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If neither the weight or expected score is different for each item score then it is not possible to derive the expected total score for each subset of items based on the expected overall item total by simple fractionation of the overall item expected total (as above). In this case it is necessary to know the individual item weights and item expected scores to derive the expected total for each subset of items. If ''either'' the weight or expected score is different for ''any'' of the item scores then it is not possible to derive the expected total score for each subset of items based on the expected overall item total by simple fractionation of the overall item expected total (as above). In this case it is necessary to know the individual item weights and expected scores to derive the expected total for each subset of items.

How do I derive an expected total for a subset of items based on the expected overall total?

You can derive expected totals for subsets of items by taking fractions of the expected total of all T items IF each subscale has the same expected value and each subscale is weighted equally in computing the total scale score. Expressed more formally

If each of T items comprising a total expected score has the same weight, W, and expected score, E(S), then it follows for 1 <= t <= T:

E(total of all T items) = TW E(S) and 
E(total of a subset of t items) = [TW/t] E(S) 
= E(total of all T items)/t

For example when t = 2 then it follows the expected total for half the items is equal to half the expected total of all T items.

If either the weight or expected score is different for any of the item scores then it is not possible to derive the expected total score for each subset of items based on the expected overall item total by simple fractionation of the overall item expected total (as above). In this case it is necessary to know the individual item weights and expected scores to derive the expected total for each subset of items.

None: FAQ/subscale (last edited 2013-03-08 10:17:41 by localhost)