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Multiple Choice
Which of these describes a way to avoid researcher bias in an experiment?
A
Selecting participants based on personal preference
B
Using a double-blind study
C
Formulating a hypothesis after data collection
D
Ignoring conflicting data
Verified step by step guidance
1
Understand the concept of researcher bias: Researcher bias occurs when the preferences or expectations of the researcher influence the outcome of an experiment. It can lead to skewed data and unreliable results.
Learn about double-blind studies: A double-blind study is a method used to prevent researcher bias. In this type of study, neither the participants nor the researchers know who is receiving a particular treatment. This helps ensure that the results are not influenced by expectations or preferences.
Evaluate the options given: Selecting participants based on personal preference can introduce bias, as the researcher may choose individuals who are more likely to produce desired results. Formulating a hypothesis after data collection can lead to bias, as the researcher may tailor the hypothesis to fit the data. Ignoring conflicting data can also introduce bias, as it may lead to overlooking important information.
Identify the correct method to avoid bias: Among the options provided, using a double-blind study is the most effective way to avoid researcher bias, as it minimizes the influence of expectations on the results.
Reflect on the importance of unbiased research: Unbiased research is crucial for obtaining reliable and valid results. By using methods like double-blind studies, researchers can ensure that their findings are based on objective data rather than personal preferences or expectations.