7) Lack of homogeneity of variance is most problematic when:
A) Sample sizes are equal and a repeated measures design is used
B) Sample sizes are unequal and a repeated measures design is used
C) Sample sizes are equal and an independent samples design is used
D) Sample sizes are very unequal and an independent samples design is used

Question

Quizplus · Accepted Answer

Lack of homogeneity of variance (also known as heteroscedasticity) is most problematic in statistical analyses when sample sizes are very unequal and an independent samples design is used. This is because standard statistical tests, like the independent samples t-test, assume equal variances between groups. When variances are unequal, and sample sizes are also unequal, the risk of Type I or Type II errors increases, potentially leading to incorrect conclusions.

7) Lack of Homogeneity of Variance Is Most Problematic When