1 / 11

Weighted and Unweighted MEANS ANOVA

Weighted and Unweighted MEANS ANOVA. & 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.

forever
Download Presentation

Weighted and Unweighted MEANS ANOVA

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Weighted and Unweighted MEANS ANOVA & a Reversal Paradox

  2. 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.

  3. 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

  4. 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.

  5. Weighted Means ANOVA • See calculations on handout.

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

  7. 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.

  8. 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.

  9. 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.

  10. Reversal Paradox • This is known as a reversal paradox. • The direction of the effect in the aggregate data is in one direction. • But at each level of a third variable the direction is opposite what it was in the aggregate data.

  11. Sex Bias in Graduate Admissions Which sex is the victim of discrimination?

More Related