I am looking for the scoring instructions for the PCS and MCS of the SF-36. Thank you.
Hi Jennifer. Scoring for PCS and MCS is country-weight specific. Here (attachment) is an example on how I do calculate these scores for NZ population. I think you should find Canada weights and then you could use this spreedsheet by simple replace the weights from NZ with the weights from Canada. Basicall,y the value that people gives to the different dimensions of HRQoL differ from country to country and that is why weights are country-specific. Hope this helps. Best, Borja
Hi Borja,
Thanks for your reply. I have to calculate PCS and MCS for UK population. Looking at your calculation example there are eight score coefficients. However on publications below they give 8 coefficients to calculate MCS and additional 8 to calculate PCS. Can you help?
Jenkinson C. Assessment of the SF-36 version 2 in the United Kingdom.
Jenkinson C. Comparison of UK and US methods for weighting and scoring the SF-36 summary measures
Hi, try to write here: https://campaign.optum.com/optum-outcomes/what-we-do/health-surveys/sf-36v2-health-survey.html
They help me a lot with the evaluation.
Hi. I'm working calculating SF-36v2 using 2009 US norms. Although I have searched 2009 US norm 0-100 scale scores, I couldn't find them. Is there anyone who can help me?
hi all, I downloaded the excel file, and yet there are errors reported in the cells... can someone please help me understand why? I can't use the file.
Hi!
The formulas in the excel file work, just replace the norms and the factor weights for your population.
1) Start with the cell named PF_Z (this formula calculates the Z-score) and replace the first value with the mean value of the Physical Function scale from your country population norms and the second value with the standard deviation for the same PF scale.
2) Afterwards, do the same for the other z-scores for all the 8 scales.
3) In the cell AGG_P replace the numbers with the factor score coefficients for each scale (which you find in the literature as well). If there are no coefficient scores calculated for your country you can use the values for the US population. In fact, there is a debate in the literature as to which factor coefficients to use: country specific or US? From what I have read, it's a good idea in the end to use the factor coefficients from US population because it is much easier to compare the PCS and MCS values with those in the literature (for purpose of comparability and simplicity). Practically, it's like applying a standardisation to your dataset.
Hope it helps!
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