MKTG-4154: Marketing Research
Description: This course is a study of the scientific process of problem solving in a marketing context. It includes concepts of problem definition, hypotheses generation, questionnaire development, research design, implementation, analysis, and interpretation of statistical findings. Junior standing required.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 43
Average GPA: 3.25 (rounds to B+)
Strict A Rate (No A-) : 25.13%
Average Withdrawal Rate: 1.52%
Paul M Herr | 2024 | 20.5% | 41.5% | 31.7% | 4.7% | 0.0% | 1.7% | 2.77 | 11 |
Shilpa V Rao | 2024 | 29.7% | 51.4% | 13.9% | 1.3% | 1.4% | 2.2% | 3.03 | 6 |
Juncai Jiang | 2021 | 42.5% | 49.5% | 7.6% | 0.0% | 0.0% | 0.4% | 3.32 | 7 |
Zhange Ni | 2024 | 30.1% | 63.2% | 0.0% | 0.0% | 0.0% | 6.8% | 3.32 | 2 |
Kimberly Daniloski | 2019 | 76.8% | 23.2% | 0.0% | 0.0% | 0.0% | 0.0% | 3.66 | 1 |
Myojoong Kim | 2021 | 60.0% | 36.7% | 3.3% | 0.0% | 0.0% | 0.0% | 3.54 | 2 |
David L Brinberg | 2023 | 97.8% | 2.2% | 0.0% | 0.0% | 0.0% | 0.0% | 3.95 | 2 |
Steve C Matuszak | 2024 | 9.7% | 48.4% | 35.5% | 3.2% | 0.0% | 3.2% | 2.66 | 1 |
Debjit Gupta | 2020 | 86.5% | 10.6% | 2.3% | 0.7% | 0.0% | 0.0% | 3.80 | 2 |
Staff Preedom | 2019 | 65.3% | 29.5% | 5.0% | 0.0% | 0.0% | 0.0% | 3.55 | 2 |
Angela Yi | 2023 | 49.4% | 38.9% | 10.9% | 0.8% | 0.0% | 0.0% | 3.34 | 3 |
Boya Xu | 2024 | 81.9% | 11.8% | 1.4% | 0.0% | 0.0% | 4.9% | 3.76 | 3 |
Rowena C Crabbe | 2020 | 98.4% | 1.6% | 0.0% | 0.0% | 0.0% | 0.0% | 3.90 | 1 |