Single-predictor and stepwise multinomial logistic regression analyses and an external validation were completed on 3,082 allegations of employment discrimination by adults with multiple sclerosis. Women filed two thirds of the allegations, and individuals between 31 and 50 made the vast majority of discrimination charges (73%). Allegations occurred most frequently in industries with the largest number of employees (501 or more). Results of the single-predictor multinomial logistic regression analyses identified gender and company size as the two predictors, findings that were mirrored in the main effects model developed through the stepwise multinomial logistic regression analyses. Women were more likely than men to allege discrimination related to harassment and intimidation rather than to discharge. Workers in the smallest companies were less likely than workers in the largest companies to allege discrimination regarding reasonable accommodation, working conditions, or employment benefits and more likely to allege discrimination related to discharge. Cross-validation results provided mixed support for the main effects model.