Binomial effect size display
Download
1 / 7

Binomial Effect Size Display - PowerPoint PPT Presentation


  • 107 Views
  • Uploaded on
  • Presentation posted in: General

Binomial Effect Size Display. What is it? How do I prepare it?. What is It?. An interesting way to look at a magnitude of effect estimate. A 2 x 2 contingency table Total N = 200 For each row N = 100 For each column N = 100 Treat the cell entries as conditional percentages.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Binomial Effect Size Display ' - jennifer-rodriquez


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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Binomial effect size display

Binomial Effect Size Display

What is it?

How do I prepare it?


What is it
What is It?

  • An interesting way to look at a magnitude of effect estimate.

  • A 2 x 2 contingency table

    • Total N = 200

    • For each row N = 100

    • For each column N = 100

    • Treat the cell entries as conditional percentages


Calculating the cell entries
Calculating the Cell Entries

  • Obtain the r for the effect of interest.

  • On one diagonal the cell entries are 100(.5 + r/2)

  • On one diagonal the cell entries are 100(.5 - r/2)


Physicians aspirin study
Physicians’ Aspirin Study

  • φ2 = .0011

  • r = φ = .034

  • 100(.5 + r/2) = 100(.5 + .017) = 51.7

  • 100(.5 – r/2) = 100(.5 - .017) = 48.3


Interpretation
Interpretation

  • The treatment explains 0.11% of the variance in heart attacks.

  • This is equivalent to a treatment that reduces the rate of heart attacks from 51.7% to 48.3%.

  • Odds ratios can be revealing too. Here the odds ratio is (189/10,845)/(104/10,933) = 1.83.

  • The odds of a heart attack were 1.83 time higher in the placebo group than in the aspirin group.


Predicting college grades from sat verbal and quantitative
Predicting College Grades From SAT (Verbal and Quantitative)

  • Multiple R = 0.41

  • 100(.5 + r/2) = 100(.5 + .205) = 70.5

  • 100(.5 – r/2) = 100(.5 - .205) = 29.5


Effect from anova
Effect from ANOVA

  • η2 = .06 (medium-sized effect)

  • 100(.5 + r/2) = 100(.5 + .12) = 62

  • 100(.5 – r/2) = 100(.5 - .12) = 38


ad
  • Login