ABSTRACT
The basic idea behind much mixed methods research is that many research questions are like the questions in the deforestation and nature tourism examples. Generally speaking, data collection for the quantitative and qualitative components of a mixed methods study is informed by the best practices of those respective methodologies. Data collection for a mixed methods study is informed by the best practices of each methodology. In mixed methods research, data analysis is made a bit tricky by the fact that collection of quantitative and qualitative data often proceeds under different premises. Mixed methods research has become increasingly popular in recent years, as the methodology has become increasing refined and computer-based tools have emerged to address some of the practical issues of implementation. Sequential explanatory strategy and sequential exploratory strategy require the collection of both quantitative and qualitative data. An alternative to either of these sequential strategies is to pursue a concurrent strategy.
