Speaker: Professor Eldon Y. Li

Time: 13:30-15:00, April 10

Venue: Rm 206 , Tongji Building A

Abtract:

Conventional survey studies usually collect individual data from different groups and analyze them independently in each group, unless there is no significant group difference. In contrast, multilevel data analysis allows individual data with organizational differences to be included in one linear model by treating these differences as higher-level independent variables.  Such kind of model is known as hierarchical linear model (HLM). This lecture introduces various data models and discusses why, when, and how to perform multilevel data analysis. The applications of multilevel data analysis are elucidated using two published studies in information systems field.