What does a sequential design combine?

A sequential design effectively combines cross-sectional and longitudinal designs to address specific research questions. In this hybrid approach, researchers can capture data from different cohorts at various points in time, allowing for the observation of changes and differences across both age groups and over time.

By using cross-sectional methods, a researcher can gather a snapshot of a population at a single point, while the longitudinal aspect allows for the monitoring of the same individuals or cohorts over an extended period. This dual approach helps in identifying trends, developmental changes, and effects that may evolve as participants age, providing a comprehensive picture of the phenomena being studied.

This design is particularly valuable in fields where understanding both the timing and the effects of variables across different age groups or developmental stages is crucial for drawing meaningful conclusions.