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How researchers implicit bias affect study internal validity


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Please provide a response to this post and a good follow up question - A researcher's implicit bias can affect a study's internal validity, which is how confident we can be that the results are caused by the intervention rather than other factors. (Farmer & Farmer, 2019)  If a researcher has predetermined expectations about the results of the research study, they may approach the study favoring their expectation, which in result can taint the validity of the results. This can create systematic errors, making it hard to tell whether the results are truly caused by the variable being studied. Bias can also affect how participants are recruited or treated, which can further influence reduce the study's validity. To reduce this risk, researchers should have clear and consistent standards and guidelines, follow procedures, and use consistent measurement tools. Randomly assigning participants to groups, when possible, can also help prevent preexisting differences from affecting results. Self-reflection can help researchers recognize and control their unconscious biases. These steps help protect both the integrity of the research and the ethical treatment of participants. Need Assignment Help?

 

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