The researchers wanted to find a simpler way to analyze data when the usual method was too strict. They suggested using a different technique called ANOVA on principal components instead of MANOVA. By doing this, they avoided the need for all data points to be perfectly distributed in a certain way. Their analysis showed that this new method can indeed replace MANOVA for certain cases, making it easier to analyze data even when it doesn't meet all the usual requirements.