Innovative Strategies in Research: The Role of Mixed and Multimethod Approaches in Experiments and Quasi-Experiments
Prof. Dr. Rhituraj Saikia
Prof. Dr. Rhituraj Saikia: President and CEO @ Eudoxia Research University, USA, Eudoxia Research Centre, Eudoxia Royal Solutions Pvt Ltd, Eudoxia Stellar Films Pvt Ltd., India | Ph.D., Founder and Investor
As investigators, we regularly encounter challenging situations that need original solutions. Mixed-methods research is one such strategy since it blends qualitative and quantitative approaches. Insights into the patterns, prevalence, and causal relationships in our research phenomena can be gained through primarily quantitative studies like experiments and quasi-experiments; however, these studies can be limited in scope because they often ignore the richness and diversity of individual experiences and perceptions. Therefore, a more complete and solid understanding of the topic can be attained through research that employs mixed methodologies and multimethods.
?The Advantages of Combining Techniques:
Quantitative (numerical) and qualitative (non-numerical) data are collected, analyzed, and integrated into a single study or a set of related studies as part of mixed methods research. With mixed methods, researchers can gain a deeper and broader perspective on complicated phenomena, check their own work more easily, and provide a more comprehensive justification for their conclusions. Using a combination of qualitative and quantitative techniques in research helps us address a broader range of problems and strike a better balance between broad applicability and in-depth comprehension.
?Experiments and Quasi-Experiments with Mixed Methods:
A controlled experiment is one in which the researcher alters one or more independent variables and then evaluates the effect on a dependent variable. However, in quasi-experiments, groups are not randomly assigned, therefore it is impossible to account for all potential confounding factors.
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?There are a number of ways in which mixed techniques can be incorporated into such investigations. Where both qualitative and quantitative data are needed, researchers might use a concurrent mixed methods strategy. For, a researcher conducting an experimental study on the efficacy of a new teaching approach might use interviews or focus groups in addition to tests and quizzes to learn more about the students' perspectives and experiences. It is also possible to use a sequential mixed-methods design, in which one technique is used to set the stage for the next. Quantitative surveys can be used initially to assess the overall effects of the program?in a quasi-experimental study on the impacts of a health intervention programme, and then in-depth interviews can be utilized?to investigate the reasons behind the identified outcomes.
?The Use of Various Techniques:
Although the terms are commonly used interchangeably, multimethod research is defined as the employment of more than one research strategy (such as quantitative and qualitative data collecting) inside a single research design. Using a variety of quantitative techniques, such as surveys, tests, observations, and archive data, is one example of what is meant by "multimethods" in primarily quantitative investigations. This could improve the study's validity and reliability by allowing researchers to examine many dimensions of the research issue or triangulate their findings. The effects of the independent variable on the dependent variable may be determined using a combination of different types of measurements or observations in an experimental or quasi-experimental setting. This may help us gain a deeper comprehension of the topic under study.
?There are many advantages to incorporating mixed and multimethod approaches into primarily quantitative investigations, particularly experiments and quasi-experiments. While quantitative methods yield more generalizable findings, qualitative methods allow for a more in-depth exploration of the research problem's historical and cultural background as well as participants' personal experiences and perspectives. Similarly, triangulating data from multiple sources enhance?findings when multiple methodologies are employed. The need for such holistic and integrative methods will only grow as we explore deeper into more difficult study fields.
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