Weighted and Unweighted MEANS ANOVA

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# Weighted and Unweighted MEANS ANOVA - PowerPoint PPT Presentation

Weighted and Unweighted MEANS ANOVA. &amp; a Reversal Paradox. Data Set “Int”. Notice that there is an interaction here. Effect of gender at School 1 is 155-110 = 45. Effect of gender at School 2 is 135-120 = 15. Weighted means School 1: [10(155) + 20(110)]/30 = 125.

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### Weighted and Unweighted MEANS ANOVA

Data Set “Int”

Notice that there is an interaction here.

Effect of gender at School 1 is 155-110 = 45.

Effect of gender at School 2 is 135-120 = 15.

Weighted means

School 1: [10(155) + 20(110)]/30 = 125.

School 2: [20(135) + 40(120)]/60 = 125.

Unweighted means

School 1: (155 + 110)/2 = 132.5

School 2: (135 + 120)/2 = 127.5

Simple Effects of School, Weighted means

125 = 125, no simple effect.

Simple Effects of School, Weighted means

132.5  127.5, is a simple effect.

Weighted Means ANOVA
• See calculations on handout.
Unweighted Means ANOVA
• Compute harmonic mean sample size.
• Prepare table of adjusted cell sums. See the handout.

The cell sizes here are proportional, a 2 on them would yield a value of 0.

Some say OK to do weighted ANOVA in that case, but, as you can see, the results differ depending on whether you do unweighted or weighted ANOVA.

Data Set “”

Notice that there is no interaction here.

Effect of gender at School 1 is 155-140 = 15.

Effect of gender at School 2 is 135-120 = 15.

With no interaction, it does not matter how you weight the means.

Non-Proportional Sample Sizes

There is a greater proportion of boys at School 1 than at School 2. Gender and School are no longer independent of each other.

The weighted means show School 1 > School 2.

But for the boys, School 2 > School 1.

And for the girls, School 2 > School 1.

The unweighted means show School 2 > School 1.