Confronta i metodi

	Ricerca descrittiva trasversale	Ricerca Longitudinale
Campo	Disegno della ricerca	Disegno della ricerca
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	Mid-20th century (1950s–1970s, widespread codification)	Late 19th–early 20th century; methodologically codified through the 20th century
Ideatore	Rooted in survey methodology traditions; formalized in epidemiology and social science research design texts of the mid-20th century	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
Tipo	Quantitative observational research design	Quantitative (or mixed) observational research design
Fonte seminale	Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
Alias	cross-sectional survey, descriptive cross-sectional study, prevalence study, one-shot descriptive survey	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
Correlati	3	4
Sintesi	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.	Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time.