How do qualitative and quantitative data differ in community health research? Include an example for each.

• A. Qualitative data are numeric counts; quantitative data are quotes and themes.
• B. Qualitative data are non-numeric (interviews, themes); quantitative data are numeric (counts, rates).
• C. Qualitative data come from experiments; quantitative data come from surveys.
• D. Qualitative data are always subjective; quantitative data are objective.

Answer: (B)

Qualitative and quantitative data differ in how information is collected and analyzed in community health research. Qualitative data are non-numeric and gathered to explore experiences, perceptions, and meanings. They come from sources like interviews, focus groups, and direct observation, and are analyzed for patterns and themes rather than numbers. For example, you might interview community members about why they delay seeking care and identify recurring barriers such as transportation, cost, or stigma.

Quantitative data are numeric and collected to measure or quantify phenomena, allowing comparison and statistical analysis. They come from surveys with closed-ended questions, health records, or environmental measurements. For example, you could calculate the percentage of residents who received a flu vaccine in a neighborhood or the rate of asthma hospitalizations per 1,000 people, then compare across groups or over time.

Both approaches offer valuable insights, and many studies use a mix of qualitative and quantitative data to provide a fuller picture.