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Common source bias is a type of sampling bias, occurring when both dependent and independent variables are collected from the same group of people. This bias can occur in various forms of research, such as surveys , experiments , and observational studies . [ 1 ]
To complement blind or masked protocols and research, further strategies including standardised training for observers and researchers about how to record findings can be useful in the mitigation of observer bias. [1] Clear definition of methodology, tools and the time frames allocated for the collection of findings can assist in adequately ...
Reporting bias occurs when the dissemination of research findings is influenced by the nature and direction of the results, for instance in systematic reviews. [ 5 ] [ 6 ] Positive results is a commonly used term to describe a study finding that one intervention is better than another.
Publication bias is a type of bias with regard to what academic research is likely to be published because of a tendency among researchers and journal editors to prefer some outcomes rather than others (e.g., results showing a significant finding), which leads to a problematic bias in the published literature. [139]
Academic bias is the bias or perceived bias of scholars allowing their beliefs to shape their research and the scientific community. It can refer to several types of scholastic prejudice, e.g., logocentrism , phonocentrism , [ 1 ] ethnocentrism or the belief that some sciences and disciplines rank higher than others.
Response bias is a general term for a wide range of tendencies for participants to respond inaccurately or falsely to questions. These biases are prevalent in research involving participant self-report, such as structured interviews or surveys. [1] Response biases can have a large impact on the validity of questionnaires or surveys. [1] [2]
One topic of research and discussion is the definition of fairness, as there is no universal definition, and different definitions can be in contradiction with each other, which makes it difficult to judge machine learning models. [3] Other research topics include the origins of bias, the types of bias, and methods to reduce bias. [4]
In the social sciences, triangulation refers to the application and combination of several research methods in the study of the same phenomenon. [1] By combining multiple observers, theories, methods, and empirical materials, researchers hope to overcome the weakness or intrinsic biases and the problems that come from single method, single-observer, and single-theory studies.