Biases and Assumptions

Definition

Biases and assumptions are preconceived notions or beliefs that can influence research findings or interpretations in a subjective manner. Biases refer to personal preferences or prejudices that may skew results, while assumptions are underlying beliefs taken for granted without sufficient evidence.

Related terms

Confirmation Bias: Confirmation bias is when researchers selectively seek out information that confirms their existing beliefs while ignoring contradictory evidence.

Implicit Bias: Implicit bias refers to unconscious attitudes or stereotypes that affect our judgments about individuals or groups.

Research Validity: Research validity refers to the extent to which a study accurately measures or reflects the concept it claims to be studying. Biases and assumptions can impact validity if they introduce errors or distortions.