Experimental Design

Introduction: Experimental Design

Experimental design refers to the structured planning of research studies to test hypotheses, establish relationships, and minimise bias. It determines how variables are manipulated and measured to generate valid and reliable results.

Background

Rooted in scientific methodology, experimental design became formalised in the 20th century through statisticians such as R.A. Fisher. Today, it is used in natural sciences, social sciences, medicine, and business research.

Key Elements / Features

• Independent and Dependent Variables: Core elements of experiments.
• Control Groups: Provide a baseline for comparison.
• Randomisation: Ensures fair distribution of participants.
• Blinding: Minimises bias from researchers or participants.
• Replication: Repeating studies confirms results.

Applications / Examples

• Medical Trials: Testing new treatments using control and experimental groups.
• Psychology: Measuring behavioural responses under controlled conditions.
• Business Research: A/B testing in marketing campaigns.

Relevance / Impact

Well-designed experiments provide reliable evidence for theories, treatments, or strategies. They reduce bias, support causality, and enhance reproducibility, ensuring that research findings are trustworthy.

See also

• Reliability and Validity
• Sampling Methods
• Statistical Error
• Bias in Samples and Tests