Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Investigació Longitudinal× | Disseny descriptiu de recerca× | |
|---|---|---|
| Camp | Disseny de recerca | Disseny de recerca |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | Late 19th–early 20th century; methodologically codified through the 20th century | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| Autor original≠ | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| Tipus≠ | Quantitative (or mixed) observational research design | Non-experimental quantitative research design |
| Font seminal≠ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| Àlies | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| Relacionats≠ | 4 | 3 |
| Resum≠ | 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. | Descriptive research is a non-experimental quantitative design that systematically documents the characteristics, frequencies, or distributions of variables in a defined population at a given point in time. It answers 'what is' questions — who, what, when, where, and how much — without manipulating variables or drawing causal conclusions. It is one of the most widely used research designs across the social, behavioral, health, and education sciences. |
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