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8. Researchers conducted a comparative study on the magnitude induced abortion among youths residing in two different geographical areas. One population lived in more conservative population and the other lived in more liberal population. The finding reflected that the magnitude of induced abortions in the conservative population were lower than in the liberal population .The researchers outlined that the difference might be associated with attitudes reflected in the two populations. What is the most likely bias introduced in this scenario? What measures should be taken to minimize such bias?

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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.

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