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Survey Analysis in R
Brief Description:
The purpose of this course is to teach survey researchers who are familiar with R how to use it in survey research.
Instructor(s):Level: intermediate
Who Should Take This Course:
Market researchers and social scientists engaged in design of surveys, and analysis of data resulting from surveys.
Dates:All courses have already commenced.
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Survey Analysis in R
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Please read the syllabus tab, noting the prerequisites, text and software requirements.
Register Online -$499
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Survey Analysis in R
Aim of Course:
The purpose of this course is to teach survey researchers who are familiar with R how to use it in survey research. The course uses the Survey package for R, which was created by the instructor. You will learn how to describe to R the design of a survey; both simple and complex designs are covered. You will then learn how to get R to produce descriptive statistics and graphs with teh survey data, and also to perform regression analysis on the data.
This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):
Prerequisite(s):Course Program:
SESSION 1: Describing the Survey Design to R
- The usual 'with-replacement' approximation
- svydesign()
- svrepdesign()
- Database-backed designs for large surveys
- Full description of multistage surveys
- Creating replicate weights for a design: as.svrepdesign()
SESSION 2: Summary Statistics
- Computing summary statistics and design effects.
- Extracting information from result objects
- Tables of summary statistics
- Contingency tables: svychisq(), svyloglin()
SESSION 3: Graphics
- Boxplots, histograms, plots of tabular data.
- Strategies for weighting in scatterplots: bubble plots, hexagonal binning, transparency
- Scatterplot smoothers.
SESSION 4: Regression
- Linear models
- Generalized linear models
- Proportional odds and other cumulative link models
- Survival analysis
This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.
The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.
Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
- You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
- You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
- You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.
Course Text:
The required text for this course is Complex Surveys: A Guide to Analysis Using R by Thomas Lumley, and it can be ordered from Wiley by clicking here. Wiley typically offers statistics.com customers up to 15% discount on this book (and all other statistics titles): enter the code aff15 in the Promotion Code field when prompted during checkout and click the Apply Discount button. (If you are located in Asia, the web procedure for your location may not accept this discount – try calling your regional Wiley representative.).
Software:
PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.
You must have a copy of R for the course. The course uses the Survey package for R, which was created by the instructor.
Click Here for information on obtaining a free copy of R; the web page for Dr. Lumley's Survey package is here.
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Survey Analysis in RInstructor(s):
Dates:
All courses have already commenced.
Course Fee: $499
Academic Rate: $399
Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.
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