เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิจัยเชิงเปรียบเทียบสาเหตุ× | การวิจัยสำรวจ× | |
|---|---|---|
| สาขาวิชา | การออกแบบการวิจัย | การออกแบบการวิจัย |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1964 | Late 19th century; methodologically systematised 1940s–1960s |
| ผู้ริเริ่ม≠ | Fred N. Kerlinger | Francis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s |
| ประเภท≠ | Non-experimental quantitative research design | Quantitative (and mixed) non-experimental design |
| แหล่งต้นตำรับ≠ | Kerlinger, F. N. (1964). Foundations of Behavioral Research. Holt, Rinehart and Winston. link ↗ | Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000 |
| ชื่อเรียกอื่น | ex post facto research, causal-comparative design, retrospective causal study, CCR | survey methodology, questionnaire research, survey design, survey study |
| ที่เกี่ยวข้อง≠ | 3 | 4 |
| สรุป≠ | 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. | 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. |
| ScholarGateชุดข้อมูล ↗ |
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