- Survey Research Center
- Prospective Students
- About Us
Professor of Statistics and Director of the SRC
Ginny received her doctorate in Biostatistics in 1992 and became the Director of the Survey Research Center in 1993. She is also an Associate Professor in the Department of Statistics and is responsible for teaching sampling and other statistical methods courses. Her research was in survey sampling focusing on the determination of cost-efficient survey designs. She is responsible for determination of sample size to meet the precision desired in the study objectives. She also recommends the statistical analyses to meet the survey objectives. She supervises all funded projects and is responsible for the preparation of the final study report. Her current research interests are in nonsampling errors, primarily in researching methods to reduce and adjust for nonresponse errors.
Senior Faculty Research Assistant
Lydia began working for the Survey Research Center in April of 1999 after completing an Integrated Master's degree in Economics, Geography and Rangeland Resources. Lydia is responsible for the design, implementation and data collection of all SRC funded projects. She will be happy to meet with faculty, staff or students and give advice on questionnaire construction, survey implementation and data input. Lydia also teaches ST 439/539 (Survey Methods) during summer sessions.
Faculty Research Assistant
Jeannie does survey data analysis for the SRC. Her background is in data analysis and environmental statistics and she has been working at Oregon State University since 1992. Her interests are in community data analysis, classification and regression trees, data analysis and programming in R and survey design and analysis in SAS.
Graduate Research Assistant
Laura does data analysis for the survey research center. She has a Master's degree in statistics from Oregon State University and is currently working on her Ph.D in statistics. Her research interests are in respondent driven sampling and non-response adjustment methods for social science and public health applications.