# Power transformation for enhancing responsiveness of quality of life questionnaire

## TL;DR

This paper explores using power transformations to improve the effectiveness of quality of life questionnaires.

## Contribution

A new method is proposed to maximize paired t-test values through optimal power transformation for quality of life data.

## Key findings

- Power transformation increases the responsiveness of quality of life survey scores.
- The method optimizes the paired t-test value for better statistical performance.
- The Box–Cox transformation is found to be parallel to the proposed method for quality of life data.

## Abstract

We investigate the effect of power transformation of raw scores on the responsiveness of quality of life survey. The procedure maximizes the paired t-test value on the power transformed data to obtain an optimal power range. The parallel between the Box–Cox transformation is also investigated for the quality of life data.