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
To test their hypothesis, they asked participants to estimate the speed of cars using different types of questions. The study consisted of two different experiments. The first experiment involved 45 American students watching 7 different video clips of traffic incidents. The participants were asked to answer specific questions about what they saw in the clips, including the key question “about how fast were the cars travelling when they “verb” into each other?” The independent variable being the verb i.e. Smashed, collided, bumped, hit and contacted.
The fundamental attribution error is adaptive because it allows an individual to process information quickly. For instance, in the previous example, individuals driving along notice the accident and quickly attribute the driver’s personality as reckless. When individuals driving along make this attribution, they fail to acknowledge how the driver feels. Hence, the fundamental attribution error can be extremely harmful because unanticipated outcomes cause anxiety and discomfort (Attribution lecture, February 4, 2016). The driver did not cause the accident, though individuals driving along believe the driver did which inflicts anxiety and discomfort onto the driver involved in the
Our textbook uses the example of Allstate Insurance’s Mayhem commercials which are hilarious to watch, but make you want to get Allstate’s insurance for fear that all that happens in the commercials will happen to you (Alfano and O’Brien 57). In this case, the fear of death or at the very least a damaged car and trip to the hospital is used to make people stray from drinking and driving. The idea of crashing your car into a tree and potentially lose your life if you drink and drive is enough to make some people think twice before they turn the key in the ignition and take off with a tainted and slurred view of the world around
They point out that assumptions are based on our own feelings. For example, if we feel hurt, then the other person must have meant to hurt us. Furthermore, we should acknowledge the hurt feelings of the other, even if this was not our intent. The final component of the “what happened” conversation is the problem with the assignment of blame, which inhibits the ability to learn about the cause of the problem or to collaborate to fix it. The authors remind us that “…blame is about judging and contribution is about understanding (p. 59).” Attention should be focused on examining each person’s contribution to the problem with a goal of understanding cause and avoiding future problems. An effective “what happened” conversation illuminates the fact that the situation is more complex than either party’s original perception. Next, the authors discuss the importance of having a “feelings” conversation. Although emotions frequently drive difficult conversations, people often ignore them. However, unaddressed feelings generally re-emerge to impair understanding, hinder listening, and damage relationships. Although feelings do not always make sense, they still exist and require acceptance, so that both parties can feel understood. The third conversation is one that we have with ourselves about what this situation means about our personal identity. We may question our competence, goodness, or
Whereas "internal" or "dispositional" attribution assigns causality to factors within the person, such as their own level of intelligence or other variables that make the individual responsible for the event.
In addition, 150 White Americans (75 men, 75 women) will be recruited through Amazon’s Mturk. The exclusion criteria are that the individuals be at least 18 years old and of white ethnicity. The participants will choose to participate in the experiments, which will be advertised on Mturk, they will
The habitude “Drivers and Passengers” is very important because it explains the importance of being responsible for others and showing what leaders should do and what the followers should do. The drivers are the example of people who take responsibility for others and bring them to their destination safely and successfully. The passengers in life are the people who support the drivers so the team can succeed. The passengers are needed to do the work necessary to help the drivers guide them to the right destination. When people get in accidents, they usually blame the driver because that person failed to get them to their destination. In reality, all of the people involved in the accident are the ones to be blamed because
Unfortunately, recent research has reveled that the IAT is not by itself a reliable predictor of individual behavior (Footnote). To overcome this shortcoming of the IAT we have required respondents to take the IAT three times. This will allow us to average the results across the three tests to create a more representative aggregate score, which could be used to more reliably predict behavior.
During experiment one, Loftus and Palmer used forty-five participants who were split into groups of diverse sizes and were shown seven video clips which all depicted automobile accidents. The clips were segments from a driver’s education film and ranged from five to thirty seconds in length. After each clip, the participants were asked a series of specially generated questions which included the question that asked the participants to recall what they had just seen with other questions that followed. The most critical question asked was about the speed of the vehicles and had the purpose of discovering if the wording of the question impacts the answer the participant gives. For
It also aimed to see if it was true that people were open to hints, as people are extremely bad at estimating the speed of moving cars. 45 students were shown 7films of different traffic accidents. After each film, participants were given a questionnaire asking them to describe the accident and then answer a
With this I will explain the impact from certain people’s view from the causes of drinking and driving.
2. Suicide by train is a common problem in today’s society. If people see that trains are now moving faster and more frequent, how will the Massachusetts Bay Transportation Authority improve its safety measures?
The dependent variable is the driving log. The participants were given driving logs to complete in three days of the following week. The logs recorded the amount of driving and situations they encountered that produced anger on a scale from zero to one hundred as the most anger. Participants also indicated risky or aggressive behaviors they performed by choosing from a list. Aggressive behaviors included gestures like swearing. The risky behaviors were speeding, drinking and driving. At four weeks the participants were given a psychology test called Driving Anger Scale. The version of DAS had fourteen items. Even though the items asked about driving anger it was used to measure over all driving anger. The DAS participants were asked to read short descriptions of driving events. Then the participants were asked to imagine being in the situation and rate the severity of anger the situation would produce in them. The anger was rated on a five point scale which ranged from not at all to very much. Individual items included “A slow vehicle on a mountain road will not pull over and let people by, “Someone speeds up when you try to pass them; and “Someone backs right out in front of you without
We recruited 18 undergraduate students from a California State University using general class announcements and one campus posting. Participants were offered academic credit or extra credit for participating. There were 3 men and 15 women with ages that ranged from 20-27, (M = 22.89, SD = 1.84).
Several cars approached the four-way intersection at 10th and Main in Blanchard, OK. Although the experiment had women drivers with passengers and without passengers who did come and did not come to a complete stop, this data is based only on the women drivers with passengers which are the independent variable. The dependent variable is the outcome of the drivers. There were only thirteen women drivers with passengers during the observation period.