# Pengertian Percentage Agreement

Percentage agreement, also known as inter-rater reliability, is a statistical measure that determines the consistency and agreement between two or more individuals’ judgments or ratings. This measurement is often used in research studies, surveys, and other data analysis to ensure accuracy and reliability of the results.

Simply put, percentage agreement is a way to measure how much two or more people agree on something. It can be used to determine the level of consistency in data and to identify patterns or trends in the information being analyzed.

For example, let`s say that a group of researchers is conducting a survey on the effectiveness of a new marketing campaign. They want to ensure that the results of the survey are reliable, so they use percentage agreement to measure how much agreement there is between the survey participants’ responses.

To do this, the researchers will have two or more individuals review the survey responses and make judgments about the effectiveness of the marketing campaign. They will then compare their judgments to determine the percentage of agreement between them.

If the percentage agreement is high, it means that there is a high level of consistency in the responses and that the data can be relied upon. If, on the other hand, the percentage agreement is low, it means that there is a high level of discrepancy in the responses, which may indicate a need for further investigation.

Percentage agreement can be calculated using a simple formula. To do this, you divide the number of agreements between the individuals by the total number of judgments made and then multiply the result by 100. This will give you the percentage of agreement between the individuals.

In conclusion, percentage agreement plays a crucial role in ensuring the accuracy and reliability of research studies, surveys, and other data analysis. By using this measurement, researchers can determine the level of consistency between judgments, identify patterns in the data, and ensure that the results of their work can be trusted.