Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Recerca Causal-Comparativa× | Disseny descriptiu de recerca× | |
|---|---|---|
| Camp | Disseny de recerca | Disseny de recerca |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 1964 | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| Autor original≠ | Fred N. Kerlinger | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| Tipus | Non-experimental quantitative research design | Non-experimental quantitative research design |
| Font seminal≠ | Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston. link ↗ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| Àlies | ex post facto research, causal-comparative design, retrospective causal study, CCR | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| Relacionats | 3 | 3 |
| Resum≠ | Causal-comparative research is a non-experimental quantitative design in which the researcher compares two or more groups that already differ on an independent variable — one that was not manipulated — to investigate possible causes or consequences of that difference. Because group membership is pre-existing rather than randomly assigned, the design can suggest causal relationships but cannot establish them with the certainty of a true experiment. It is widely used in education, psychology, and social sciences when experimental manipulation is impractical or unethical. | 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. |
| ScholarGateConjunt de dades ↗ |
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