Significance of Bias in research
Bias in research is defined as a predisposition that can result in flawed conclusions, often due to conflicts of interest or unscientific methods. It also represents a systematic error that consistently skews results in a particular direction, thereby undermining the validity of research findings. Understanding bias is crucial for ensuring the integrity and reliability of scientific studies, as it can influence the interpretation of data and the outcomes of research efforts.
Synonyms: Prejudice, Partiality, Inclination, Predisposition, Unfairness
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Bias in research in scientific sources
Bias in research involves systematic errors that skew results in one direction and predispositions that may cause flawed conclusions, often due to conflicts of interest or the use of unscientific methods, undermining the validity of study outcomes.
From: AYU (Journal of Research in Ayurveda)
(1) A predisposition that may lead to flawed conclusions, often stemming from conflicts of interest or unscientific methods.[1]
From: Journal of Indian Society of Periodontology
(1) A systematic error that leads to consistently incorrect results in one direction, affecting the validity of study findings.[2]