 The second research design of mixed method research methodology is sequential explorative research design. This research design is basically appealed to the researcher with strong qualitative leanings. The qualitative researchers like this design more. This design is characterized by the collection and analysis of qualitative data in a first phase of research followed by the collection and analysis of quantitative data in a second phase. That is, we collected quantitative data in the explanatory design and now we will collect qualitative data in the explorative design and then go to the quantitative data base. It is typically given to the qualitative data. The data are mixed through being connected between the qualitative data analysis and the quantitative data collections. Two forms of data are separate but connected. If a new phenomenon has emerged in society or a new social problem has arisen, then we first study qualitative data and then we make it a quantitative mechanism based on it. For example, we need a new scale, then we will study qualitative data first and then we will go to quantitative data after understanding its dimensions. So this design is very useful in this situation when you have to develop a scale and after developing a scale, you have to check its criterion validity. This design may or may not be implemented within an explicit theoretical perspective. Theoretical perspective is also used explicitly and sometimes we also avoid it. If we talk about its advantages, then the primary focus of this model is to initially explore a phenomenon. For example, I have already told you that this design is more useful when you want to explore a phenomenon. Let's give me an example of the smoke in Pakistan. The phenomenon of smoke has emerged in Pakistan 5-6 years ago and before that the problem as such did not exist at such a large scale level in Pakistan. So as soon as the problem of smoke emerged, then the call for action came from the government and from the INGOs, the researches started to be discussed. So to understand this phenomenon, first of all, there was a need for qualitative studies to understand why this phenomenon is emerging. The main dimension of this phenomenon is how much human involvement is and how the ways of involvement is in human involvement. Then we can study quantitatively on that basis. Similarly, recently when the time period of corona came, as a pandemic was declared, people became very scared and very worried. At that time, people also studied the fear of COVID-19. So first, a qualitative study was done to find out whether people are also afraid of this phenomenon. So scale was developed on the basis of this phenomenon and today the fear of COVID-19 is a global scale that is being used to predict mental health. It can also be used to generalize qualitative findings to different samples. So on the basis of this design, the findings can be replicated in other samples as well. In other words, when we do qualitative studies without MMR, we say that the context is specific, it is not generalizable and it is limited to this population. If we are doing a qualitative study in MMR, we can generalize the main focus. Researcher needs to develop an instrument because existing instruments are inadequate or not available. So as I told you earlier, if a phenomenon emerges, we develop instruments on the basis of qualitative studies and then we study quantitatively. If we talk about its disadvantages, it requires a substantial length of time. For example, the problem of overall MMR design requires extensive time and financial constraints are also there. And the researcher has to make some key decisions about which findings from the initial qualitative phase will be focused on in the subsequent quantitative phase. What will be the group that will be involved in the quantitative study and how will the research questions be. These are some key challenges that you can face in this design.