A mixed methods research design is a procedure for collecting, analyzing, and “mixing” both quantitative and qualitative research and methods in a single study to understand a research problem. Research bias occurs when researchers try to influence the results of their work, in order to get the outcome, they want. Often, researchers may not be aware they are doing this. Whether they are aware or not, such behavior clearly severely affects the impartiality of a study and greatly reduces the value of the results. Quality of the contents of research is a foundational approach to any effective research. Also, without the application of theory, in some modus operandi, research quality maybe undercut. There is a long tradition within qualitative research of theory being central and of critical important, in undertaking research study. Mixed methods research deals with a method of analyzing, gathering and collaborating data research that involve both qualitative and quantitative research, in a solitary study and to appreciate a research problem. Having worked in the mental healthcare settings for many years, I have come to realize the important of isolating bias from mental health research. Likewise, it is significant to understand how to isolate bias at many levels of healthcare assessment.
Snowden, L. R. (2003). Bias in Mental Health Assessment and Intervention: Theory and Evidence. American Journal Of Public Health, 93(2), 239-243.
