Vertaile menetelmiä
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| Sekventiaalinen eksploratiivinen yhdistelmätutkimusasetelma× | Tutkimusmenetelmä: Kyselytutkimus× | |
|---|---|---|
| Tieteenala | Tutkimusasetelma | Tutkimusasetelma |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2007 | Late 19th century; methodologically systematised 1940s–1960s |
| Kehittäjä≠ | John W. Creswell & Vicki L. Plano Clark | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| Tyyppi≠ | Mixed methods research design | Quantitative (and mixed) non-experimental design |
| Alkuperäislähde≠ | Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379 | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| Rinnakkaisnimet | exploratory sequential design, SEQEXP, qual → quan design, instrument-development mixed methods | survey methodology, questionnaire research, survey design, survey study |
| Liittyvät≠ | 6 | 4 |
| Tiivistelmä≠ | The sequential exploratory mixed methods design begins with a qualitative phase to explore a poorly understood phenomenon, then builds on those findings in a second quantitative phase — most commonly to develop and test a measurement instrument, or to test whether themes identified qualitatively generalise across a broader population. The two phases are conducted in sequence, with qualitative results explicitly informing the design and content of the quantitative strand. | 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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