Statistical analysis and interpretation in a study of prelingually deaf children implanted before five years of age.
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.
Strube
Michael J
MJ
Department of Psychology, Washington University, St Louis, Missouri 63130, USA. mjstrube@artsci.wustl.edu
D002648:Child; D002675:Child, Preschool; D019929:Cochlear Implantation; D003054:Cochlear Implants; D003142:Communication; D003627:Data Interpretation, Statistical; D003638:Deafness / Q000534:rehabilitation*; D005260:Female; D006801:Humans; D008297:Male; D017063:Outcome Assessment, Health Care; D012044:Regression Analysis