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| Vertailuun perustuva kuvaileva tutkimus× | Tutkimusmenetelmä: Kyselytutkimus× | |
|---|---|---|
| Tieteenala | Tutkimusasetelma | Tutkimusasetelma |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | Mid-20th century, formalized in research methods texts from the 1960s onward | Late 19th century; methodologically systematised 1940s–1960s |
| Kehittäjä≠ | Codified in educational and behavioral research methods literature; no single originator | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Tyyppi≠ | Non-experimental quantitative research design | Quantitative (and mixed) non-experimental design |
| Alkuperäislähde≠ | Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0078097874 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Rinnakkaisnimet | comparative survey design, descriptive comparative study, group-comparison descriptive research, CDR | survey methodology, questionnaire research, survey design, survey study |
| Liittyvät≠ | 3 | 4 |
| Tiivistelmä≠ | Comparative descriptive research is a non-experimental quantitative design that systematically documents characteristics, attitudes, behaviors, or conditions across two or more naturally occurring groups, then places those descriptions side by side to identify similarities and differences. Unlike causal-comparative designs, it makes no claim about why groups differ — it rigorously answers the question 'How do these groups compare on this characteristic?' without manipulating any variable. | 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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