MANOVA using SPSS | Part 1

in this video i discuss the assumptions of the Multivariate Analysis of Variance or MANOVA. In the second installment, I will demonstrate how to run the analysis in SPSS.

Assumptions of MANOVA:

1. Linear relationships between the DVs
2. No multicollinearity: high correlation between DVs
3. No outliers: Mahalanobis' distance or MD
4. Multivariate normality (look at skewness and kurtosis)
5. Box's Test of Equality of Covariance Matrices
6. Levene’s test of homogeneity of variances

df Critical value
2 13.82
3 16.27
4 18.47
5 20.52
6 22.46
7 24.32
8 26.13
9 27.88
10 29.59

Df = k or the number of predictor variables in the model

[rogerturingan]

Great video sir . Do you have a video about repeated Manova with only 1 group?

[AyanAli-vmhl]

helllo sir plz i need help i am much worried i need to know is factorial anova is one way anova or two way answer me plz sir