The strategy of analysis comprised an examination of the descriptive data of the sample, bivariate analysis with parametric and non-parametric tests, depending on the nature of the distributions (correlation, ANOVA, Kruskall-Wallis, chi squared).
In summary, for situations with small sample sizes, parametric methods are preferred to the bootstrap, provided that goodness-of-fit is investigated ahead of time to ensure the correct model is being used.
Therefore, the data were analyzed with parametric statistics: one-sample t-test or one-way analysis of variance followed by the planned pairwise multiple comparisons (Bonferroni).
The utility scores were further examined with parametric tests (independent samples t-test and ANOVA) in which age, sex, education, family/occupational status and co-morbidities where used as grouping variables.
The tested groups that did not violate the assumption of normal distribution (D'Agostino-Pearson test) or homogeneity of variance (Bartlett's test) were analyzed with parametric statistics: one-sample t-test or one-way analysis of variance followed by planned pairwise multiple comparisons (Bonferroni).
Groups that did not violate the assumption of normal distribution (Shapiro Wilk test) and homogeneity of variance (Bartlett's test) were analyzed with parametric statistics: one-sample t-test or one-way analysis of variance followed by the planned pairwise multiple comparisons (Bonferroni).
Persons who decline participation or drop out will be compared to trial participants with parametric or non-parametric two-sample tests (depending on the distribution of the data) and results used to judge the scope of study findings.
In sum, the important finding highlighted from these permutation tests is that the brain areas showing significant decoding with the one sample parametric t-tests (vs. 50% at p<0.05) 'also' show significant decoding (albeit higher, p<0.001) with the empirical non-parametric permutation tests.
We used a generic cue method combined with parametric modulation analysis and functional MRI (fMRI) to investigate the neural mechanisms affected by PTSD symptoms during the retrieval of a large sample of emotionally intense AMs.
Correlations were performed with parametric Pearson test.
