This course will teach you how to estimate variances for complex surveys and how to model the results using linear and logistic regression and other generalized linear models.
This course will teach you how to estimate variances for complex surveys and how to model the results using linear and logistic regression and other generalized linear models.
Complex sample designs such as cluster sampling and stratified designs make it possible to extract maximum information at minimum cost, but they are typically harder to work with than simple random samples. How do you analyze the resulting data – in particular, how do you determine margins of error? This course teaches you how to estimate variances when analyzing survey data from complex samples, and also how to fit linear and logistic regression models to complex sample survey data.
Students who complete this course will gain a basic understanding of applied survey data analysis and complex sample design. The course covers foundational statistics for finite populations and superpopulation models, descriptive statistics and a variety of regression models.
Anyone designing surveys or analyzing survey data.
Overview
Overview Continued
Descriptive Statistics
Regression Models
Aug 21, 2020 to Sep 18, 2020
Oct 9, 2020 to Nov 6, 2020
No classes scheduled at this time.
No classes scheduled at this time.
You should have some familiarity with logistic regression, which is covered in several Institute courses (Logistic Regression, GLM, Categorical Data Analysis). You should also be familiar with basic survey design and analysis, as covered in these courses:
The material covered here will be indispensable in my work. I can't wait to take other courses. Great work!
This course takes place online 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.
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.
This is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing.
The homework in this course consists of short answer questions to test concepts, guided exercises in writing code and guided data analysis problems using software.
In addition to assigned readings, this course also has example software codes, supplemental readings available online, and an end of course data modeling project.
The course text is Applied Survey Data Analysis 2nd Edition, by Steve Heeringa, Brady West, and Pat Berglund.
Please order a copy of your course textbook prior to course start date.
The course will be driven by learning how to use specialized software procedures for the analysis of complex sample survey data, using real data sets, and exercises will be selected from the book chapters. Participants could use R, WesVar, or IVEware (free packages) or SAS, Stata, SUDAAN, or SPSS (commercial packages, with SPSS users required to purchase the Complex Samples Module). If you plan to use other software, check to be sure that it can analyze data from complex survey designs (clustered, stratified, multistage, etc.).
Software Uses and Descriptions | Available Free Versions
To learn more about the software used in this course, or how to obtain free versions of software used in our courses, please read our knowledge base article “What software is used in courses?”
Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.
Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.
Group Rates
Contact us to get information on group rates.
Discounts
Academic affiliation? In most courses you are eligible for a discount at checkout.
New to Statistics.com? Click here for a special introductory discount code.
Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.
This course is eligible for the following credit and recognition options:
No Credit
You may take this course without pursuing credit or a record of completion.
Mastery or Certificate Program Credit
If you are enrolled in mastery or certificate program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.
CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.
There is no supplemental content for this course.
There is no additional information for this course.
