Recruiter's Glossary

Examples: Double-Blind • Confounding Variables • Research Compliance

Quantitative Research

Term from Research Institutions industry explained for recruiters

Quantitative Research is a way of studying topics using numbers and statistics rather than descriptions or observations. It's like taking a scientific approach to understanding problems by collecting and analyzing numerical data. This could involve surveys with large numbers of people, analyzing market trends with statistics, or studying patterns in experimental data. Researchers use this method when they need clear, measurable results that can be checked by others. It's different from qualitative research, which focuses more on detailed descriptions and interviews. You'll often see this term in job descriptions for research positions at universities, research institutes, and companies that need data-driven insights.

Examples in Resumes

Led Quantitative Research projects analyzing consumer behavior patterns across 5 markets

Applied Quantitative Research methods to evaluate effectiveness of educational programs

Conducted Quantitative Research Studies resulting in 3 peer-reviewed publications

Used Statistical Research approaches to analyze market trends

Typical job title: "Quantitative Researchers"

Also try searching for:

Research Analyst Quantitative Analyst Research Scientist Data Scientist Statistical Researcher Research Associate Quantitative Research Associate

Where to Find Quantitative Researchers

Professional Organizations

Online Communities

Job Boards

Example Interview Questions

Senior Level Questions

Q: How do you ensure the validity and reliability of your research methods?

Expected Answer: Should discuss experience with research design, sample size determination, controlling for variables, and statistical validation techniques. Should mention methods for reducing bias and ensuring reproducibility of results.

Q: Tell me about a complex research project you led and how you handled challenges.

Expected Answer: Should demonstrate project management skills, problem-solving abilities, and experience leading research teams. Should explain how they maintain research quality while meeting deadlines.

Mid Level Questions

Q: What statistical methods do you commonly use in your research?

Expected Answer: Should be able to explain basic and intermediate statistical concepts in simple terms, and demonstrate when to use different methods for different research questions.

Q: How do you present complex research findings to non-technical audiences?

Expected Answer: Should show ability to communicate technical information clearly, use visual aids effectively, and adapt presentation style to different audiences.

Junior Level Questions

Q: What's the difference between quantitative and qualitative research?

Expected Answer: Should explain that quantitative research uses numbers and statistics while qualitative research uses descriptions and observations. Should provide basic examples of each.

Q: How do you ensure data quality in your research?

Expected Answer: Should discuss basic data collection methods, checking for errors, and simple validation techniques. Should show understanding of the importance of accurate data.