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Survey Analysis

Dr. Anthony Babinec

Aim of Course:

This course covers the analysis of data gathered in surveys.

Who Should Take This Course:

Anyone who needs to conduct a survey and needs to know how to sample respondents and design questionnaires to produce usable results.

For those enrolled in a Program of Advanced Statistical Studies, this is a required or elective course in the following Programs:

  • Statistics in Business & Marketing - required
  • Statistics for Social Sciences - elective
  • Biostatistics (controlled trials) - elective

Course Program:

The course is structured as follows

SESSION 1: Survey psychometrics
  • Select and apply reliability criteria
  • Select and apply validity criteria
  • Introduction to scaling and scoring
SESSION 2: Beginning your analysis
  • Draft your analysis plan
  • Create a codebook
  • Missing data and outliers
  • Simple summary statistics
SESSION 3: Analyzing your data
  • Relationships and comparisons
  • Common statistical methods
  • Open-ended questions
SESSION 4: Report survey results
  • Summarizing results in tables and charts
  • Know your audience
  • Language to use when describing surveys
  • Checklist of contents when preparing a report

The Instructor:

Dr. Anthony Babinec is President of AB Analytics. For over two decades, Tony Babinec has specialized in the application of statistical and data mining methods to the solution of business problems. Tony has multiple degrees from the University of Chicago, where he studied Advanced Statistics and Survey Research. Before forming AB Analytics, Babinec was Director of Advanced Products Marketing at SPSS; he worked on the marketing of Clementine and introduced CHAID, neural nets and other advanced technologies to SPSS users. He has presented at the AMA's Applied Research Methods Conference and Advanced Research Techniques Forum, the Sawtooth Software Conference, Statistical Innovation's Statistical Modeling Week, and numerous professional meetings. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has held various offices including President. He is on the Editorial Board of the Journal of Targeting, Measurement and Analysis for Marketing.

Organization of the Course:

The course takes place over the internet, at statistics.com. 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 is scheduled to take place over 4 weeks, and 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 and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Certificates and Grades:

You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be enrolled in a statistics.com Program in Advanced Statistical Studies that requires demonstration of proficiency in the subject, in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.

Credit:

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a certificate will be issued by statistics.com, upon request.

Dates:

Aug. 7 - Sep. 4, 2009
Click here to be notified of future course offerings.

Participants gain access to the online materials on the first day of the course, and typically spend about 15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.

Level:

Introductory

Prerequisite:

Familiarity with the material covered in Survey Design and Sampling Procedures is helpful, but not essential. (If you have not covered the topics in that course, we recommend purchasing the books used in it.) Also note that hypothesis tests are covered in this course, but only in a concise procedural fashion. For a more in-depth background on this subject, we recommend one or more courses in our introductory statistics sequence: Basic Concepts in Probability and Statistics, Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data. For additional information about course prerequisites, click here.

Course Text:

The required texts are How to Manage, Analyze, and Interpret Survey Data (Arlene Fink, 2002), How to Assess and Interpret Survey Psychometrics (Mark S. Litwin, 2002), and How to Report on Surveys (Arlene Fink, 2002), which are all included in the Survey Kit, 2nd edition, from Sage Publications. The survey kit can be purchased directly from Sage Publications here. These texts may also be purchased separately by clicking here. Sage Publication offers discounts to students at statistics.com for many of their titles when the code S06SC is used during checkout on their website (the 0 is a zero not an alphabetical O).

Software:

None

Registration:

Register Online - $469
Register Online (academic) - $369 (you must be affiliated with a college, university or high school)

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. Please use this printed registration form, for these and other special orders.

Note: 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.