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Comparison between exploratory factor-analytic and SEM-based approaches to constructing SF-36 summary scores.

Fotios Anagnostopoulos¹, Dimitris Niakas, Yannis Tountas

¹Department of Psychology, Panteion University, 136 Syngrou Av, 176 71, Athens, Greece. fganagn@hol.gr

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation

|November 27, 2008

Summary

The Short-Form 36 (SF-36) health survey has a two-factor structure, confirming its multidimensional nature. This structure supports multinational health status comparisons.

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Area of Science:

Health measurement
Psychometrics
Factor analysis

Background:

The Short-Form 36 (SF-36) is a widely used health survey.
Understanding its underlying factor structure is crucial for accurate interpretation.

Purpose of the Study:

To compare two higher-order factor structures of the SF-36.
To utilize exploratory factor analysis and structural equation modeling (SEM).

Main Methods:

Two Greek population datasets (n=1,005 and n=1,007) were analyzed.
Principal components analysis and SEM were employed to assess factor structures.
Physical and mental component summary scores were computed.

Main Results:

Exploratory factor analysis supported a two-principal component structure for the SF-36.
SEM indicated that correlated physical and mental health models fit the data better than independent models.
All eight SF-36 dimensions are necessary for constructing summary scores.

Conclusions:

The SF-36 exhibits a confirmed multidimensional structure.
SEM-based scores are correlational equivalent to standard summary measures.
The SF-36 is feasible for multinational health status comparisons.