[R] deviance from lmer model: deviance(model) and sum(resid(model)^2), which one is correct?

[willow1980]

Dear R users,
I am frustrated by the residual sum of squares calculation. From Statistical
Medhods by Snedecor & Cochran, I know sum(resid(model)^2) should be one
method. However, there is a automatic code in R for this operation:
deviance(model). When I compare the results from these two methods, I find
they are different. For example, in my case,
sum(resid(modelkidformalp)^2)=279.2061, but
deviance(modelkidformalp)=308.7216 (by ML algorithm). Then, what is the
reason for such a difference?
Thank you very much for your attention!
Best regards,
Jianghua
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