1 / 7

Logistic Regression and Odds Ratios

Logistic Regression and Odds Ratios. Example of Odds Ratio Using Relationship between Death Penalty and Race. Probability and Odds. We begin with a frequency distribution for the variable “Death Penalty for Crime”. The probability of receiving a death sentence is 0.34 or 34% (50/147)

qamar
Télécharger la présentation

Logistic Regression and Odds Ratios

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. Logistic Regression and Odds Ratios Example of Odds Ratio Using Relationship between Death Penalty and Race

  2. Probability and Odds • We begin with a frequency distribution for the variable “Death Penalty for Crime” • The probability of receiving a death sentence is 0.34 or 34% (50/147) • The odds of receiving a death sentence = death sentence/not death sentence = 50/97 = 0.5155

  3. Interpreting Odds • The odds of 0.5155 can be stated in different ways: • Defendants can expect to receive a death sentence instead of life imprisonment in about half of their trials • Receiving a death sentence is half as likely as receiving a sentence of life imprisonment • Or, inverting the odds, • Receiving a life imprisonment sentence is twice as likely as receiving the death penalty.

  4. Impact of an Independent Variable • If an independent variable impacts or has a relationship to a dependent variable, it will change the odds of being in the key dependent variable group, e.g. death sentence. • The following table shows the relationship between race and sentence:

  5. Odds for Independent Variable Groups • We can compute the odds of receiving a death penalty for each of the groups: • The odds of receiving a death sentence if the defendant was Black = 28/45 = 0.6222 • The odds of receiving a death sentence if the defendant was not Black = 22/52 = 0.4231

  6. The Odds Ratio Measures the Effect • The impact of being black on receiving a death penalty is measured by the odds ratio which equals: = the odds if black ÷ the odds if not black = 0.6222 ÷ 0.4231 = 1.47 • Which we interpret as: • Blacks are 1.47 times more likely to receive a death sentence as non blacks • The risk of receiving a death sentence are 1.47 times greater for blacks than non blacks • The odds of a death sentence for blacks are 47% higher than the odds of a death sentence for non blacks. (1.47 - 1.00) • The predicted odds for black defendants are 1.47 times the odds for non black defendants. • A one unit change in the independent variable race (nonblack to black) increases the odds of receiving a death penalty by a factor of 1.47.

  7. SPSS Output for this Relationship The Exp(B) output using SPSS is the change in the odds ratio. The odds ratio is output in SPSS in the column labeled Exp(B).

More Related