This course covers best practices for survey results analysis and reporting - dealing with missing values, making estimates, combining data from different sources, and selecting the right reporting method to share insights gained through surveys.
This course covers best practices for survey results analysis and reporting - dealing with missing values, making estimates, combining data from different sources, and selecting the right reporting method to share insights gained through surveys.
By the end of this course, you will become familiar with established statistical methods for converting survey responses to insights that can support marketing decisions. Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
Learning Objectives:
During this course, you will have the opportunity to develop the following skills:
- Data quality
- Missing data
- Cluster sampling
- Survey data visualization
- Basic statistics -- sample mean and covariance
Topic Outline:
Building a strong hypothesis
Why hypothesis?
Visioning the final stories in the beginning
Framework of Survey Results Analysis
What a successful data collection looks like?
Questions to ask before analyzing
Quantifying potential error (metrics to test collected data)
Describing the quality of data sources
Predicting common pitfalls
Quantitative research
Statistical models for data-driven decisions
Predicting ¿most-likely¿ outcomes
Sharing insights
The 6 Ws
Static vs. Interactive
How to present results from open-ended questions
How to present results from close-ended questions
When to sharing raw data
Sharing next steps and closing the loop
Best practices library
Statistical relevance - Survey data
Survey data visualization
Training material provided: Yes (Digital format)
Technology training sessions structured around individual or group learning objectives. Learn more about custom training
University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.
Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.