Cross-sectional Descriptive Research
Cross-sectional descriptive research collects data from a population or sample at a single point in time to portray the current distribution of characteristics, attitudes, behaviors, or conditions. It answers 'what is happening now?' questions without manipulating variables or following participants over time. Widely used in epidemiology, education, psychology, and the social sciences, it is the foundation for prevalence estimates, needs assessments, and baseline profiling.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. · ISBN 978-1452226101
- Kesmodel, U. S. (2018). Cross-sectional studies — what are they good for? Acta Obstetricia et Gynecologica Scandinavica, 97(4), 388–393. · DOI 10.1111/aogs.13331
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.