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Quality of Life Research
Published in: Quality of Life Research 8/2014

01-10-2014

Results from several population studies show that recommended scoring methods of the SF-36 and the SF-12 may lead to incorrect conclusions and subsequent health decisions

Authors: Graeme Tucker, Robert Adams, David Wilson

Published in: Quality of Life Research | Issue 8/2014

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Abstract

Purpose

To compare the measurement properties of the physical component summary (PCS) and mental component summary (MCS) scores of the SF-36 and SF-12 based on the traditional orthogonal scoring algorithms with the performance of the PCS and MCS scored based on structural equation model coefficients from a correlated model.

Methods

This study used three large-scale representative population studies to compare the measurement properties of the PCS and MCS scores of the SF-36 and SF-12 with the performance of the PCS and MCS scores based on structural equation models producing coefficients from a correlated model. We assessed the relationships of these scores with selected important mental health measures and chronic conditions from three representative Australian population studies that address clinical conditions of high prevalence and health service importance.

Results

Structural equation model scoring methods produced summary scores with higher correlations than the recommended orthogonal methods across a range of disease and health conditions. The problem experienced in using the orthogonal methods is that negative scoring coefficients are applied to negative z-scores for sub-scales, inflating the resulting summary scores. Effect sizes over a half of a standard deviation were common.

Conclusions

If health policy or investment decisions are made based on the results of studies employing the recommended orthogonal scoring methods then the expected outcome of such decisions or investments may not be achieved.
previous article Danish population-based reference data for the EORTC QLQ-C30: associations with gender, age and morbidity
next article Factorial structural analysis of the Spanish version of WHOQOL-BREF: an exploratory structural equation model study

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Appendix
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Metadata
Title
Results from several population studies show that recommended scoring methods of the SF-36 and the SF-12 may lead to incorrect conclusions and subsequent health decisions
Authors
Graeme Tucker
Robert Adams
David Wilson
Publication date
01-10-2014
Publisher
Springer International Publishing
Published in
Quality of Life Research / Issue 8/2014
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-014-0669-9

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