Yes, it is possible to conduct and interpret descriptive analyses in rotational panel data. Descriptive analysis is a common method used to summarize and describe the characteristics of a dataset, including measures such as means, standard deviations, and correlation coefficients. These methods can be applied to panel data to summarize the characteristics of the data over time, within individuals or groups, and across variables.
Rotational panel data refers to a type of panel data where survey participants are replaced over time in a specific pattern. This type of panel data can be analyzed using methods similar to those used for traditional panel data, although there may be some specific considerations related to the sampling and selection of participants.