Analysis of the multivariate test indicates a significant effect on the difference of perception of AL between the Brazilian and Portuguese samples, Wilks Λ = 0.931, F 4,1856) = 34.53, η 2 p = .069, p < .001.001
Since the overall multivariate test indicated a significant multivariate main effect for diabetes (Wilks' Lambda =.96, F = 2.82, df = 8, 535, p =.005), univariate probes were conducted across the eight SF-36 domains (see Table 3).
The multivariate tests of significance indicated that there was a statistically significant multivariate effect for success levels (F = 4.118, p = .021, η2 =.126) though its contribution to the model was very modest (Pillai's Trace = .126, Wilks Lambda = .874).874
The multivariate tests of significance indicated that there was a statistically significant multivariate effect for success levels (F = 8.283, p = .000, η2 =.307) though its contribution to the model is very modest (Pillai's Trace = .307, Wilks Lambda = .693).693
The multivariate Lagrange Multiplier test indicated a significant omitted relationship between Task Persistence and Coping Self-Statements.
Both multivariate logistic regression analysis and z-tests indicated that the occurrence of EPI was closely associated with shock, sepsis, diabetes, cardiac arrest, hyperlactacidemia, invasive mechanical ventilation and haemodialysis.
The results indicate that, in both types of applications, the univariate and multivariate tests led to the detection of different trend signals.
Maulchy's test indicated that the assumption of sphericity had been violated: χ (2)=20.56, p<0.001; therefore, multivariate tests are reported (ɛ=0.93).
A/B and multivariate tests can be run to squeeze out every possible increase in conversion rates.
All of the multivariate tests yield the same result.
