DNP 801 Topic 5 DQ 1 

DNP 801 Topic 5 DQ 1

In your own words, describe personal and and explain why is one of the main reasons for poor validity in research outcomes. How could a (DPI Project) be affected if the research used had bias? How would the site be affected? Using one of the primary research articles you selected for you PICOT-D, discuss potential bias that could have occurred and how this affects the research outcomes and ultimately the validity of the studies. Is it still viable research for your DPI Project?

REPLY TO DISCUSSION

is any trend or deviation from the truth in data collection, data analysis, interpretation, and publication that can cause false conclusions. Bias can occur either intentionally or unintentionally. Intention to introduce bias into someone’s research is not moral. Nevertheless, considering the possible consequences of biased research, it is almost equally irresponsible to conduct and publish biased research unintentionally (Gardenier JS, Resnik DB, 2019). Bias distorts the truth, it interferes with the ability to truly understand the environments around us. It is the most challenging obstacle for researchers. It is worth pointing out that every study has its confounding variables and limitations. Confounding effects cannot be completely avoided. While Personal bias happens when the research results are altered due to personal beliefs, customs, attitudes, culture, and errors among many other factors. It also means that the researcher must have analyzed the research data based on his/her beliefs rather than the views perceived by the respondents (Scott K, McSherry R, 2019) In research studies having a well-designed research protocol explicitly outlining data collection and analysis can assist in . Feasibility studies are often undertaken to refine protocols and procedures. Bias can be reduced by maximizing follow up and where appropriate in randomized control trials analysis should be based on the intention to treat principle, a strategy that assesses clinical effectiveness because not everyone complies with treatment and the treatment people receive may be changed according to how they respond. has been criticized for lacking transparency in relation to the analytical processes employed (Smith, J., & Noble, H. 2018).

A quality improvement DPI project could be affected or reduced by the random selection of participants since I am using a clinic setting and in the case of clinical trials randomization of participants into comparison groups. Also, some participants might withdraw from the study or be lost due to failed follow-up. This can result in sample bias or change the characteristics of participants in comparison groups.  In qualitative research purposeful sampling has advantages when compared to convenience sampling in that bias is reduced because the sample is constantly refined to meet the study aims. Premature closure of the selection of participants before analysis is complete can threaten the validity of a qualitative study. This can be overcome by continuing to recruit new participants into the study during data analysis until no new information emerges, known as data saturation.

References

Gardenier JS, Resnik DB. The misuse of statistics: concepts, tools, and a research agenda. Account Res. 2019;9:65–74. . [] []

Scott K, McSherry R. Evidence-based nursing: clarifying the concepts for nurses in practice. Nursing in Critical Care, 2019: 3; 67-71 p 1089.

Smith, J., & Noble, H. (2018). Bias in research. Evidence-Based Nursing, 17(4), 100-101. https://doi.org/10.1136/eb-2018-101946

Great posting Elsie. Bias distorts the significance of the findings in the study in a systematic way which most times arises from the design method used. So, the researcher needs to be focused and alert because research can be introduced at any time in the study and also be aware of the different sources of possible bias. Sources like selection bias can affect who is placed in a particular group. This selection bias is reduced when researchers use random selection to place participants in groups (Melnyk, & Fineout-Overholt, 2018). Another source of bias is when the researcher knows who receives what intervention especially in randomized control trials. To minimize the bias reported from the author the authors should not be aware, it is called double blinded or triple blinded-when the person administering the intervention is not aware of who is in what group (Melnyk, & Fineout-Overholt, 2018). There are biases due to not following up with the participants especially when they drop out and not reporting it as such. There is also contamination bias. This is when the participants in the control group are exposed to the intervention of the experimental group (Melnyk, & Fineout-Overholt, 2018). There are also the cross-cultural measurement invariances that occur from with different cultural languages leading to culture bias, translation bias and comprehension bias. All these three are intertwined because there could be different cultural groups hence the culture, comprehension, and translation bias (CCT) procedure tools are used to minimize the bias. This allows for the dissociation of the three cultural biases (Bader, Jobst, Zettler, Hilbig, & Moshagen, 2021).

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Discussion Questions (DQ)

Initial responses to the DQ should address all components of the questions asked, include a minimum of one scholarly source, and be at least 250 words.

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