The Kaiser-Meyer-Olkin (KMO) Test measures the adequacy of sample size for factor analysis, indicating whether data is suitable for such analysis by evaluating the proportion of variance among variables that might be common variance. A KMO value closer to 1 suggests that factor analysis may be useful, while a value closer to 0 indicates that it may not be appropriate due to insufficient shared variance among variables.