2.4. Data Analysis

The quantitative study responses obtained from the survey were coded and double entered into SPSS v.20 for a descriptive statistical analysis of frequencies and percentages. This was done in order to assess the significance of the vegetables in the study area. The information was summarized and reported in the form of figures and tables. Further, the informant consensus factor (ICF) was calculated to describe the effectiveness of the vegetable for each disease [32, 33]using the formula: ICF = (n − nt)/(n − 1), where n is the number of individual reports of a plant use for a particular illness while nt is the total number of species used by all informants for this illness. Furthermore, the fidelity level FL for the 10 commonly used vegetables for medicinal benefits was calculated as follows: FL = (I_p/I_u) × 100%, where I_p is the number of informants who suggested the use of a species for the same major use (therapeutic), and I_u is the total number of informants who mentioned the plant species for any use [33]. There was no major difference between the reports of the key informants and the general community. Therefore, the information obtained from the key informants was incorporated in that of the general community and reported as a whole.