SF-12 Mental Component Summary (MCS). 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 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 can be found here sf12pcs_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.
Save your variables
Click Build data file to generate your code.
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.
