GL Analytics Statistical & Research Consultancy

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GL Analytics Statistical & Research Consultancy "A non-profit research consulting service dedicated to conducting both qualitative and quantitative research methodologies.

Our aim is to gain a comprehensive understanding of various topics and issues that impact communities and stakeholders."

📊 Research Methods Explained: Qualitative vs. Quantitative ResearchResearch Methods: Quantitative and QualitativeResearc...
27/08/2026

📊 Research Methods Explained:
Qualitative vs. Quantitative Research

Research Methods: Quantitative and Qualitative

Research methods are systematic approaches used to collect, analyze, and interpret data. The two main types are quantitative research and qualitative research.

Advantages

Quantitative Research
* Produces reliable and objective results.
* Allows statistical analysis.
* Findings can often be generalized to a larger
population.
* Easy to compare results.

Qualitative Research
* Provides rich, detailed information.
* Explores participants’ feelings, beliefs, and
experiences.
* Flexible and adaptable during data collection.
* Helps explain why people behave in certain ways.

Disadvantages

Quantitative Research
* May not capture participants’ emotions or opinions
in depth.
* Requires large samples.
* Can be expensive and time-consuming.

Qualitative Research
* Findings are difficult to generalize.
* Data analysis can be subjective.
* Small sample sizes may not represent the entire
population.
* Time-consuming to collect and analyze data.

Key Differences
* Quantitative research answers questions such as “How many?”, “How much?”, or “What is the
relationship?”
* Qualitative research answers questions such as
“Why?”, “How?”, or “What does it mean?”

Mixed Methods Research
Some studies combine both approaches. This is called mixed methods research, where numerical data is supported by detailed qualitative insights to provide a more comprehensive understanding of the research problem.

Summary:
* Quantitative = Numerical data + Statistical analysis
+ Large samples + Objective findings.
* Qualitative = Non-numerical data + Thematic
analysis + Small samples + In-depth understanding.
* Mixed methods = Combination of both approaches
for a fuller picture.


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