forsythe test is also significant please?
Dear Dr Grande,
What do you do when in a factorial anova ( 2 independent and 1 independent , independent variable has great difference in sample sizes) your levene's test is significant?
for a one wat anova you can do a non parametric test...but what about the factorial anova? which non parametric test can i do?
I saw that you should transform your data ??? but this seems very difficult for a beginner like me...
could i use instead of factorial anova , different t -tests?
I'm really stuck here....
txs so much for your answer
caroline
is there any drawback when we do not assume the homogeneity of variance to the interpretation of the hypothesis?
Yes, the output that assumes the homogeneity of variance assumption is violated has less statistical power.
What if the dependent variable is not normal, no equal variances, but you obtained significance p
Hii Dr. Grande... I have performed ANOVA on two-year data, and error variances were found to be significant. The differences were due to environmental variation (hailstorm on the crop during flowering in the first year), so I explained the results on basis of the individual as well as pooled years. But then I was asked a question by someone, justify why the ANOVA is valid, although the assumption of homogeneity was incorrect. Sir, is it possible to give the explanation on the basis of environmental variation or I have to analyze the data in another way. Kindly give your suggestion?
What should we do if it is violated for ANCOVA?
I am doing stats analysis on the quantification of DNA damage under two conditions (light and dark) across 4 time point, the quantity was reduced across time (which seems normal) and some may have decreased to 0 at the third time point, which also 0 in the fourth time point.
Then i used MANOVA analysis for my study, amount of damage under light and dark as my DVs and time as my IVs.
When i did my MANOVA test, the box's test of equality of covariance matrices was not computed because there are fewer than two nonsingular cell covariance matrices.
Then i checked the levene's test of homogeneity of covariance, it is violated in one of the two dependent variables.
Then i checkd the normality test and it is also violated.
May i know which analysis i should use?
What if the assumption of homogeneity of variance has been violated and we run welch and Brown-Forsythe and we still gt sig. level less than 0.05 while the sig.level in the ANOVA table is less thn 0.05. since homoscedasticity assumption is violated can we interpret the ANOVA table even if it is significant? or should we say that since the assumption was not met we cant interpret the results?
Please, any idea why my Levene's homogeneity of variance test is showing "based on mean" median etc.
Is there anyway I can remove the mean. median?
Hi dr. Grande. Can you make a video on AVE and CR? (Likert-scale). Thanks in advance :)
Thank you for the idea, here is the video: th-cam.com/video/8tyjdfpiAJQ/w-d-xo.html
Thank you sir! If you need more ideas: how exactly do you run a PLS in SPSS? I keep getting the error: /CRITERIA LATENTFACTORS=10.
('Extension command ', 'PLS', ' could not be loaded. The module or a module that it requires may be missing, or there may be syntax errors in it.')
Thanks in advance
hello sir, I have a query that can we run one way anova if we have a single group in the independent variable rather than having 2 or more groups in it ?
as far as i know, you run ANOVA if you have independent variable with more then two-level or groups