 Dear student, in mixed method research methodology, we are studying the concurrent approach. And now we are going to study the second research design of the concurrent approach, which is concurrent embedded research design. In our concurrent embedded approach, both quantitative and qualitative data are collected simultaneously and this approach has a primary method that guides the project and a secondary database that provides a supporting role in the procedures. As we studied the embedded design with Sequential, similarly we have studied the embedded design in the concurrent approach. What happens in this is that one method is your primary method and the other is your secondary method. If your qualitative primary method is there, then your quantitative secondary method is there. If your quantitative primary method is there, then your qualitative secondary method is there. We actually use this research design in most of experimental studies in which we actually conduct a quantitative study and we try to empower the results of that study with qualitative observations as well. Just like, see this picture in which it is clearly shown that your pre-test data results are of quantitative study, then post-test data results are after the intervention. But meanwhile, we are also doing qualitative observations. We are holistically interpreting how the results of quantitative research are conforming to the qualitative observations or findings and whether there is any discrepancy or not. So what are the advantages of this research design? This research design enables the researcher to collect the two types of data simultaneously during a single data collection phase. It provides a study with the advantages of both quantitative and qualitative data. And if we talk about the disadvantages, the data need to be transformed in some way so that they can be integrated within the analysis phase of the research. In this case, we triangulate the data on the analysis phase. So for this reason, you should have enough skills to do this work. If the two databases are compared, discrepancies may occur that need to be resolved. If there is a discrepancy in quantitative and qualitative data, then you have to resolve it. This approach also results in unequal evidence within a study. So it is possible that your qualitative observation does not inform the quantitative finding. So this is a limitation of the study when we are reporting the results and interpreting the results.