Composite likelihood is a useful tool when the full likelihood is too complicated. When using composite likelihood, adjustments are needed for accurate results. In this study, researchers focused on adjusting the composite likelihood ratio statistic to make it more reliable. They found a way to adjust it so that it can be compared to a standard statistical distribution. By analyzing two examples using simulation, they showed that their adjustment method works well.