SF-12 Physical Component Summary (PCS). This measure converts valid answers to the origin questions scsf1, scsf2a, scsf2b, scsf3a, scsf3b, scsf4a, scsf4b, scsf5, scsf6a, scsf6b, scsf6c and scsf7 into a single physical functioning score, resulting in a continuous scale with a range of 0 (low functioning) to 100 (high functioning). For complete details on scoring methods see Ware, J.E., Kosinski, M., Turner-Bowker, D.M. and Gandek, B. (2001), How to Score Version 2 of the SF-12 Health Survey (With a Supplement Documenting Version 1), Lincoln, RI, Quality Metric Incorporated. Stata-syntax for deriving sf12pcs_dv and sf12mcs_dv can be found here sf12pcs_dv.
Create your own Stata or R code to extract data from the main end user licence Understanding Society dataset.
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Create your own Stata or R code to extract data from the main end user licence Understanding Society dataset.
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The code will allow you to create your own data file containing just your variable selection, plus a handy set of commonly used sociodemographic variables and cross-sectional and longitudinal weight variables. See further information
The Economic and Social Research Council is the primary funder of the study
The Study is led by a team at the Institute for Social and Economic Research (ISER) at the University of Essex.