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Research Design Overview
(continued)
• If multiple approaches to inquiry were combined, describe how this was done and provide
a rationale (e.g., descriptive, interpretive, feminist, psychoanalytic, postpositivist, critical,
postmodern, constructivist, or pragmatic approaches), as it is illuminating for the mixed
method in use.
• Provide a rationale or justification for the need to collect both qualitative and quantitative
data and the added value of integrating the results (findings) from the two databases.
Guidance for Reviewers
‒ Because mixed methods research is a relatively new methodology, it is helpful to provide
a definition of it from a major reference in the field.
‒ Mixed methods research involves rigorous methods, both qualitative and quantitative.
Refer to the JARS–Qual standards (qualitative) and JARS–Quant standards (quantitative)
for details of rigor.
‒ One of the most widely discussed topics in the mixed methods literature would be
research designs. There is not a generic mixed methods design but rather multiple
types of designs. Basic, core designs include convergent design, explanatory sequential
design, and exploratory sequential design. Although the names and types of designs may
dier among mixed methods writers, a common understanding is that procedures for
conducting a mixed methods study may dier from one project to another. Further, these
basic procedures can be expanded by linking mixed methods to other designs (e.g., an
intervention or experimental trial mixed methods study), to theories or standpoints (e.g.,
a feminist mixed methods study), or to other methodologies (e.g., a participatory action
research mixed methods study).
Participants or Other Data Sources
• See the JARS–Qual and JARS–Quant Standards.
• When data are collected from multiple sources, clearly identify the sources of qualitative
and quantitative data (e.g., participants, text), their characteristics, and the relationship
between the data sets, if there is one (e.g., an embedded design).
• State the data sources in the order of procedures used in the design type (e.g., qualitative
sources first in an exploratory sequential design followed by quantitative sources), if a
sequenced design is used in the mixed methods study.
Guidance for Authors
‒ Because multiple sources of data are collected, separate descriptions of samples are
needed when they dier. A table of qualitative sources and quantitative sources is
helpful. This table could include type of data, when data were collected, and from whom.
This table might also include study aims/research questions for each data source and
anticipated outcomes of the study. In mixed methods research, this table is often called
an "implementation matrix."
‒ Rather than describe data as represented in numbers versus words, it is better to
describe sources of data as open-ended information (e.g., qualitative interviews) and
closed-ended information (e.g., quantitative instruments).
Researcher Description
• See the JARS–Qual Standards.
Guidance for Authors
‒ Because mixed methods research includes qualitative research, and reflexivity is often
included in qualitative research, we recommend statements as to how the researchers’
backgrounds influence the research.
Guidance for Reviewers
‒ It is helpful to establish in a publication the researchers’ experiences (or research
teams’ experiences) with both qualitative and quantitative research as a prerequisite for
conducting mixed methods research.
Participant Recruitment
Participant Sampling or Selection
• See the JARS–Qual and JARS–Quant Standards.
• Describe the qualitative and the quantitative sampling in separate sections.
• Relate the order of the sections to the procedures used in the mixed methods design type.
Participant Recruitment
• See the JARS–Qual and JARS–Quant Standards.
• Discuss the recruitment strategy for qualitative and quantitative research separately.
Data Collection
Data Collection/Identification Procedures
• See the JARS–Qual and JARS–Quant Standards.
Recording and Transforming the Data
• See the JARS–Qual Standards.
Data Analysis
• See the JARS–Qual and JARS–Quant Standards.
• Devote separate sections to the qualitative data analysis, the quantitative data analysis,
and the mixed methods analysis. This mixed methods analysis consists of ways that
the quantitative and qualitative results will be “mixed” or integrated according to the
type of mixed methods design used (e.g., merged in a convergent design, connected in
explanatory sequential designs and in exploratory sequential designs).
Validity, Reliability, and Methodological Integrity
• See the JARS–Qual and JARS–Quant Standards.
• Indicate methodological integrity, quantitative validity and reliability, and mixed methods
validity or legitimacy. Further assessments of mixed methods integrity are also indicated to
show the quality of the research process and the inferences drawn from the intersection of
the quantitative and qualitative data.
JARS–Mixed | Table 1 | Page 2 of 3