Rand mean as the average of all the data treated as a

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Unformatted text preview: tment + SSresidual (1) The total variability is computed in the same way as for simple ANOVA. First, we calculate the g! rand mean as the average of all the data, treated as a single group. Then we find the differences between all the data and the grand mean, square those differences, and add them up. 2 SStotal = # ( X " M ) (2) all scores The variability due to the treatment is also computed in the same way as for simple ANOVA. First, we calculate the average, Mi, for each level of the treatment. Then we find the d! ifferences between these averages and the grand mean, and square those differences. Finally, we multiply each square by n (because it represents n raw scores, one from each subject) and add them up. 2 SStreatment = # n ( M i " M ) (3) levels i The variability due to individual differences is computed in essentially the same way as SStreatment. In this case, we find the aver...
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This document was uploaded on 02/25/2014 for the course PSYC 3101 at Colorado.

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