Answer:
Step-by-step explanation:
The most likely bias introduced in this scenario is selection bias. This bias occurs when the selection of participants in a study is not representative of the population being studied. In this case, the two populations being compared are not randomly selected, and there may be other factors that are contributing to the differences in the magnitude of induced abortions, besides the attitudes of the populations.
To minimize this bias, the researchers could have used random sampling techniques to select participants from both populations. They could have also controlled for other variables that could have influenced the results, such as age, income, education, and access to healthcare. Additionally, the researchers could have used standardized measures to assess the attitudes of the populations towards induced abortions, rather than relying on subjective observations.
By using these measures, the researchers could have increased the validity and reliability of their study, and provided a more accurate representation of the differences in the magnitude of induced abortions between the two populations.