Сравнение на методи
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| Експлораторно количествено изследване× | Дескриптивно изследване× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | Mid-20th century (codified in social research methods texts c. 1950s–1970s) | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s |
| Създател≠ | Earl Babbie; John Creswell (systematic codification in social science methods) | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger |
| Тип | Non-experimental quantitative research design | Non-experimental quantitative research design |
| Основополагащ източник≠ | Babbie, E. (2021). The Practice of Social Research (15th ed.). Cengage Learning. ISBN: 978-0357360767 | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| Други названия | quantitative exploratory design, exploratory survey research, initial quantitative investigation, preliminary quantitative study | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research |
| Свързани≠ | 4 | 3 |
| Резюме≠ | Exploratory quantitative research is a non-experimental design used when a phenomenon is insufficiently understood to support formal hypothesis testing. The researcher collects numerical data — typically through surveys, structured observation, or existing records — to describe distributions, detect patterns, and generate hypotheses that more targeted confirmatory studies can subsequently test. It occupies the first stage of a cumulative quantitative research programme. | 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. |
| ScholarGateНабор от данни ↗ |
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