Advantages Of Qualitative Data Analysis

There are two fundamental approaches to qualitative data analysis: deductive and inductive approaches. This study used an inductive approach. In its purest form, qualitative analysis is led by an inductive approach (Strauss & Corbin, 1998). “Inductive analysis means that the patterns, themes, and categories of analysis come from the data; they emerge out of the data rather than being imposed on them prior to data collection and analysis” (Patton, 1980:306). The inductive approach involves analyzing data with little or no predetermined theory, structure or framework. It uses the actual data to drive the structure of analysis (Burnard et al, 2008:429). This approach is comprehensive, but time-consuming. It is most suitable where little or nothing is known about the study phenomenon. Inductive analysis is the most common approach used to analyze

This research paid attention to the particular context, particular respondent and relied on a single method to understand the situation for interpretative knowledge contribution in Bangladesh. This research is not without its limitations. The main limitation is that the conclusions of a case study conducted in Bangladesh for producing knowledge might not be generalizable to the strategic institutional capacity for solid waste management in other developing countries. Certainly, the study will expound on the ideas presented in the study in a descriptive nature but it would be difficult to make quantitative predictions on the research context. Another disadvantage of qualitative approaches is that findings cannot be extended to wider populations with the same degree of certainty that quantitative analyses can due to the lack of statistical significance. In addition, the analysis of this research was not checked, verified and validated by respondents (participants) due to time and financial