Application of Embedding Model in Mixed Methods Research to Real-World Nursing Problem

Mixed Methods Research
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Mixed methods research incorporates quantitative and qualitative research approaches. The embedding strategy for mixed methods research is a technique where qualitative data is used to inform the design of quantitative studies, and vice-versa (Sahin & Öztürk, 2019). This strategy may be used to strengthen the understanding of research questions, gain insight into the complexity of the research, and provide an integrated analysis. The embedding strategy for mixed methods research may be applied to multiple real-world problems in nursing research. This discussion elaborates on applying the embedding model in mixed methods research in terms of how a particular regulation impacts nurse satisfaction.
The nursing sector is highly regulated, and it is vital to make sure that all research complies with the relevant rules. Research ethics should be considered since the study may involve vulnerable populations, and the data collected must be handled with the utmost care and respect. This procedure should be conducted according to any applicable ethical guidelines (Chien, 2019). In a research project designed to explore the impact of a new healthcare policy on nurse satisfaction, the embedding model would work effectively to collect appropriate data. This study would involve a combination of qualitative interviews and quantitative surveys, with the qualitative data providing an in-depth understanding of nurses' opinions and experiences and the quantitative data providing a more objective measure of nurse satisfaction.
The two aspects of research would be embedded to inform each other, giving a more comprehensive view of the impact of the policy. The embedding method is particularly appropriate for studies that involve regulations because the rules themselves may be utilized as a frame of reference for the research. By embedding the regulator...