Describe mixed methods
research. When would this be appropriate? Try to find an example in the
literature of mixed methods research and present to the class.
Mixed methods research is the
planned collection and integration of qualitative and quantitative data within
single studies or coordinated clusters of studies (Polit & Beck, 2014). Being
a collection of data, mixed methods research can come in different forms or
ways, priority is given to one or both forms of the data and again it in can
come as a single study or multiple. When deciding whether mixed method research
is appropriate, there are several factors taken into consideration. These
factors are: level of interaction between two strands (independent or
interactive), priority (equal or unequal in priority), timing (concurrent,
sequential or possibly a combination of the two), and where or how to mix the
strands (is there a point of interface and mixing strategies). According to
Halcomb and Hickman (2015), mixed methods represents an alternative
methodological approach, combining qualitative and quantitative research
approaches, which enables nurse researchers to explore complex phenomena in
Mixed method research is not
only utilized for a different method of data collection but it also serves as
an alternative to overcome barriers in research. Research barriers such as
evaluation of chronic pain management amongst American Indians include factors
such as the limited number of American Indians in one area or tribe,
limitations on individual databases and widespread racial misclassification. A
mixed methods research approach is needed to understand the complex experience,
epidemiology, and management of chronic pain among American Indians and to
address the strengths and weaknesses of quantitative methodologies (large
sample size, trends, generalizable) with those of qualitative methodologies
(small sample size, details, in-depth) (Doorenbos, 2014). For this research a triangulation design was
utilized. According to Almalki (2016) the triangulation design is one which seeks
to gather complimentary yet distinctly different data on the same topic which
can then be integrated for analysis and interpretation. By using the
multi-level model in which quantitative data collected at the national and
state levels will be analyzed in parallel with the collection and analysis of
the qualitative data at the patient level this allows the weakness of one approach
to be offset by the strengths of the other, resulting with separate level analyses
which will be compared, contrasted and blended leading to an overall
interpretation of results (Doorenbos, 2014).
Mixed methods are increasingly
being used in research, the collaborative nature brings forth a richness to
examining phenomenon’s in which a single method would not. While there are
challenges with simultaneous data, utilizing teams to conduct the research and acquiring
additional data as required is key to successful studies.
Almalki, S. (2016). Integrating Quantitative and Qualitative
Data in Mixed Methods Research:
Challenges and Benefits. Journal of Education and Learning, 5 (3), 288-293.
Doorenbos, A. Z. (2014). Mixed Methods in Nursing Research?:
An Overview and Practical
Examples. Kango Kenkyu. The Japanese Journal
of Nursing Research, 47(3), 207–217.
Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287271/#
Halcomb, E., & Hickman, L. (2015). Mixed Methods
Research. Nursing Standard, 29,32, 41-47.
Polit, D. F., & Beck, C. T. (2014). Essentials of Nursing Research: Appraising Evidence of
Practice (8th ed.). (pp.339) Philadelphia, PA: Wolters Kluwer
Williams & Wilkins.