Explanatory sequential design is a mixed methods research approach that involves collecting and analyzing quantitative data first, followed by qualitative data to help explain or build upon the initial quantitative findings. This method is particularly useful for understanding complex phenomena by allowing researchers to explore numerical trends and then gain deeper insights through participant perspectives. It effectively combines the strengths of both quantitative and qualitative research methodologies to provide a more comprehensive understanding of the research question.
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