Presented By: Summer Institute in Survey Research Techniques
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques
Course presented by Brady T. West
Analysis of Complex Sample Survey Data
Brady T. West
June 3-July 26, 2024
M and W (9:00am-11:00am) F (10:00am-12:00pm)
Classes are open for registration. You do not have to be affiliated with the University in order to attend.
The mission of the Summer Institute in Survey Research Techniques (SISRT) is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the art practice and theory in the design, implementation, and analysis of surveys.
Space is limited so please register early! Since our courses are not for academic credit, fees are based on the number of assigned “course hours” to each class.
Please view the 2024 course schedule for our extensive class offerings. Classes are offered remotely at their scheduled times.
This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.
Why take this course?
To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
To see various examples of applied statistical analyses of survey data
To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper
Brady T. West
June 3-July 26, 2024
M and W (9:00am-11:00am) F (10:00am-12:00pm)
Classes are open for registration. You do not have to be affiliated with the University in order to attend.
The mission of the Summer Institute in Survey Research Techniques (SISRT) is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the art practice and theory in the design, implementation, and analysis of surveys.
Space is limited so please register early! Since our courses are not for academic credit, fees are based on the number of assigned “course hours” to each class.
Please view the 2024 course schedule for our extensive class offerings. Classes are offered remotely at their scheduled times.
This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.
Why take this course?
To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
To see various examples of applied statistical analyses of survey data
To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper
Cost
- Fees are based on duration of the course. Please see Summer Institute website.
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