Dear Biomch-L community,

In my studies, I need to test homoscedasticity(or homogeneity of

variances) of different groups. However, commonly used test methods

(Bartlett's test, Levene test and Brown-Forsythe test) are designed to test

effects of only one independent variable on the outcome variability. Are

there any other statistic methods that can be conducted to test the effects

of two independent variables in homoscedasticity analysis? We are looking

for a method analogous to a 2-factor ANOVA, that can be used to test

(compare) the variability in several groups.

Thanks in advance.

Yang Xu

Biomechanics Lab

Department of Kinesiology

The Pennsylvania State University

In my studies, I need to test homoscedasticity(or homogeneity of

variances) of different groups. However, commonly used test methods

(Bartlett's test, Levene test and Brown-Forsythe test) are designed to test

effects of only one independent variable on the outcome variability. Are

there any other statistic methods that can be conducted to test the effects

of two independent variables in homoscedasticity analysis? We are looking

for a method analogous to a 2-factor ANOVA, that can be used to test

(compare) the variability in several groups.

Thanks in advance.

Yang Xu

Biomechanics Lab

Department of Kinesiology

The Pennsylvania State University

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