Survey Analysis
This course will teach you how to analyze data gathered in surveys.
Overview
This course covers how to validate, analyze and report results using data gathered in surveys. Students will learn how to select and apply appropriate scaling and scoring metrics, how to create an analysis plan and how to present survey findings in useful tables and charts.
- Introductory
- 4 Weeks
- Expert Instructor
- Tuiton-Back Guarantee
- 100% Online
- TA Support
Learning Outcomes
At the conclusion of this course students will know how to scale, score and report results of statistically valid surveys. They will learn how to interpret simple summary statistics, how to deal with missing data and outliers, and how to use precise language to describe survey findings.
- Select and apply reliability and validity criteria
- Determine appropriate methods for scaling and scoring
- Calculate summary statistics
- Apply typical statistical methods of analysis
- Report results in standard format and language
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.
Our Instructors
Mr. Anthony Babinec
Anthony Babinec is President of AB Analytics, online data mining instructor at Statistics.com. Specializes in application of statistical and data mining methods in solving business problems.
Course Syllabus
Week 1
Survey Psychometrics
- Select and apply reliability criteria
- Select and apply validity criteria
- Introduction to scaling and scoring
Week 2
Beginning Your Analysis
- Draft your analysis plan
- Create a codebook
- Missing data and outliers
- Simple summary statistics
Week 3
Analyzing Your Data
- Relationships and comparisons
- Common statistical methods
- Open-ended questions
Week 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
Class Dates
2025
Instructors: Mr. Anthony Babinec
Prerequisites
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.
Survey Design and Sampling Procedures
- Skill: Introductory
- Credit Options: CEU
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I learned more in the past 6 weeks than I did taking a full semester of statistics in college, and 10 weeks of statistics in graduate school. Seriously.
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Additional Information
Homework
Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.
Course Text
The required texts are Mark Litwin’s book How to Assess and Interpret Survey Psychometrics from Sage (it is part of Survey Kit 2, but you don’t need the whole kit and the book is available on its own), and Arlene Fink, How to Manage, Analyze, and Interpret Survey Data.
Supplemental Information
Literacy, Accessibility, and Dyslexia
At Statistics.com, we aim to provide a learning environment suitable for everyone. To help you get the most out of your learning experience, we have researched and tested several assistance tools. For students with dyslexia, colorblindness, or reading difficulties, we recommend the following web browser add-ons and extensions:
Chrome
- Color Enhancer (for colorblindness)
- HelperBird (for colorblindness, dyslexia, and reading difficulties)
Firefox
- Mobile Dyslexic
- Color Vision Simulation (native accessibility feature)
- Other native accessibility features instructions
Safari
- Navidys (for colorblindness, dyslexia, and reading difficulties)
- HelperBird for Safari (for colorblindness, dyslexia, and reading difficulties)