42. Strengths of Quantitative Analysis:
Reliability: With controlled conditions and standardized measures, it’s
often easier to replicate.
Generalizability: Larger sample sizes mean results can often be
generalized to a broader population.
Objective Stance: Data is less open to interpretation, making it more
straightforward.
Strengths of Qualitative Analysis:
43. Limitations of Qualitative Analysis:
Subjectivity: The risk of bias is higher, given the researcher’s
involvement in data interpretation.
Time-Consuming: Given its depth, qualitative research can be more
time-intensive.
Limited Generalizability: Smaller sample sizes mean it’s harder to
generalize findings.
Limitations of Quantitative Analysis:
Lack of Depth: While it covers breadth, it might miss out on the
depth of insights that qualitative analysis offers.
Inflexibility: The structured nature means it’s harder to adapt once
the research process begins.
Potential for Oversight: It might miss out on nuances or intangible
factors.
44.
45. Choosing Between the Two:
The choice between qualitative and quantitative often boils down to
the research question, objectives, and available resources.
For exploratory research or when the phenomena are not well
understood, qualitative might be the way to go.
For testing hypotheses or when a vast amount of data is available,
quantitative might be more suitable.
Conclusion
