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| Describe FAQ/bwsums here. | = Using summary measures as inputs to compute an ANOVA involving one between and one within subjects factor each with two levels = We can also compute mixed ANOVAs with summary information involving repeated measures and between subject factors but we need more information. In particular if we denote B1 and B2 as the two levels of the between subjects factor, B, and W1 and W2 as the two levels of the within subjects factor, W then we need the means, standard deviations, sample sizes and correlations (r) given in the table below. |
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These can then be inputted into this [attachment:bwsum.xls spreadsheet] which will then compute the F ratios for the B and W effects. Note: we cannot use summary inputs to test ANOVA model assumptions. |
Using summary measures as inputs to compute an ANOVA involving one between and one within subjects factor each with two levels
We can also compute mixed ANOVAs with summary information involving repeated measures and between subject factors but we need more information. In particular if we denote B1 and B2 as the two levels of the between subjects factor, B, and W1 and W2 as the two levels of the within subjects factor, W then we need the means, standard deviations, sample sizes and correlations (r) given in the table below.
|
W1 |
W2 |
r |
B1 |
mean1, sd1, n1 |
mean2, sd2, n2 |
r(mean1,mean2) |
B2 |
mean3, sd3, n3 |
mean4, sd4, n4 |
r(mean1,mean2) |
These can then be inputted into this [attachment:bwsum.xls spreadsheet] which will then compute the F ratios for the B and W effects. Note: we cannot use summary inputs to test ANOVA model assumptions.