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What is Quantitative Research? - Free Course on Thesis Proposal Writing (See Links Below)
PHILO-notes
Overview
This video introduces quantitative research, defining it as the systematic study of observable phenomena using quantifiable data and mathematical/statistical analysis. It emphasizes measurement as the bridge between observation and mathematical expression. The video outlines two main types: primary (collecting new data) and secondary (using existing data). Primary research is further broken down into types of studies, data collection methods, and analysis techniques, though these are not detailed here. Secondary research, also called desk research, involves analyzing pre-existing data for validation or new insights. The core purpose is to develop theories, models, and hypotheses about phenomena.
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Chapters
- Quantitative research systematically investigates observable phenomena by collecting measurable data.
- It uses computational, mathematical, and statistical techniques to analyze this data.
- The goal is to develop theories, models, and hypotheses about a phenomenon.
- Measurement, assigning numbers to observations, is crucial for connecting empirical data with mathematical analysis.
Understanding the definition and core components of quantitative research is essential for designing studies that can yield objective and valid insights into a phenomenon.
Using demographic data, market size, and consumer preferences to inform business decisions.
- Quantitative research often uses sampling methods to gather data from a subset of a population, allowing inferences about the larger group.
- Data is typically collected through tools like questionnaires, online polls, and surveys.
- This systematic approach ensures that findings can be generalized beyond the sample studied.
Knowing how data is collected and generalized is key to understanding the scope and limitations of quantitative findings.
Collecting data from a sample of consumers via an online survey to understand the preferences of the entire target market.
- Quantitative research is broadly divided into primary and secondary methods.
- Primary research involves collecting new data directly from respondents.
- Secondary research utilizes existing data from previous studies, the internet, libraries, or public records.
Distinguishing between primary and secondary research helps researchers choose the most efficient and appropriate approach for their investigation.
A researcher deciding whether to conduct a new survey (primary) or analyze existing government census data (secondary) for their study.
- Primary research can be categorized by study techniques, data collection methodologies, and data analysis techniques.
- Study techniques include survey, correlational, causal-comparative, and experimental research.
- Data collection focuses on sampling methods, surveys, and polls.
- Analysis techniques mentioned include SWOT, conjoint, cross-tabulation, and TERF analysis (though these are not detailed).
Understanding the different subtypes of primary research provides a framework for selecting specific methodologies that align with research questions.
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- Secondary quantitative research, also known as desk research, uses data that has already been collected.
- Researchers can gather this data from online sources, libraries, government records, and previous studies.
- Its purpose can be to discover new insights or, more commonly, to validate and strengthen existing findings.
- Common sources include internet data, government/non-government reports, and commercial databases.
Secondary research offers a cost-effective way to leverage existing knowledge, either to build upon previous work or to verify current hypotheses.
A researcher using publicly available economic reports to validate their hypothesis about market trends.
Key takeaways
- Quantitative research relies on measurable data and statistical analysis to understand phenomena objectively.
- Measurement is the fundamental link between real-world observations and mathematical representation in quantitative studies.
- Sampling allows researchers to draw conclusions about large populations from smaller, representative groups.
- Primary research generates new data, while secondary research analyzes existing data.
- Secondary research, or desk research, is valuable for validating previous findings and can be more efficient than primary data collection.
- The choice between primary and secondary research depends on the research question, available resources, and the need for new vs. existing data.
Key terms
Quantitative ResearchEmpirical InvestigationQuantifiable DataMeasurementSampling MethodPrimary Quantitative ResearchSecondary Quantitative ResearchDesk ResearchSurvey ResearchCorrelational Research
Test your understanding
- What is the core difference between primary and secondary quantitative research?
- Why is measurement considered central to quantitative research?
- How does sampling in quantitative research allow for broader conclusions?
- What are the main goals of conducting quantitative research?
- Describe a scenario where secondary quantitative research would be more appropriate than primary research.