A way of describing phenomena in a non-numerical way. Some of the major categories of qualitative data are: in-depth interviews, direct observations, and written reports (Trochim and Donnelly 2006). While quantitative data are essential for measuring results and gauging impact (Bertrand and Escudero 2002), qualitative data can provide a more nuanced understanding of results.
In KM, it relates to the user’s perception of the quality characteristics of KM outputs in terms of accuracy, authority, objectivity, currency, and coverage (Beck 2009).
A way of describing or measuring phenomena in numerical form (Trochim and Donnelly 2006). See “Qualitative data.”
The design of a quasi-experiment relates to the setting up of a particular type of experiment or other study in which one has little or no control over the allocation of the treatments or other factors being studied (Wikipedia).