Jump to content

Log-linear analysis

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Aeachapman (talk | contribs) at 14:15, 2 May 2012 (Added a description of loglinear analysis.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

Loglinear analysis is a technique used in statistics to examine the relationship between more than 2 categorical variables. This technique examines if the categorical variables interact. (A Pearson's chi-square test could be used instead, but this technique only allows for 2 of the variables to be compared at a time.)[1]

It uses a likelihood ratio statistic[2] , χ^2: χ^2=2∑(Oij×ln Oij/Eij ) where ln is the natural logarithm, Oij is the observed frequency in cellij (i = row and j= column), and Eij is the expected frequency in cellij.

References

  1. ^ Howell, D. C. (2009). Statistical methods for psychology (7th ed.). Belmot, CA: Cengage Learning. pp. 630–655.
  2. ^ Field, A. (2005). Discovering statistics using SPSS (2nd ed.). Thousand Oaks, CA: Sage Publications.