H3: Individuals in the high-stress group are expected to exhibit faster risk-taking behavior compared to those in the low-stress group. (t-test)
H4: Individuals with higher scores on the Difficulties in Emotion Regulation Scale (DERS) are expected to exhibit faster risk-taking behavior**.** (lineer regression)
H5: Male participants are expected to exhibit faster risk-taking behavior than female participants. (t- test)
I used the mean Reaction Time (RT) across 100 trials as my dependent variable for these hypotheses. However, the RT data violated the assumption of normality (Shapiro-Wilk p < .001), showing a typical right-skewed distribution. I have already tried log-transforming (ln) the data, but I'm curious about the best practices for reporting these non-significant results or if I should consider using Generalized Linear Mixed Models (GLMM) as suggested by some literature (e.g., Lo & Andrews, 2015)."