Creating displays from InspireData
( First page > Presentation > Displays)

1. There are numerous advantages of staying inside InspireData (rather than translating displays into PowerPoint)
   1. When you pull up a graphic display of data within InspireData, you can "take a picture" of the display and save it for immediate future viewing.
   2. InspireData will store the sequence of slides for an organized presentation.
   3. You can respond to the occasional spontaneous request for a cut of the data without having to promise some future report and thereby segment the discussion of the data.
   4. Any last minute changes to the data are immediately reflected in the displays.
2. Before you capture a display as a "slide", adjust all the aesthetics you want
   1. Type in a title which captures as much of the actual question as possible.
   2. If it's a condensed scale, insert a note at the bottom of the slide with the component survey items.
   3. Adust the size of the graphics to a comfortable size
   4. Make sure the upper and lower limits of the display correspond to the upper and lower limits of the response option. By default, InspireData will only show the actual range of the data. If it's less than the range of the response options, it produces a visually misleading view of the data.
   5. InspireData allows you to modify the icon used for particular cases. The most useful coding is to highlight the executives or managers in the dataset. People often wonder if executives see the organizational differently than front line staff; coding their icons differently allows for the viewer to immediately see if the distribution of executives is similar or discrepant from the overall distribution.
3. A typical sequence of slides for a complex analysis
   1. The key outcome measures
      Plus any breakouts by demographics if they seem significant.
   2. Distributions for key input measures, ordered by the strength of their impact on the outcome measures
      Plus any breakouts by demographics if they seem significant.
      1. Highlight any unusual distributions (skewed, flat, bimodal)
   3. XY line plots for the strongest contributors plotted against the key outcome measures.

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