Q2. What future works have the authors mentioned in the paper "Gender roles, sex and the expression of driving anger" ?
Therefore, further research is needed with a much large sample of drivers and a more sophisticated analysis of the relationships using structural equation modelling, to investigate whether the relationship is moderated by a third variable, such as speed choice. However, given the cross-sectional nature of 14 this research, it is not possible to clearly understand these relationships, highlighting the need for well-designed future research in this area. Perhaps this suggests that the use of adaptive/constructive strategies may be one method of reducing engagement in road rage or stimulating road rage amongst other drivers.
Q3. What methods were used to account for the non-normally distributed data?
The robust method of maximum likelihood (ML) and Bollen-Stine bootstrapping were performed on 2000 samples to account for the non-normally distributed data.
Q4. What was the pclose significance of the RMSEA?
The confidence interval (CI) reporting a 90% interval surrounding the RMSEA was also examined and the pclose significance aimed at >.05 was also examined.
Q5. What indices were used to confirm factor fit?
The goodness-of-fit indices applied to confirm factor fit were the Chi-Squared (χ2), S-Bχ2/df, Comparative Fit Index (CFI), Tucker Lewis Index (TLI) and the Root Mean Square Error of Approximation (RMSEA).
Q6. What were the common types of responses reported by French drivers?
Items such as accepting there are frustrating situations on the road, deciding it’s not worth getting involved in and thinking of positive solutions to deal with the situation were the most frequent types of responses reported by these French drivers.
Q7. What is the common way to measure anger in driving?
In particular, simulator research has found that anger degrades driving performance, in that angry drivers: drive faster, take longer to respond to hazards, follow lead vehicles more closely, and cross more yellow and/or red traffic lights (e.g., Abdu, Shinar & Meiran, 2012; Mesken, Hagenzieker, Rothengatter & De Waard, 2007; Stephens & Groeger, 2009; Stephens & Groeger, 2014; Stephens, Trawley, Madigan & Groeger, 2012).
Q8. What is the relationship between driving anger and sex?
this study found that higher levels of masculinity were predictive of more aggressive forms of driving anger expression and that higher levels of femininity were related to the adaptive/constructive approach to dealing with driving anger.
Q9. What is the common measure of anger in driving?
A number of studies have also included an overall measure of aggressive expression (Total Aggressive Expression), which is comprised of all items from the three aggressive forms of anger expression (VAE, PPAE and UoV).
Q10. What are the four factors that determine how often a driver expresses their anger?
Use of the Vehicle to express anger (e.g., Drive a lot faster); Verbal Aggressive Expression (e.g., Swear at the other driver aloud) and Personal Physical Aggressive Expression (e.g., Try to get out and have a physical fight).
Q11. What are the differences between the two groups of drivers?
Younger drivers and those reporting more masculine traits tended to report more use of the vehicle to express anger, and overall more aggressive anger expression.
Q12. What was the goodness of fit statistic for the DAX?
The goodness of fit statistics were: χ2 (266) = 530.35, p <.001, Bollen-Stine p <.001, χ2/df = 1.99, CFI = .91, TLI = .90, RMSEA = .05; 90% CI = .05-.06; pclose >.05 (see Figure 1).