1 / 2

Log-linear Analysis

Log-linear Analysis. Log-linear analysis is used when the outcome and explanatory variables are both categorical. It is an extension of the χ 2 test for two by two contingency table.

rupali
Download Presentation

Log-linear Analysis

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. Log-linear Analysis • Log-linear analysis is used when the outcome and explanatory variables are both categorical. It is an extension of the χ2 test for two by two contingency table. • When there are several categories interpretation of a contingency table by means of simple χ2 test is difficult to interpret and a more robust test like log-linear analysis is employed.

  2. Log-linear analysis - 2 • In log-linear analysis tables are formed with all the categories. The logarithms of cell frequencies are estimated by linear equations. • The log-linear model so developed starts with all the one-way, two-ways, and higher order ways associations. • Terms are dropped and models are constructed such that cell frequencies are accounted for by a minimum number of terms. A comparison of the observed and expected frequencies for each cell using the likelihood estimate makes the evaluation of the final model.

More Related