odds: Chi-Square Odds Ratios

In doomlab/MOTE: Effect Size and Confidence Interval Calculator

Chi-Square Odds Ratios

Description

This function displays odds ratios and their normal confidence intervals.

Usage

odds(n11, n12, n21, n22, a = 0.05)

Arguments

n11	sample size for level 1.1
n12	sample size for level 1.2
n21	sample size for level 2.1
n22	sample size for level 2.2
a	significance level

Details

This statistic is the ratio between level 1.1 divided by level 1.2, and level 2.1 divided by 2.2. In other words, these are the odds of level 1.1 given level 1 overall versus level 2.1 given level 2 overall.

To calculate odds ratios, First, the sample size for level 1.1 is divided by the sample size for level 1.2. This value is divided by the sample size for level 2.1, after dividing by the sample size of level 2.2.

odds <- (n11 / n12) / (n21 / n22)

Learn more on our example page.

Value

Provides odds ratios with associated confidence intervals and relevant statistics.

odds	odds statistic
olow	lower level confidence interval of odds statistic
ohigh	upper level confidence interval of odds statistic
se	standard error
estimate	the oods statistic and confidence interval in APA style for markdown printing

Examples

#A health psychologist was interested in the rates of anxiety in
#first generation and regular college students. They polled campus
#and found the following data:

  #|              | First Generation | Regular |
  #|--------------|------------------|---------|
  #| Low Anxiety  | 10               | 50      |
  #| High Anxiety | 20               | 15      |

#What are the odds for the first generation students to have anxiety?

odds(n11 = 10, n12 = 50, n21 = 20, n22 = 15, a = .05)

doomlab/MOTE documentation built on April 17, 2022, 2:08 a.m.