Abstract
This article describes the major statistical analyses used in a large-scale study of prelingually deaf children implanted before 5 yr of age. Two major challenges posed by the data were the need to reduce the number of outcome measures to a reasonable number while retaining the important information underlying the multiple measures, and the need to determine the unique contributions of multiple sets of predictor variables. The approach taken-principal components analysis of the outcome measures followed by hierarchical multiple regression-provided a compromise between statistical complexity and ease of interpretation.
| Original language | English |
|---|---|
| Pages (from-to) | 15S-23S |
| Journal | Ear and hearing |
| Volume | 24 |
| Issue number | 1 SUPPL. |
| DOIs | |
| State | Published - Feb 2003 |