Which research method collects data from different groups at the same time?

Cross-sectional research is a method that involves collecting data at a single point in time from multiple different groups or individuals. This approach allows researchers to compare various characteristics across these groups to identify patterns or differences. For instance, a cross-sectional study could survey both younger and older adults to examine health behaviors at a specific time, facilitating concurrent analysis of diverse demographics.

In contrast, longitudinal research focuses on the same group of subjects over an extended period, tracking changes and developments through repeated measurements. Qualitative research emphasizes understanding experiences and thoughts through interviews or focus groups rather than collecting statistical data from various groups at one time. Meta-analysis involves synthesizing findings from multiple studies rather than gathering new data from different groups simultaneously. Hence, cross-sectional research is distinctly characterized by its simultaneous data collection from various groups, which is crucial for understanding a snapshot of a population's characteristics.