⊿ Point. {R} Glossary. ◢ Keyword: C. ◥ University. {q} PhD. {tr} Training. ⚫ UK. ↂ EndNote. ☝️ Weerakkody. Cross-sectional study. Type of study based on universal sampling In medical research, social science, and biology, a cross-sectional study (also known as a cross-sectional analysis, transverse study, prevalence study) is a type of observational study that analyzes data from a population, or a representative subset, at a specific point in time—that is, cross-sectional data. In economics, cross-sectional studies typically involve the use of cross-sectional regression, in order to sort out the existence and magnitude of causal effects of one independent variable upon a dependent variable of interest at a given point in time.
They differ from time series analysis, in which the behavior of one or more economic aggregates is traced through time. Healthcare[edit] Cross-sectional studies involve data collected at a defined time. Advantages[edit] Disadvantages[edit] Routine data may not be designed to answer the specific question. Weaknesses of aggregated data[edit] Economics[edit] References[edit] Sources[edit]