Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Výzkum typu „descriptive research“× | Výzkum pomocí dotazníkového šetření× | |
|---|---|---|
| Obor | Design výzkumu | Design výzkumu |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | Late 19th century; formalized in social/behavioral sciences ~1960s–1980s | Late 19th century; methodologically systematised 1940s–1960s |
| Tvůrce≠ | Francis Galton, Karl Pearson (early empirical tradition); formalized in social science by Fred Kerlinger | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Typ≠ | Non-experimental quantitative research design | Quantitative (and mixed) non-experimental design |
| Původní zdroj≠ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Další názvy | descriptive study, descriptive survey design, observational descriptive research, non-experimental descriptive research | survey methodology, questionnaire research, survey design, survey study |
| Příbuzné≠ | 3 | 4 |
| Shrnutí≠ | 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. | Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences. |
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