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kjetil b halvorsen
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justification Justification for low/high or tertiary splits in anovaANOVA

Here's the dilemma: I have two groups of participants and they all took the same measurements. When

When I perform a median split on one of the measurements to test my hypothesis about an interaction, the dependent variable fails Levene's test for equality of variances. When I perform a teritary split, it passes Levene's test - both when I am comparing only high and low thirds and when I compare all three thirds too. There

There are main effects and interaction effects in all of the ANOVA'sANOVAs that I have run, but only the 2x2 ANOVA fails Levene's test for signifiancesignificance, neither of the 3x2 anovasANOVAs fail. How

How is this possible?

justification for low/high or tertiary splits in anova

Here's the dilemma: I have two groups of participants and they all took the same measurements. When I perform a median split on one of the measurements to test my hypothesis about an interaction, the dependent variable fails Levene's test for equality of variances. When I perform a teritary split, it passes Levene's test - both when I am comparing only high and low thirds and when I compare all three thirds too. There are main effects and interaction effects in all of the ANOVA's I run, but only the 2x2 ANOVA fails Levene's test for signifiance, neither of the 3x2 anovas fail. How is this possible?

Justification for low/high or tertiary splits in ANOVA

I have two groups of participants and they all took the same measurements.

When I perform a median split on one of the measurements to test my hypothesis about an interaction, the dependent variable fails Levene's test for equality of variances. When I perform a teritary split, it passes Levene's test - both when I am comparing only high and low thirds and when I compare all three thirds too.

There are main effects and interaction effects in all of the ANOVAs that I have run, but only the 2x2 ANOVA fails Levene's test for significance, neither of the 3x2 ANOVAs fail.

How is this possible?

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jpf66
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justification for low/high or tertiary splits in anova

Here's the dilemma: I have two groups of participants and they all took the same measurements. When I perform a median split on one of the measurements to test my hypothesis about an interaction, the dependent variable fails Levene's test for equality of variances. When I perform a teritary split, it passes Levene's test - both when I am comparing only high and low thirds and when I compare all three thirds too. There are main effects and interaction effects in all of the ANOVA's I run, but only the 2x2 ANOVA fails Levene's test for signifiance, neither of the 3x2 anovas fail. How is this possible?