The reference is: Huberty, C. J., & Petoskey, M. D. (2000). Multivariate analysis of variance and covariance. In H. Tinsley and S. Brown (Eds.) Handbook of applied multivariate statistics and mathematical modeling. New York: Academic Press. you can read a full write-up of the MANOVA results on the how2stats webpage. I can't put the link here, unfortunately, but if you type: MANOVA reporting how2stats' into google, you should find it.
glidza, My hunch is that you have a multicolinearity problem between your dependent variables; however, this may only be apparent within one of your groups. So, you'd have to look at the correlations between your dependent variables for each group (or better, loot at Tolerance via multiple regression). If you have multicolinearity, you'll likely have to drop one of your dependent variables (or combine two variables into one).
Hi, thanks for the great video! Can you please tell what should one do if he gets this warning for Box's M: "Box's Test of Equality of Covariance Matrices is not computed because there are fewer than two nonsingular cell covariance matrices" Is it still ok to procede with the interpretation of the results or something needs to be changed? Thanks!
Thx for these videos - they really are amazing! I was just wondering where I find the references for the use a significans level of 0.005 in Box's M (2:37)? Thx in advance, and thx for sharing! :-)
hi, i have the same problems as Glidza's., is it because i hvae 3 DVs (dependent variable) and 4 IVs (independent variables) where this IVs are 4 levels. (IVs are locations , with 4 different locations). ? great big thanks for any advices.
Hello Sir, thank you for the video. I wanna ask you that why did not you calculate the mean for those 9 variables (creating 3 means of intelligence scale)?
I had a quick question about interpreting covariance matrices when you generate them using SPSS Analyze function...Do you have a reference I can cite for the 1:3 ratio as the criterion for retaining the assumption of equal covariances? Also, I am assuming that I should reject the null if p=.005 for Box's M although in your write up you say the guidelines are to reject if p
Hey how2stats, First of all thank you for this helpful video! I have a survey with 7 pages, for each page this input is given: -One multiple choice question(with 3 options) -3x Likert scale(1-7), where you have to indicate level of trust for each mc-option. I want to know if there is a significant preference for one of the 3 multiple choice options + if this is due the level of trust. I'm not sure but do I need a MANOVA for this? If not what would be the best way? thanks!
Teacher, I get error when performing the MANOVA. Warning Equality testing of Box covariance matrices has not been performed because there are less than two covariance matrices of non-singular squares. The post hoc tests for College will not be performed because the term error has zero degrees of freedom. 4,91 4,31 4,51 4,20 4,27 4,24 4,31 3,94 4,32 5,13 5,88 7,49 4,40 5,84 7,37 6,16 4,70 7,42 4,21 5,76 4,30 5,24 6,11 4,85 6,13 4,16 4,44 4,19 4,27 4,15 5,00 4,12 4,22 4,99 4,11 4,56 4,70 4,18 4,08 4,24 3,83 3,97 7,45 5,11 5,60 4,35 5,14 7,38 7,90 5,72 7,45 4,23 4,03 7,40 5,46 4,53 7,31 5,35 4,44 7,37 5,59 7,56 7,45 Thanks...
The reference is:
Huberty, C. J., & Petoskey, M. D. (2000). Multivariate analysis of variance and covariance. In H. Tinsley and S. Brown (Eds.) Handbook of applied multivariate statistics and mathematical modeling. New York: Academic Press.
you can read a full write-up of the MANOVA results on the how2stats webpage. I can't put the link here, unfortunately, but if you type: MANOVA reporting how2stats' into google, you should find it.
Excxmfdcsxbn11vb
that's a fantastic series of vids! many thanks for your kind effort!
"[...] Then choose LSD it's the more powerful way [...]"
I hope I don't have to use that to make sense of my data!
that's where bibliography comes handy
glidza,
My hunch is that you have a multicolinearity problem between your dependent variables; however, this may only be apparent within one of your groups. So, you'd have to look at the correlations between your dependent variables for each group (or better, loot at Tolerance via multiple regression). If you have multicolinearity, you'll likely have to drop one of your dependent variables (or combine two variables into one).
Hi, thanks for the great video!
Can you please tell what should one do if he gets this warning for Box's M:
"Box's Test of Equality of Covariance Matrices is not computed because there are fewer than two nonsingular cell covariance matrices"
Is it still ok to procede with the interpretation of the results or something needs to be changed?
Thanks!
Hi, did you get an answer for your question?? thanks
@@emanm3198 it was so long ago that I don't even remember.
What if the value of Box M test is .000 ? should I proceed further ?
Thx for these videos - they really are amazing!
I was just wondering where I find the references for the use a significans level of 0.005 in Box's M (2:37)?
Thx in advance, and thx for sharing! :-)
Hey what is the reference for the sig 0.005?
hi, i have the same problems as Glidza's., is it because i hvae 3 DVs (dependent variable) and 4 IVs (independent variables) where this IVs are 4 levels. (IVs are locations , with 4 different locations). ? great big thanks for any advices.
do the criticisms of Box's M also apply in Univariate split-plot ANOVA (2x7 design)? should one also adjust p value to p
Hello Sir, thank you for the video. I wanna ask you that why did not you calculate the mean for those 9 variables (creating 3 means of intelligence scale)?
Nice Video "King of the Mod"!
Hi, Where can I find the example data so I can follow along? Great video, thanks!
I had a quick question about interpreting covariance matrices when you generate them using SPSS Analyze function...Do you have a reference I can cite for the 1:3 ratio as the criterion for retaining the assumption of equal covariances? Also, I am assuming that I should reject the null if p=.005 for Box's M although in your write up you say the guidelines are to reject if p
Did you perhaps find the reference for using 1:3 ratio as a criterion for homogeneity of variances? @how2stats
How do I perform a MANOVA for a within participants design?
Hey how2stats, First of all thank you for this helpful video!
I have a survey with 7 pages, for each page this input is given:
-One multiple choice question(with 3 options)
-3x Likert scale(1-7), where you have to indicate level of trust for each mc-option.
I want to know if there is a significant preference for one of the 3 multiple choice options + if this is due the level of trust. I'm not sure but do I need a MANOVA for this? If not what would be the best way? thanks!
Do you have a source for variances being within 3x the value? Great video, this is getting me through my dissertation!
I know this video is 8 years old, but do you have the reference for Box's test of covariance? about using the .005 significance level.
Yes, I provided the reference in Chapter 11 of my (free) textbook: www.how2statsbook.com.
@@how2stats thanks you
Teacher, I get error when performing the MANOVA.
Warning
Equality testing of Box covariance matrices has not been performed because there are less than two covariance matrices of non-singular squares.
The post hoc tests for College will not be performed because the term error has zero degrees of freedom.
4,91 4,31 4,51
4,20 4,27 4,24
4,31 3,94 4,32
5,13 5,88 7,49
4,40 5,84 7,37
6,16 4,70 7,42
4,21 5,76 4,30
5,24 6,11 4,85
6,13 4,16 4,44
4,19 4,27 4,15
5,00 4,12 4,22
4,99 4,11 4,56
4,70 4,18 4,08
4,24 3,83 3,97
7,45 5,11 5,60
4,35 5,14 7,38
7,90 5,72 7,45
4,23 4,03 7,40
5,46 4,53 7,31
5,35 4,44 7,37
5,59 7,56 7,45
Thanks...
Good video
thanks for your video!
2:17 yours is lower then .05? hmm iam not getting something xd