The nature of significant interaction effects was determined by examining the main effects of sample status separately for the different levels of the moderator in GLM analyses of covariance, to statistically test the sample differences within the subgroups.
The final model chosen included just the main effects of sample and location (upper vs lower insertion sites).
The main effects of sample membership, gender and marital status were significant whereas the interaction between gender and study groups was barely significant (p =.049) and showed differences in only two dimensions with a weak effect size.
Then, taking typical situations of scale structures, we proposed a table summarizing the main effects of sample size, alternative hypotheses and marginal distributions on power estimates for the detection of DDs heterogeneities within the scale structure.
When using caliper matching, the main effects for sample size (P < 0.0001), Ptreat (P < 0.0001), and R (P < 0.0001), along with the 2-way interaction between Ptreat and sample size (P = 0.0214), were significantly associated with the value of M that minimized MSE.
Main effects for participant sample (comparison sample vs. intervention sample), pre-incarceration UPI, and their interaction were evaluated.
Power Analysis (PASS 2008 - Repeated Measures ANOVA) indicated that, for the main effect, a sample size exceeding 10 animals per group would correspond to a power above 80%; for the interaction effect, the power for all variables would be above 70% for samples of 15 or larger.
Both patients and controls showed a significant rise in cortisol after awakening (main effect of sample, F 1, 238) = 174.2, p<0.001, η=0.423; see figure 1).
The ultimate goal is to develop and employ analytical methods that will allow us to assume complexity and scan the entire genome for gene-gene interactions where there might not be detectable main effects in any sample.
18, 19 Third, parametric approaches have less power for detecting interactions than independent main effects, necessitating large sample sizes.
