CMIN is a popular term used in statistics, referring to the minimum value of a discrepancy function in structural equation models. There are several synonyms used for CMIN, which include Chi-square test statistic, goodness-of-fit index, least-squares discrepancy, regression discrepancy, and model deviance. These terms indicate a degree of difference between the observed data and the expected data, with the lower value indicating a better fit. While CMIN remains the traditional term, the other synonyms help to describe the concept of discrepancy value and its importance in determining the goodness-of-fit of a model. With these synonyms, researchers have more descriptive options to interpret and report their findings.