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Response bias is a general term for a wide range of tendencies for participants to respond inaccurately or falsely to questions. ... History of research
Recall bias is a type of measurement bias, and can be a methodological issue in research involving interviews or questionnaires. In this case, it could lead to misclassification of various types of exposure . [ 2 ]
Bias implies that the data selection may have been skewed by the collection criteria. Other forms of human-based bias emerge in data collection as well such as response bias, in which participants give inaccurate responses to a question. Bias does not preclude the existence of any other mistakes.
Acquiescence bias, also known as agreement bias, [1] is a category of response bias common to survey research [2] in which respondents have a tendency to select a positive response option [1] [3] or indicate a positive connotation disproportionately more frequently.
Academic research has disputed substantial linkages between response rate and non-response bias. A meta-analysis of 30 methodological studies on non-response bias by Robert M. Groves found that the coefficient of determination for variance in non-response bias by response rate was only 0.11, making it a weak predictor of non-response bias ...
In social science research social-desirability bias is a type of response bias that is the tendency of survey respondents to answer questions in a manner that will be viewed favorably by others. [1] It can take the form of over-reporting "good behavior" or under-reporting "bad" or undesirable behavior.
The publication or nonpublication of research findings, depending on the nature and direction of the results. Although medical writers have acknowledged the problem of reporting biases for over a century, [12] it was not until the second half of the 20th century that researchers began to investigate the sources and size of the problem of reporting biases.
Social science research is particularly prone to observer bias, so it is important in these fields to properly blind the researchers. In some cases, while blind experiments would be useful, they are impractical or unethical. Blinded data analysis can reduce bias, but is rarely used in social science research. [39]