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Indagine Relazionale Trasversale×Ricerche basate su sondaggi relazionali×
CampoDisegno della ricercaDisegno della ricerca
FamigliaProcess / pipelineProcess / pipeline
Anno di origineMid-20th century onwardMid-20th century onward (systematised ~1960s–1990s)
IdeatoreRooted in survey methodology traditions; codified by Fraenkel, Wallen, and Creswell among othersEstablished in educational and social science research methodology; systematised by Fraenkel & Wallen and others
TipoNon-experimental quantitative designQuantitative non-experimental survey design
Fonte seminaleFraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0078097706Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2009). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0073525748
Aliascross-sectional correlational survey, one-time relational survey, cross-sectional associational survey, single-occasion relational surveycorrelational survey, associational survey, relationship survey design, relational descriptive survey
Correlati44
SintesiA cross-sectional relational survey collects data from a representative sample at a single point in time and examines the statistical relationships (correlations, associations, predictions) among two or more variables. It combines the temporal efficiency of cross-sectional design with the relational focus of correlational survey research, making it one of the most widely used quantitative designs in education, social science, and health research when a quick, population-level picture of variable relationships is needed.Relational survey research is a quantitative, non-experimental design that gathers structured self-report data from a sample and examines the statistical associations among two or more variables. Unlike purely descriptive surveys, which only characterise distributions, relational surveys ask whether and how strongly variables co-vary — providing evidence of relationships without manipulating conditions or establishing causation.
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ScholarGateConfronta i metodi: Cross-sectional relational survey · Relational Survey. Consultato il 2026-06-19 da https://scholargate.app/it/compare