What is the term for the number of participants involved in a research study?

The term "Sample Size" refers specifically to the number of participants included in a research study. This is a crucial metric, as it can significantly influence the validity and reliability of the research findings. A larger sample size typically provides a more accurate representation of the overall population, leading to more generalizable results.

In user experience research, understanding the correct sample size is essential for drawing meaningful conclusions about user behaviors, preferences, and needs. A well-chosen sample size helps ensure that insights derived from the study can be confidently applied to the broader user base, minimizing potential biases that smaller samples might introduce.

The other terms listed have distinct meanings within the context of research. For instance, "Population" refers to the entire group from which a sample is drawn, while "Demographic" relates to specific characteristics of the population or sample, such as age, gender, or income. "Sample Frame" describes the actual list or database from which a sample is selected, ensuring that it is representative of the population. Thus, identifying the correct term as "Sample Size" is critical for understanding how participant numbers impact research outcomes.