In a research study, mixed method research entails mixing or integrating qualitative and quantitative research and data. Quantitative data usually includes closed-ended responses gathered using questionnaires or any other quantitative tool of data analysis , whereas qualitative data is frequently open-ended with no predetermined responses.
Commonly used Types of Approaches in Mixed Method Research (in Social Sciences)
Convergent Parallel Mixed Method
Convergent parallel mixed methods is a type of mixed methods design in which the researcher combines quantitative and qualitative data to provide a full study of the research problem. In this design, the investigator collects two types of data at nearly the same time and then incorporates the data into the overall results interpretation.
Explanatory Sequential Mixed Method
Explanatory sequential mixed method research is a method whereby a researcher conducts quantitative research first, analyses the findings, and then uses qualitative research to further explain the findings. It is deemed explanatory since the qualitative data helps to explain the initial quantitative data results. Because the quantitative phase is followed by the qualitative phase, it is termed sequential. In sectors with a strong quantitative orientation, this sort of design is prevalent.
Exploratory Sequential Mixed Method
Explanatory sequential mixed technique is the inverse of exploratory sequential mixed method. The exploratory sequential technique begins with a qualitative research phase in which the researcher investigates the perspectives of participants. The information from the data is then used to construct a second, quantitative phase. The qualitative phase can be used to create an instrument that best fits the sample under research, to select relevant instruments to utilize in the quantitative phase, or to indicate variables that need to be included in a quantitative follow-up study. The focus on the right qualitative findings to employ and sample selection for both phases of research are particular challenges for this strategy.
0 Comments