PUBH 8450 Discussion: Strategies for Addressing Bias in Assessment

This discussion board post addresses the impact of bias in community health assessments, referencing the provided resources and the town hall meeting example. The author identifies potential biases, such as selection, information, and confounding biases, and their impact on the assessment's accuracy and reliability. The post explores strategies for mitigating these biases, including proper methodology validation, the use of blinding techniques, and the application of random sampling methods like simple random sampling and stratified random sampling. The author responds to colleague's posts, expanding on their insights and providing additional resources. The assignment highlights the importance of recognizing and addressing bias to ensure the validity and effectiveness of community health initiatives, emphasizing the role of public health professionals in employing strategies to mitigate bias. The assignment also discusses the weaknesses of different sampling methods and the importance of selecting the most appropriate method to avoid bias.

Running head: BIAS IN RESEARCH
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Bias in Research
Name of the Student
Name of the University
Author Note

BIAS IN RESEARCH 2
Response to the colleague post
James Green
Clinical research must be avoided by biases to get a positive result. There are many such
approaches for preventing this risk of biasness in the study. The first approach to reducing this
kind of bias is having a proper validation of the methodology. The inclusion and exclusion
criteria are to be fixed according to the type of study that is conducting. All this will be helpful in
removing the selection bias, confounding bias and information bias. The blinding factor in
clinical research is of several types that restrict from knowing the aim of the experiments from
the participates. The kinds additional of blindness are single-blinded, double-blinded and triple
blinded (Kapoor, 2016)
The blinding technique also helpful as it reduces depression, tension, pain after
application if the research drugs among the selected human population. Blind techniques can
reduce biases, especially in observation of data.
There can be another technique for avoiding the bias in sampling that is simple random
sampling other than classic grounded theory. In simple random sampling, samples are chosen by
strict chances which provide equality among the selected sample (Elfil & Neigida, 2017).
The weakness of the strategy that is stated by the classmate- the grounded theory fails in
creating reliability and rationality; it is also challenging to identify the bias induced by the
researchers (Foley & Timon, 2015).
The post lighted the fact that bias can influence the result in research or providing care. In
my view, it can be avoided by grounded theory and also by simple random sampling.

BIAS IN RESEARCH
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Responses to colleague post
Trishana Ellis
The bias is a state, which creates a tendency of impartial systemic error in research
testing. The bias can occur in all parts like in observation, information collection and in
confounding. There are many approaches to avoid bias and to get qualitative data (Simundic,
2013). These are the participants. They are allowed in reviewing the results that are obtained.
The data can be coded by different analytic to avoid personal bias.
The post focused on the particular population, especially children. The community can be
addressed by stratified random sampling. The study design also matters in this case; the
community must be divided into many groups according to the range bar to avoid mixed
responses.
The weakness of random sampling is it selects populations based upon a particular group.
It is also very time consuming and of high cost making the work more hazardous.
Biasness is common in any research that arises due to several conditions like data
collection, analysis. In my view, stratified sampling is better in providing a precise sample size
related to the study (Elfil & Neigida, 2017).

BIAS IN RESEARCH
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References
Elfil, M., & Negida, A. (2017). Sampling methods in Clinical Research; an Educational
Review. Emergency (Tehran, Iran), 5(1), e52.
Foley, G., & Timonen, V. (2015). Using Grounded Theory Method to Capture and Analyze
Health Care Experiences. Health services research, 50(4), 1195–1210.
Kapoor M. C. (2016). Types of studies and research design. Indian journal of anaesthesia, 60(9),
626–630.
Simundić A. M. (2013). Bias in research. Biochemia medica, 23(1), 12–15.