What are the relative strengths and shortcomings of quantitative and qualitative methodologies?
Consider the comparative advantages and disadvantages in terms of design components including
sampling strategies, methods of data collection, and data analysis approaches.
Quantitative and qualitative methods of research both play important roles in design
components. Quantitative methods have results that are easily replicated that can prove or
disprove hypotheses over large sets of audience. Data from quantitative methods provide a
macro view, equipped with the details required and comparatively larger samples (Pressman,
2022). These larger samples will allow for a more generalized conclusion. Multiple data sets
are able to be evaluated simultaneously, while still being done accurately and quickly
(Pressman, 2022). Time can be saved with manual implementation of ideas being completely
automated.
Qualitative research methods have a better focus on smaller groups which ultimately leads to
less required expenses compared to quantitative research (Johnson et al., 2020). When new
developments of information emerge, revisions and the framework of the data can be made
easily. With qualitative research, the collected data is based on genuine efforts that will allow
for a clear idea of the expectations of the study (Johnson et al., 2020).
Disadvantages of quantitative methods include the often failure to provide answers more on the
why and how but reveal more of the what and to what extent. This method also requires a
monitoring of the model performance constantly so that it is ensured that there is compliance
with the hypotheses. There is an inability to control the environment and it is more expensive
and time consuming (Pressman, 2022).
Qualitative methods are difficult to maintain and demonstrate the rigidity of data. If the data is
large in quantity, it is very time consuming to analyze and interpret the data. When responses
are taken from the participants, there is a possibility of the responses being affected due to the
presence of the researchers during the data gathering process (Johnson et al., 2020). Qualitative
method results are also difficult to replicate.
REFERENCES:
Johnson, J. L., Adkins, D., & Chauvin, S. (2020). A review of the quality indicators of rigor in
qualitative research.
American journal of pharmaceutical education
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(1).
Pressman, M. S. (2022). Comparisons of qualitative and quantitative designs.
GCU doctoral
research introduction to sampling, data collection, and data analysis.
Grand Canyon
University.
