How does bias potentially affect research results?

Bias can significantly distort research outcomes by influencing how data is collected, analyzed, and interpreted. When researchers have preconceived notions, preferences, or misinterpretations, these biases can lead to skewed findings. For instance, if a researcher unintentionally favors a particular outcome, they may selectively report data that supports that outcome while disregarding contradictory information. This ultimately results in incomplete or inaccurate conclusions that do not reflect the true state of the researched phenomenon.

In scientific research, the goal is to arrive at objective, unbiased results that accurately represent reality. When bias enters the equation, it undermines the integrity of the findings, which can have cascading effects on further research, policy-making, and practical applications. Therefore, acknowledging bias and taking steps to mitigate its effects is crucial for ensuring the credibility and validity of research outcomes.