SF-12 Mental Component Summary (MCS). This measure converts valid answers to the origin questions w_sf1 w_sf2a w_sf2b w_sf3a w_sf3b w_sf4a w_sf4b w_sf5 w_sf6a w_sf6b w_sf6c w_sf7 into a single mental 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.
SF-12 Mental Component Summary (MCS). This measure converts valid answers to the origin questions w_sf1 w_sf2a w_sf2b w_sf3a w_sf3b w_sf4a w_sf4b w_sf5 w_sf6a w_sf6b w_sf6c w_sf7 into a single mental 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.
Create your own Stata code to extract data from the main end user licence Understanding Society dataset. Find out more
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Create your own Stata 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.
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.