EVAL880

Data Analysis, Interpretation and Communicating Your Findings

Data collection for the purpose of program evaluation is an inherently political process. What data is collected, by whom, how it is interpreted, and how it is used (or not) affects policy, organizations and the people they serve. In this module, you will examine data analysis and interpretation, as well as ways to communicate your findings effectively and creatively for transformation and learning. You’ll also consider the notion of reciprocal accountability, deepening your understanding of how funders and others can share key learning back to the people or agencies collecting the data.

Through this module, you’ll critically explore how data has traditionally been used and interpreted, and how it can be better used to influence social change.

This course is available at the following time(s) and location(s):

Campus Session(s) Instructor(s) Cost Seats available  
Online - Kim van der Woerd
Billie Joe Rogers
$950.00 10 Register
Online - Kim van der Woerd
Billie Joe Rogers
$950.00 3 Register

Schedule clarification: Online courses begin on the first date listed and end six days after the last date listed. The interim dates/times are not your actual online class times.

What will I learn?

By the end of this course, you will be able to:

  • Recognize and explain the inherently political nature of data
  • Assess the influence of traditional research paradigms that guide data analysis techniques
  • Create links between quantitative and qualitative data analysis approaches and findings by building on principles of reciprocal accountability
  • Think critically about validity and reliability for quantitative and qualitative data
  • Examine and test validity and reliability through storytelling
  • Integrate the influence of positionality, power and privilege in data interpretation into your professional practice
  • Reflect on Two-Eyed Seeing and learn how to balance worldviews in data interpretation
  • Explain how data can be used for learning, transformation and social change
  • Choose and apply innovative and strengths-based ways to present “bad news” findings as learning opportunities
  • Communicate findings in a range of effective and creative ways, including visual representations

How will I learn?

  • Advance readings
  • Individual and group exercises
  • Case studies
  • Mini-lectures
  • Group discussion

Who should take this course?

This course is suitable for professionals who want to deepen their knowledge of transformative evaluation and learning. 

How will coursework be assessed?

Your coursework will be assessed based on your class participation, in-class assignments and a post-class reflection assignment. 

Textbooks and learning materials

We will provide custom course materials.

Technical information

You’ll access online courses through Canvas, our online learning management system, which is available through the SFU website. Canvas is extremely user-friendly—even if you’ve never studied online before. All you need is a computer with an internet connection. 

You may log into Canvas beginning on the first day of each course. For a list of Canvas-supported operating systems and web browsers, visit our supported web browsers page.

To learn more about Canvas, visit the SFU Canvas Student Guide.