Sampling Bias - Occurs when the sample chosen for a study is not representative of the target population. This can happen if participants are selected based on criteria that are related to the outcome being studied. Impact - Results may not be generalisable to the broader population, Selection Bias - A specific type of bias where certain members of the population are less likely to be included in the sample than others. Impact - Overrepresentation or underrepresentation of particular groups, leading to skewed results., Confirmation Bias - The tendency to favor information that confirms pre-existing beliefs or hypotheses while disregarding or minimizing evidence that contradicts them. Impact: Can lead to the selective reporting of results and misinterpretation of datases while disregarding or minimizing evidence that contradicts them., Recall Bias - A type of information bias where participants may not accurately remember or report past events or experiences. Example: In retrospective studies, participants may be more likely to remember significant events than minor ones. Impact: Inaccurate data, leading to biased results., Observer Bias - Occurs when researchers' expectations or knowledge about the study influence the outcome of their observations or assessments. Example: If a researcher knows which participants are in the control group, they might unconsciously interpret their behavior differently. Impact: Can lead to inaccurate or biased results, especially in subjective assessments., Reporting Bias - The selective revealing or suppression of information by researchers, which can occur when only certain outcomes are reported while others are ignored. Example: Only reporting positive findings while omitting non-significant or negative ones. Impact: Misleading conclusions about the effectiveness or safety of interventions., Funding Bias - When the outcome of research is influenced by the interests of the organization or group funding the study. Impact: Results may be skewed to favor the sponsor’s product, service, or perspective., Design Bias - Bias introduced by the way a study is designed, which can include issues with how participants are randomized or how control groups are selected. Impact: Can lead to systematic differences between groups that affect outcomes, Cultural Bias - Occurs when research reflects the norms, values, and perspectives of the researchers' culture, potentially ignoring or misrepresenting other cultural contexts. Example: Research designed in one cultural context may not be applicable or valid in another. Impact: Limits the applicability of findings across diverse populations.,

Research Biases

by
Print
Embed

Leaderboard

Visual style

Options

Switch template

Continue editing: ?