Description: GAMMA is a statistical measure used to evaluate the relationship between variables in a dataset. In the context of statistics, GAMMA refers to a coefficient that measures the ordinal association between two categorical variables. This coefficient is particularly useful in analyses where the variables have a natural order, such as in satisfaction surveys or rankings. GAMMA takes values between -1 and 1, where 1 indicates a perfect positive association, -1 a perfect negative association, and 0 suggests no association. Unlike other correlation coefficients, GAMMA is robust against the presence of outliers and is particularly effective in situations where the variables do not meet normality assumptions. Its calculation is based on the comparison of pairs of observations, allowing for the identification of patterns of concordance and discordance between the variables. This feature makes it a valuable tool in various disciplines, including psychology, sociology, and economics, where a deep analysis of non-linear relationships between categorical variables is required. In summary, GAMMA is a measure that provides a clear insight into how variables relate within a dataset, facilitating the interpretation of results in research and statistical studies.
