Step 4: Make conclusions from quantitative data Determine if the results are credible by testing for statistical significance. Example 1 You have 96 staff, Commissioners/Ombudspersons at your NHRI. As you have received 57 surveys, your rate of return is 59.4% which will give you a credible result (Fig 21). You can triangulate this finding against those of the document review and focus groups with a relatively high level of confidence that the result is statistically significant. Example 2 You have 240 staff, Commissioners/Ombudspersons at your NHRI. As you have received 57 surveys your rate of return is 23.7%. This is not an acceptable rate of return (Fig 21). The result is not statistically significant and it is not possible to be confident of this result. You can further analyse this data by comparing results against your disaggregated demographic data. The following table gives an example of comparing the responses of female and male members of the NHRI. Excel is useful for making these calculations, from which you can produce graphs that provide a visual understanding of what your data is saying. 79