preview

Taxi Driver Suicide

Better Essays

Seventy five students were recruited from a large southeastern University to participate in the experimental study. Twenty nine were male (39%) and forty six were female (61%). The age of the sample ranged from 17 to 29 years with a mean age of 22 (SD = 2.56). This included 9% Caucasian participants (n = 7), 69% Hispanic American participants (n = 52), 1% Native American participants (n = 1), 13% African American participants (n = 10), 2% Asian American participants (n = 2). The remaining three participants did not report their ethnicity (4%). In order to investigate counterfactual thinking in regard to blame, students in a research method’s class collected data from seventy five participants based on three scenarios. When approached, …show more content…

The questions asked were how avoidable the accident was, how much of a causal role did the taxi driver’s behavior play in the couple’s death, how much control did the taxi driver have, how responsible was the taxi driver in the couple’s death, how much money for damages, if any, would be assessed against the taxi driver, how foreseeable was the couple’s death, and how much blame did the taxi driver deserve for the event. Their responses were based on a scale of 1 to 9, 1 being the lowest and nine being the highest. For example, when asked how avoidable was the accident, 1 was the lowest (not at all avoidable), and 9 was the highest (very avoidable). The responses to these questions served as one of our dependent …show more content…

unchangeable vs. neutral) and how much blame the taxi driver deserves as our dependent variable. The ANOVA was significant, F (2, 72) = 3.91, p = .024. In order to investigate differences in the means, we ran a Tukey LSD post hoc test. This showed that participants placed less blame on the taxi driver in the unchangeable condition (M = 2.68, SD = 2.08) than both the changeable condition (M = 4.24, SD =2.09) and neutral condition (M = 4.12, SD = 2.40). The changeable and neutral groups, however, did not differ from each other. Additionally, we ran a One-Way ANOVA with scenario as our independent variable (changeable vs. unchangeable vs. neutral) and number of counterfactuals participants generated as our dependent variable. The ANOVA was not significant, F (2, 72) = 2.30, p = .107. Hence, the number of counterfactuals that participants generated in the changeable (M = 5.56, SD = 2.76), unchangeable (M = 4.36, SD = 2.06), and neutral (M = 5.76, SD = 2.62) scenarios did not

Get Access