Mixed methods research refers to an approach that combines quantitative as well as qualitative methods which offer a comprehensive method for understanding the context of a research problem [1]. Utilizing these two methods separately will be fruitful, but to create a 360-degree perspective of the phenomenon being researched, using both quantitative and qualitative data is likely advantageous.
Essential Features of Mixed Methods Research
Multiple methods can be used to corroborate findings and increase validity by triangulation.
Complementarity : Qualitative and quantitative methods together give us a fuller picture.
Expansion: One approach extends the results of another.
Track One: How one thing influences another
Embedded Design: It means embedding one method inside other.
Mixed Methods Design Types
Convergent Design: Collects and analyzes quantitative and qualitative data at the same time.
Explanatory Sequential Design: Gathers quantitative data on the first stage and qualitative data to explain the quantitative results on the second.
Exploratory Sequential Design — Qualitative data are collected first to explore a phenomenon, followed by quantitative data collected to test hypotheses.
Transformational Design: Involves theory to direct the research process and to change social conditions.
This approach does, however, present some challenges and considerations:
Rigor in Method: The quality of quantitative and qualitative data collection, coding and analysis.
Opposed to single-method studies, mixed methods research can be more time-consuming and resource demanding.
Analysis and interpretation of data: The combining process of quantitative with qualitative is sometimes cumbersome.
Advantages of Mixed Methods Research
A fuller picture of the research problem:
Greater Validity: The validity of the findings can increase via triangulation.
Adaptable: It can be tailored to various research questions and contexts.
Actionable Insights: Policy and practice implications
