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Reference table

Qualitative vs quantitative research compared

Eight dimensions, from sample size to the output you get

Table comparing qualitative and quantitative research on data type, sample size, depth, best use, flexibility, bias risk, analysis and output
Small samples and deep answers on one side, large samples and broad numbers on the other. Most studies need both.

A reference table comparing qualitative and quantitative research across eight dimensions: the kind of data, typical sample size (5 to 30 against 100 or more), depth, what each is best for, flexibility, where bias creeps in, how it is analyzed and what it produces. Use it to pick a method for a research question or to explain the choice to stakeholders. Koji runs AI-moderated interviews, which lets the qualitative side reach larger samples than a team could moderate by hand.

Where this appears

What's in this reference table

QualitativeQuantitative
Data typeWords, themes, observationsNumbers, ratings, frequencies
Sample sizeSmall (5 to 30)Large (100+)
DepthDeepBroad
Best forExploring the unknownValidating at scale
FlexibilityHigh: the conversation can go anywhereLow: fixed questions
Bias riskInterviewer influenceQuestion wording, response bias
AnalysisThematic codingStatistical analysis
OutputInsights, quotes, themesCharts, percentages, correlations

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<p>Source: <a href="https://www.koji.so/visuals/qualitative-vs-quantitative-research-comparison-table">Qualitative vs quantitative research compared</a>, Koji</p>