Ordinal data is a type of categorical data which is recently frequently used in the analysis of longitudinal data. Ordinal longitudinal data can be modeled and analyzed by generalized linear mixed models. Missingness and overdispersion are two kind of important issues which can be handled in this type of data and also they can be controlled in joint modeling of ordinal longitudinal and count longitudinal data.