Bias Dikastis-Bias Detection Tool

Example

Detecting 'Observer Bias' in ethnographic studies where the presence and beliefs of the researcher might influence participant behavior and data interpretation.

Scenario

A researcher studying community rituals may subconsciously emphasize data that supports their hypothesis about the role of rituals in community cohesion, overlooking contradictory evidence.

Example

Identifying 'Sampling Bias' in public opinion polls, particularly when the sample does not accurately represent the broader population.

Scenario

In an election poll, if the survey predominantly samples urban areas while neglecting rural voter opinions, the results could falsely predict electoral outcomes favoring urban-centric policies.

Example

Highlighting 'Publication Bias' in systematic reviews that only include studies with positive outcomes, ignoring studies with negative or inconclusive results.

Scenario

A medical systematic review focusing only on published studies showing the effectiveness of a new drug may omit unpublished studies that did not show significant benefits, leading to an overly optimistic assessment of the drug's efficacy.

Example

Examining 'Blinding Bias' where knowledge of the treatment allocation affects participant behavior or outcome assessment.

Scenario

In a clinical trial testing pain medication, if participants know they are receiving the active drug rather than a placebo, their perception of pain relief might be influenced, thus affecting the study's conclusions about the drug's effectiveness.