Statistical Analysis and Interpretation in a Study of Prelingually Deaf Children Implanted Before Five Years of Age

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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.