CYBHI NEES Toolkit
If more than one person from an organization completes the survey, first calculate that organization’s average rating of the other organization. To do this, add all of their ratings of the other organization together and divide by the number of people who responded about the other organization. Then use those organization-level averages to calculate the mutual score. Example (one respondent from each organization): One person from Organization A rates the relationship with Organization B as 2, and one person from Organization B rates the relationship with Organization A as 3. The mutual strength score is (2 + 3) ÷ 2 = 2.5. Example (multiple respondents from an organization): Three people from Organization A rate the relationship with Organization B as 2, 3, and 2. A’s average rating of the relationship is (2 + 3 + 2) ÷ 3 = 2.33. One person from Organization B rates the relationship with Organization A as 4. The mutual strength score is (2.33 + 4) ÷ 2 = 3.17 .
Handling one-way data When analyzing the strength of a relationship, ratings from both organizations reflect the shared perception of that partnership. However, sometimes only one organization provides a rating for the relationship. You can either: 1. Use the available rating as the strength score . For example, if A rates B but B does not respond, you use A’s rating as the strength score. 2. Exclude the pair. You might select this option if you want to focus only on fully reciprocal data, although you can add the pair back in once both organizations complete the survey.
Choose the approach that best fits your goals and your level of missing data.
Additional Helpful Metrics
These are additional metrics that can be easily calculated with your results:
1. County-wide average integration score. Average of all mutual strength scores.
• This metric provides a single number that a county can track periodically to assess how collaboration changes over time.
2. Integration score for each organization. Average of an organization’s mutual strength scores.
3. Count of strong connections . Number of relationships above a chosen threshold.
Step 4: Visualize the network Visualizing your network helps make patterns easier to see. A good visualization can highlight strong partnerships, show isolated organizations, and identify which sectors tend to work closely together. This visualization might look like:
Mathematica ® Inc.
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