Survey Analysis

Part 1 Create Survey Create a survey or questionnaire that could be used and collect data for a purpose or project of your choice. The idea is to think through the process and identify questions that would assist you in understanding how data is collected to make meaningful data visualizations.
Your survey should consist of at least 25 questions, include at least five items to collect demographic information.

Within your survey include a at least three of the following in addition to the 5 demographic questions.

At least:
3 multiple choice questions
3 Yes or No questions
3 Likert Scale Question
3 Open Ended questions
Part 2 Administer Survey Distribute and collect your survey from 30 participants. (Your classmates are not your participants for your survey project, you will need to give your survey out to people who may be interested in your topic. You can give your survey to: Friends, Family, Co-worker, Employers, Other Students etc.)

Remember to stay safe with when collecting data. It is best to collect your data online, using online surveys as we are in the middle of a pandemic.
Part 3 Analyze Results Compile your survey data into a spread sheet (Excel) or some other tool (this is your raw data)

Evaluate and analyze your survey data to brainstorm creating visual presentations of your data. You should include a variety of data visualization tools such as: tables, charts, graphs, plots etc. Be reasonable but creative with your data presentation. * Microsoft Excel offers a variety of tools.*
Part 4 Create Data Visualization Create a visual presentation of your survey results
Part 5 Complete Journal Reflect on your development of each part of the survey project. An optional template has been provided

Make sure your complete Journal Reflection includes:
I. An Abstract
II. A detailed description of your process for completing each of part of the project. Parts 1-4.
III. Include a Reference Page (this is for any outside sources that you may have used)
IV. Appendix
o Your survey
o Raw data
o Your data visuals

Sample Solution