Diplomacy & Politics Glossary

Data integrity ensures information is accurate, consistent, and unaltered throughout its lifecycle to maintain reliability in analysis and reporting.

Incorrectly analyzing or drawing conclusions from data due to misunderstanding statistics or context.

The graphical representation of information to help understand patterns, trends, and insights.

The ability to understand and critically evaluate graphical representations of data to avoid misinterpretation.

A misleading graph visually distorts data to misrepresent the truth or exaggerate a point.

Using numerical data in a way that distorts the truth, often by cherry-picking or manipulating visuals.

Manipulating data or analyses until statistically significant results are found, compromising research integrity.

Sampling bias happens when collected data does not represent the target population accurately.

The difference between a sample statistic and the actual population parameter caused by chance or biased sampling.

The actual list or database from which a sample is drawn for research or surveys.

A bias that occurs when the sample selected does not accurately represent the population intended to be analyzed.

Bias introduced when individuals select themselves into a group, causing the sample to be unrepresentative of the population.