Part III. Analyzing the Quantitative DataA. Getting started Qualitative and Quantitative Data: A problem emerged that made this stage of the project difficult: team members were unsure how to mesh the qualitative input received with the quantitative data. All in all, 108 responses were obtained during the three-week survey period. The team was concerned about this and also about how to manage the data they did collect. After entering the comments into an Excel spreadsheet, so that they could be printed, a consultant was called in to give suggestions on how to start the analysis. Quantitative Data: For the numeric responses (the quantitative data) the consultant suggested creating a scatter chart of aggregated data, grouped by user type. Aggregated data is a set of individual responses that have been grouped together. So rather than analyzing individual responses to the survey, the data was aggregated by user group, for example, undergraduate students, graduate students, faculty, etc. This allows useful comparisons to be made and averages and other significant calculations to be made. A scatter chart or scatter diagram shows relationships between variables. In this case, the variables are Satisfaction and Importance. In this project, a scatter diagram was used to graphically depict the data gathered from each question. Let's continue.
Overview |
Context |
Gathering Data |
>Quantitative Data< |
Qualitative Data |
Implementing Changes |
Conclusion
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