Information Bias

In your review and critique of the research of other public health professionals, you may find evidence not only of selection bias but of information bias as well. Information bias results from errors made in the collection of information obtained in a study. For example, participants’ self-report of their diet may be inaccurate for many reasons. They may not remember what they ate, or they may want to portray themselves as making healthier choices than they typically make. Regardless of the reason, the information collected is not accurate and therefore introduces bias into the analysis.
Knowing how to analyze information biases in reported research or your own studies allows you to assess whether or not you believe study results are valid given the information collected. This can guide the application of evidence-based practice as well as your own research agenda.
For this Discussion, review your assigned article. Consider elements in the study design that might indicate information bias. Think about how the researchers did or did not guard against information biases in their study design. Although several students will be assigned the same articles, please post discussions individually. This is NOT a group project.
Explain what an information bias, write an explanation of possible information bias in the study, including the effect that the measurement error may have had on study results and interpretation. Then explain whether or not information bias was effectively minimized in the study. Finally, provide one alternative method for minimizing information bias and explain how the method might minimize error.

Willis, A., Evanoff, B., Lian, M., Galarza, A., Wegrzyn, A., Schootman, M., & Racette, B. (2010). Metal emissions and urban incident Parkinson disease: A community health study of Medicare beneficiaries by using geographic information systems. American Journal of Epidemiology, 172(12), 1357-1363. doi:10.1093/aje/kwq303. Retrieved from the Walden Library databases.

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Information bias is the bias arising from measurement errors. This bias may also be as a result of making wrong observations or using the wrong techniques in gathering information. This bias has an effect of distorting the final information and bringing about the wrong analysis (Kleinbaum, et al., 2013). In my assigned article, there are several aspects that indicate information bias. The number of people in my research who get medical services and are put on weight reduction every year is way less….

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