Course Calendar (updated 1/22/20 – 2:30pm)
- Check frequently for updates (you will be notified of them as well)
- Select the tab for your section
Course Syllabus (READ THIS CAREFULLY)
- Texbook: Babin & Zikmund – Essentials of Marketing Research 6th Edition (rent it on Amazon for $30)
- Bring your laptops to class if you have one. Check one out if you do not have one.
- Download Office 365 desktop version – need Excel. You may need to check out a laptop if you only own an iPad/Chromebook. The online version of Office is not full featured. Be sure to get the latest version of Excel
- You have been enrolled in Acadly (check your Temple email), download the app (iPhone, Android), register. Attendance will be taken automatically.
- Qualtrics survey software access. You should have access as an enrolled Fox School student. Please contact IT help desk if you are unable to access.
An example of a decent project in terms of execution and writing. Note that this was not for survey design so your documents will be somewhat different. You should download and read my comments to get an idea for the expectations for writing and logic.
Get started early!
Lecture Materials (tentative until day of lecture)
- Textbook Notes
- Introduction (Ch. 1)
- Stats Review, hopefully
- Sampling, Central Tendency, Dispersion
- Central Limit Theorem + Hypothesis Testing
- Excel Stuff
- Marketing Research Process (Ch. 3)
- Survey Research (Ch. 7)
- Measurement Scales (Ch. 10)
- Survey Design (Ch. 11)
- Experimental Design (Ch. 9)
- Harnessing big data (Ch. 2)
- Human side of research (Ch. 4)
- Qualitative research (Ch. 5)
- Secondary data research (Ch. 6)
- Observational data research (Ch. 8)
In Class Group Assignments
Submit on Canvas, include names of all participating group members on each assignment. DO NOT COVER FOR MISSING TEAMMATES (see syllabus).
- 1 – Summary Stats
- 2 – Hypothesis Testing
- Use the same data from assignment 1.
- 3 – Regression
- Use same data from assignment 1 when specified.
- some guidelines summarized from lecture
- 4 – Data Manipulation
- 5 – Measurement Scales
- 6 – Survey Design
- 7 – Experimental Design
- 8 – Focus Group
- 9 – Data Insights