1 / 11

Synthesizing Data: from noise to music

Synthesizing Data: from noise to music. Fiona Jeffries, MA Brandon Regional Health Authority Data Leading to Action: From Chaos to Clarity January 19, 2009. Where’s my circuit board?. No magic formula Ask more questions! Of your data Of other sources Of the people described in the data.

ewan
Download Presentation

Synthesizing Data: from noise to music

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Synthesizing Data: from noise to music Fiona Jeffries, MA Brandon Regional Health Authority Data Leading to Action: From Chaos to Clarity January 19, 2009

  2. Where’s my circuit board? • No magic formula • Ask more questions! • Of your data • Of other sources • Of the people described in the data

  3. Start with your data • Look at your numbers • What stands out? • Are they what you expected? • Why might they be the way they are?

  4. Start with your data - example

  5. Question your data • Multivariate analysis? • Compare related data within your data set • What are your assumptions? • Do the data seem to confirm them or suggest something else? • What other questions occur to you?

  6. Question your data - example • Multivariate analysis • Does overweight correlate with: • Inactivity • Low Fruit and Vegetable consumption • Feeling safe at school? • What links can we make with other indicators? Correlation ≠ Causation

  7. Look to the sources • What other sources speak to your data? • Population surveys (e.g. CCHS, Census) • Likely more general than your data • Published research (academic journals) • Likely more specific than your data • Differences or similarities? • Do they answer your questions or suggest more questions?

  8. Look to the sources - example • CCHS 2004 • Canadian household population age 12-17 • 29% overweight • Published Research • Abnormal perception of body weight is not solely observed in pubertal girls: incorrect body image in children and its relationship to body weight, H. Ohtahara, et al. Acta Psychiatrica ScandinavicaVolume 87 Issue 3

  9. Ask the subjects • Qualitative data – what people say • Ask the people you studied what they think • Focus groups • World Café discussions • Photovoice • Participatory video • Social networking groups

  10. The circuit board • Your brain – think about what you find • Your team – discuss with others who may know things you don’t know • Explore possible meanings and ways the story can fit together • Loop! • Repeat the steps as needed – this is not a linear process!

  11. Play the tune • The story begins to emerge • Show your data • Describe how the other sources add to the story • Don’t be afraid to point out questions you can’t answer!

More Related