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There are 3 ways to calculate SEM. Also it is important if you want to have SEM agreement or SEM consistency. I will show you the SEM calculaton from reliability. First you should have ICC (intra-class correlation) and the SD (standard Deviation). Then you calculate SEM as follows: $$ SEM= SD*(\sqrt{1-ICC}) $$.
Brad Woodruff. Standard error is a measure of sampling error. There are others, but standard error is, by far, the most commonly used when dealing with survey data. But one important point: sampling error is NOT the only reason for a difference between your survey estimate (based on your survey sample) and the true value in the population. Another, and arguably more important, reason for this difference is bias.