The research work is becoming complex because of the advancement in technology. So, you have to be careful about all of its aspects. One of the main problems which keep researchers struggling is the bias in research. The most interesting thing is that there are several types of bias, including reporting one. Many novel researchers may not know about it because of the lack of information. This is one of the most commonly observed types of bias that can affect your credibility as a researcher.
Also, there are several aspects that contribute to deciding if particular research work is good enough for publication. One of the aspects is related to the results of study. The study results are broadly judged in two ways, including positive and negative findings. Generally, researchers take negative results as a direction, which guides about something particular about the selected topic. Also, negative results do not refer to poor results.
On the other hand, research takes findings differently, which refers to a reporting bias in research. If you are stressed about bias, this article is for you. The aim of this article is to discuss reporting bias in detail.
At the time struggling for research publication, you can clearly notice the role of research with statistically significant results. In simple words, you can say that research with statistically positive results gets approval. On the other hand, if any research has statistically insignificant results, it would not get the chance of support. Irrespective of the aim of study and proper relevance of negative results with the objective, when you have to face failure, it refers to a reporting bias in research.
It is reporting bias that leads to research failure. The failure of research is commonly observed from the side of senior researcher. Also, you can find the leading role of the reviewer in it. Many researchers take studies with negative results or improper justification as a failure. The contradiction between the expected and the original work is biasness.
Also, there are several aspects that contribute to deciding if particular research work is good enough for publication. One of the aspects is related to the results of study. The study results are broadly judged in two ways, including positive and negative findings. Generally, researchers take negative results as a direction, which guides about something particular about the selected topic. Also, negative results do not refer to poor results.
On the other hand, research takes findings differently, which refers to a reporting bias in research. If you are stressed about bias, this article is for you. The aim of this article is to discuss reporting bias in detail.
What is Meant by Reporting Bias?
Reporting bias in research occurs when there is an improper discussion about all results. As a novel researcher, you may report false conclusions from a research study. One of the commonly observed flaws is that researchers do not have all of the data in the result section. In this way, it becomes challenging to draw an effective conclusion. For example, you have discussed the treatment of a particular disease. If you fail to discuss all of the data and its impacts, the reader cannot get the same results of information. This approach can become cause to harm the targeted audience, which is under observation.At the time struggling for research publication, you can clearly notice the role of research with statistically significant results. In simple words, you can say that research with statistically positive results gets approval. On the other hand, if any research has statistically insignificant results, it would not get the chance of support. Irrespective of the aim of study and proper relevance of negative results with the objective, when you have to face failure, it refers to a reporting bias in research.
It is reporting bias that leads to research failure. The failure of research is commonly observed from the side of senior researcher. Also, you can find the leading role of the reviewer in it. Many researchers take studies with negative results or improper justification as a failure. The contradiction between the expected and the original work is biasness.
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