Mixed Method Research

Discuss what is meant by mixed-methods designs. What are the limitations of these designs?
Researchers have controversies and arguments about the validity of various research designs and approaches. Qualitative studies may have strong internal validity, but questionable external validity (Burns, Grove, & Gray, 2011). A single approach to measuring a concept may be inadequate to justify a claim that it is a valid measure of a theoretical concept. Qualitative data use open ended questions, Quantitative data use instrument based questions. Mixed methods design may use both open and closed questions. Qualitative data has few samples. Quantitative data uses instruments, inferential statistics. Qualitative data uses software usually for analyzing data. Mixed method designs may use both software and inferential statistics to analyze data. Mixed methods approaches offer investigators to utilize the strengths of both qualitative and quantitative research designs (Burns, Grove, & Gray, 2011).
Mixed method research in the social and health sciences that involve combining both statistical trends, and stories or their live experiences where participants share to study human and social problems.
The four primary mixed methods designs are
The study would be a explanatory sequential design. Research question would be relationship between congestive heart failure education while being an inpatient in a hospital setting and readmission rates in elderly patients over 65.Qualitative method will be a face to face interview with patients about education provided at the hospital. Quantitative data getting data from hospital records retrospectively about documented education and readmission rates. Exploratory sequential design. In this method, qualitative data is collected in the first phase and then findings of the qualitative data are used in the second quantitative phase (Polit & Beck,