Replication (statistics)

In engineering, science, and statistics, replication is the process of repeating a study or experiment under the same or similar conditions to support the original claim, which is crucial to confirm the accuracy of results as well as for identifying and correcting the flaws in the original experiment.

[1] ASTM, in standard E1847, defines replication as "... the repetition of the set of all the treatment combinations to be compared in an experiment.

For a full factorial design, replicates are multiple experimental runs with the same factor levels.

The second type of replication is called “conceptual replication.” This involves testing the same theory as the original study but with different conditions.

[3] For example, Testing the same diet's effect on blood sugar levels instead of weight loss, using different measurement methods.

[5] Replicates Example: Testing a new drug's effect on blood pressure in separate groups on different days.

In replication studies within the field of statistics, several key methods and concepts are employed to assess the reliability of research findings.