Dialog box to (i) select the within-subject variables corresponding
to the factors defined in
repMeasAnovaSetup, (ii) select the
between-suject factors, (iii) set options and (iv) launch the repeated
list of within-subject factors
list of within-subject variables
'SS type' type of sum of squares, default:
type = 2.
See Details in
'Effect size' compute and prints effect size (partial eta squared)
'Summary statistics for groups' prints summary statistics for
groups formed by all combinations of factors
'Pairwise comparisons of means' performs post-hoc Tukey's HSD test
on significant (p < .05) or close to significant (p < 0.1) effects.
On OK, the following operations are carried out:
Generates a dataset containing complete cases and converted
from 'wide' to 'long' format (extension
.cplt.lg), with the following columns added:
'id' (factor) identifies the subjects.
'DV' (numeric) the measure or dependent variable.
'trial' (int) variable that differentiates multiple
'DV') from the same subject (
'<factorA>' (factor) levels of the
within-suject factor A (one column per within subject factor)
'<factorA.factorB:...>' (factor) factor that
differentiates multiple measures from groups or subjects with same factors
This 'long' dataset is useful for ploting means and post-hoc analysis
Computes repeated measure ANOVA using
Computes effect sizes (partial eta squared)
Prints a summary of marginal statistics (count, min, max, mean, ds)
runs post-hoc analysis on significant or close to significant effects
Jessica Mange [email protected]
Arnaud Travert [email protected]
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