Associate Professor, Xi'an Jiaotong University, China
Xiaowen Zhu is an associate professor in the Department of Sociology and a research fellow in the Institute for Empirical Social Science Research, Xi'an Jiaotong University, China. Formerly, she was a psychometrician for the Data Recognition Corporation in the United States, working on large-scale state educational assessments. She has a strong theoretical background, operational experience, and research experience in psychometrics and applied statistics. She is especially adept at Bayesian analysis of IRT models and has published journal articles on this subject. In addition, she has used SAS throughout her research career for general statistical analysis and simulation studies. Zhu holds a PhD in research methodology from the University of Pittsburgh.
By This Author
Bayesian Analysis of Item Response Theory Models Using SAS®
Because of its tutorial structure, Bayesian Analysis of Item Response Theory Models Using SAS® will be of immediate practical use to SAS users with some introductory background in IRT models and the Bayesian paradigm.
2015-2016 Society for Technical Communication Carolina Chapter
Award of Excellence
Bayesian Analysis of Item Response Theory Models Using SAS
- Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research.
- Michele M. Burlew designs and programs SAS applications for data management, data analysis, report writing, and graphics for academic and corporate clients.
- Kevin D. Smith has been a software developer at SAS since 1997.