The Multilevel Data and its Research in Mass Communication

摘要：

Mass communication processes compel multilevel consideration, and one of the modeling techniques to multilevel data analysis is hierarchical linear models (HLM). There were some studies which used hierarchical linear models to analyze mass communication issues, such as predicting success of US films in foreign markets, memory for TV content, and effect of news media consumption on political participation, and so on. Based on the multilevel data in mass communication, this article introduces the hierarchical linear models and its new applications, and reviews the different methods and statistical models in different mass communication researches.

关键词： Multilevel Data Mass Communication Hierarchical Linear Models HLM

作者: MIN Suqin HE Xiaoqun

作者单位: Center for Applied Statistics, Renmin University of China, P.R.China, 100872 Science School, Communi Center for Applied Statistics, Renmin University of China, P.R.China, 100872

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-5

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）