Tests of data quality, scaling assumptions, and reliability of the SF-36 in eleven countries: results from the IQOLA Project. International Quality of Life Assessment.

@article{Gandek1998TestsOD,
  title={Tests of data quality, scaling assumptions, and reliability of the SF-36 in eleven countries: results from the IQOLA Project. International Quality of Life Assessment.},
  author={Barbara L. Gandek and John E. Ware and Neil K Aaronson and Joaqu{\'i}n Alonso and Giovanni Apolone and Jakob Bue Bjorner and J. E. Brazier and Monika Bullinger and Shunichi Fukuhara and Stein Kaasa and Alain Lepl{\`e}ge and Marianne Sullivan},
  journal={Journal of clinical epidemiology},
  year={1998},
  volume={51 11},
  pages={1149-58}
}
Data from general population samples in 11 countries (n = 1483 to 9151) were used to assess data quality and test the assumptions underlying the construction and scoring of multi-item scales from the SF-36 Health Survey. Across all countries, the rate of item-level missing data generally was low, although slightly higher for items printed in the grid format. In each country, item means generally were clustered as hypothesized within scales. Correlations between items and hypothesized scales… CONTINUE READING
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