Archibald's criterion

Archibald's criterion is a method used in research to determine the right sample size for an experiment or study. It helps ensure the results will be reliable and meaningful by balancing the need for enough data to detect real effects against the resources required to collect that data. Essentially, it guides researchers to gather enough participants or observations so they can confidently identify true differences or relationships, minimizing errors. This systematic approach improves the accuracy and validity of study findings, making sure conclusions are based on solid evidence without unnecessary excess of data.