Research Methods: Data Types and Sources

Quantitative data is all about numbers - think test scores, reaction times, or how many words someone remembered in an experiment. It's brilliant because you can easily create graphs and charts, plus it's objective and less likely to be influenced by researcher bias. The downside? It can feel a bit cold and doesn't capture the full complexity of human behaviour.

Qualitative data tells the story behind the numbers through words, interviews, and observations. You'll get rich, detailed insights into people's thoughts and feelings that might reveal unexpected patterns. However, it's trickier to analyse and can be influenced by the researcher's own interpretations.

Most successful studies actually combine both types of data. You might measure reaction times (quantitative) but also interview participants about their experience (qualitative) to get the complete picture.

Primary data comes straight from your own research - surveys you conduct, experiments you run, or interviews you carry out. You have complete control over how it's collected, but it takes time and money. Secondary data already exists in journals, books, or online databases, making it quick and cheap to access, though it might not perfectly match your research needs.

Top Tip: Meta-analysis combines results from multiple studies to create more reliable conclusions, but watch out for publication bias where negative results might be left out!