Mixed Methods Research: Critique, Ethics, and Integration Barriers

This discussion board post features critiques of mixed methods research designs, focusing on their scope, significance, and ethical implications. Students A, B, and C provide constructive feedback, highlighting potential ethical issues such as data access and participant information security, as well as feasibility constraints related to time, resources, and researcher skills. The posts identify barriers to integrating qualitative and quantitative data, including sampling approaches, data collection challenges, and the need for specialized researcher skills. The discussion also touches on the importance of ethical norms and the potential impact of cost and time constraints on research outcomes. References to relevant studies and methodologies support the arguments presented. Access more solved assignments and study resources on Desklib.

Running Head: MANAGEMENT
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Table of Contents
Student A:...................................................................................................................................2
Student B:...................................................................................................................................2
Student C:...................................................................................................................................3
References..................................................................................................................................4

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Student A:
Providing constructive critique on the scope and significance of mixed methods designs
The mixed research design is effective for considering a qualitative and quantitative method.
This method could permit to conduct semi-structure interview with different persons as it
facilitates to have theoretical and statistical data (Johnson, et al., 2007).
Highlighting possible ethical issues and feasibility constraints with the collection of
mixed methods data
Under this, many issues have been confronted by the investigators as it could be associated
with the data access, and subsequently to time, resources, and research skills. The insecurity
of participant information could create ethical issues in the data collection.
Explaining the most important barriers to the integration of qualitative and
quantitative data
There are certain barriers that may face in the integration of both qualitative as well as
quantitative data such as sampling approaches as well as data access and collection, and lack
of researcher’s skills (Small, 2011).
Student B:
Providing constructive critique on the scope and significance of mixed methods designs
The mixed method offers an opportunity to use open-ended and focused group method and
collect the data. It could lead to having the benefits of both qualitative and quantitative
method at the same time that increase the quality of study outcome (Collis & Hussey, 2013).
Highlighting possible ethical issues and feasibility constraints with the collection of
mixed methods data
The mixed method could require higher security of data but a lack of knowledge towards the
data set could create the feasibility issue in the study. In the study, the researcher needed to

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secure the confidential data of participants but lack of the ethical norms could create the same
issue in the study and affect the performance.
Explaining the most important barriers to the integration of qualitative and
quantitative data
This method could also require higher cost and time that could negatively affect the overall
outcome. The specified time of task accomplishment could mandate to the investigator for
thecomplication of the task that could also negatively affect the outcome quality (Venkatesh,
et al., 2013).
Student C:
Providing constructive critique on the scope and significance of mixed methods designs
The positivism has been practiced that support to increase the reliability of the quality of
research outcome. This method could offer scope to collect the numerical and non-numerical
information towards the study (Rahman, 2017).
Highlighting possible ethical issues and feasibility constraints with the collection of
mixed methods data
SPSS software is used to evaluate the data that is time-consuming and costly as compared to
other software as it could affect feasibility constraints. The participant will be liable to share
all the information of the study to the participants towards the research issue. In the lack of
this, the whole process of data collection has been affected.
Explaining the most important barriers to the integration of qualitative and
quantitative data
At the time of integration of mixed method, it is complicated for the investigator to collect
the findings in the context of research matter and make a decision in the favor of research
matter. The lack of researcher skills could also affect the overall outcome of the study
(Venkatesh, et al., 2013).

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References
Collis, J. & Hussey, R. (2013) Business Research: A Practical Guide for Undergraduate and
Postgraduate Students. 4 ed. London: Palgrave-MacMillan.
Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed
methods research. Journal of mixed methods research, 1(2), 112-133.
Rahman, M. S. (2017) ‘The Advantages and Disadvantages of Using Qualitative and
Quantitative Approaches and Methods in Language “Testing and Assessment” Research: A
Literature Review’, Journal of Education and Learning, 6(1), pp. 102–112. Available
at:https://search-ebscohost-com.liverpool.idm.oclc.org/login.aspx?
direct=true&db=eric&AN=EJ1120221&site=eds-live&scope=site (Accessed: 10 May
2019).
Small, M. L. (2011). How to conduct a mixed methods study: Recent trends in a rapidly
growing literature. Annual review of sociology, 37, 57-86.
Venkatesh, V., Brown, S. A. and Bala, H. (2013) ‘Bridging the Qualitative-Quantitative
Divide: Guidelines for Conducting Mixed Methods Research in Information Systems’, MIS
Quarterly, 37(1), pp. 21–54. Available at: https://search-ebscohost-
com.liverpool.idm.oclc.org/login.aspx?direct=true&db=bth&AN=85634550&site=eds-
live&scope=site (Accessed: 7 May 2019).
Venkatesh, V., Brown, S.A. & Bala, H. (2013) ‘Bridging the qualitative-quantitative divide:
Guidelines for conducting mixed methods research in information systems’. MIS Quarterly,
37(1), pp. 21-54.