Gary, a psychologist, conducts a study to determine the association between beer sales and the number of road accidents. He finds that an increase in beer sales results in an increase in the number of road accidents. However, he realizes that the time of year could also significantly affect the obtained results because there could be an increase in the number of road trips. Which of the following is most likely exemplified in this scenario? a confounding variable an operational definition deception replication
The Correct Answer and Explanation is:
The correct answer is a confounding variable.
In this scenario, Gary has found that there is an association between beer sales and road accidents. However, he realizes that the time of year might also influence both beer sales and the number of road trips, which could lead to an increase in road accidents. The time of year, in this case, is an example of a confounding variable.
A confounding variable is an extraneous factor that affects both the independent variable (in this case, beer sales) and the dependent variable (road accidents), leading to a false or distorted interpretation of the relationship between these two variables. In this study, the time of year could be influencing both the number of road trips (and consequently the number of road accidents) and the beer sales, creating a third factor that is potentially responsible for the observed relationship.
For instance, during certain times of the year, such as holidays or vacation seasons, people may be more likely to go on road trips, increasing the likelihood of road accidents. Simultaneously, beer sales might increase during these times due to social events and gatherings. Therefore, the association between beer sales and road accidents may not be direct, but rather confounded by the time of year.
To avoid confounding variables, researchers can take steps such as controlling for the confounder (in this case, time of year) or using statistical techniques like random assignment to ensure that the observed effect is truly due to the independent variable and not influenced by extraneous factors.
The other options—operational definition, deception, and replication—are not relevant to this scenario. An operational definition refers to how a variable is specifically defined and measured, deception involves misleading participants about the true nature of a study, and replication refers to repeating a study to verify its results. None of these concepts address the issue of an external factor influencing both the independent and dependent variables, which is characteristic of a confounding variable.